PUBLICATIONS

Here you find a list of all publications using our Segment software solutions

If you have a publication that is missing in the list, please send us the bibliographic information (such as Pubmed link) of your final work to support@medviso.com

1319Birnefeld, J., Petersson, K., Wåhlin, A., Eklund, A., Birnefeld, E., Qvarlander, S., Haney, M., Malm, J., & Zarrinkoob, L. (2024). Cerebral Blood Flow Assessed with Phase-contrast Magnetic Resonance Imaging during Blood Pressure Changes with Noradrenaline and Labetalol: A Trial in Healthy Volunteers. Anesthesiology, 140(4), 669–678. https://doi.org/10.1097/ALN.0000000000004775
1318Torbati, S., Daneshmehr, A., Pouraliakbar, H., & Asgharian, M. (2024). Personalized evaluation of the passive myocardium in ischemic cardiomyopathy via computational modeling using Bayesian optimization. Biomechanics and Modeling in Mechanobiology, 23(5), 1591–1606. https://doi.org/10.1007/s10237-024-01856-0
1317Rubio, B., Pintado, C., Mazuecos, L., Benito, M., Andrés, A., & Gallardo, N. (2024). Central Actions of Leptin Induce an Atrophic Pattern and Improves Heart Function in Lean Normoleptinemic Rats via PPARβ/δ Activation. Biomolecules, 14(8). https://doi.org/10.3390/biom14081028
1316Moustafa, M., & Alfrargy, A. (2024). Correlation between Pre-Operative Myocardial Fibrosis and Early Post CABG Dysrhythmia. Cardiology and Angiology: An International Journal, 13(1), 92–100. https://doi.org/10.9734/CA/2024/v13i1398
1315Tang, X.-L., Wysoczynski, M., Gumpert, A. M., Solanki, M., Li, Y., Wu, W.-J., Zheng, S., Ruble, H., Li, H., Stowers, H., Zheng, S., Ou, Q., Tanveer, N., Slezak, J., Kalra, D. K., & Bolli, R. (2024). Intravenous infusions of mesenchymal stromal cells have cumulative beneficial effects in a porcine model of chronic ischaemic cardiomyopathy. Cardiovascular Research, 00(0), 1–14. https://doi.org/10.1093/cvr/cvae173
1314Barrett, C. M., Bawaskar, P., Hughes, A., Athwal, P. S. S., Guo, Y., Alexy, T., & Shenoy, C. (2024). Right Ventricular Function on Cardiovascular Magnetic Resonance Imaging and Long-Term Outcomes in Stable Heart Transplant Recipients. Circulation: Cardiovascular Imaging, 17(4), E016415. https://doi.org/10.1161/CIRCIMAGING.123.016415
1313Székely, A., Steding-Ehrenborg, K., Ryd, D., Hedeer, F., Valind, K., Akil, S., Hindorf, C., Hedström, E., Erlinge, D., Arheden, H., & Engblom, H. (2024). Quantitative myocardial perfusion should be interpreted in the light of sex and comorbidities in patients with suspected chronic coronary syndrome: A cardiac positron emission tomography study. Clinical Physiology and Functional Imaging, 44(1), 89–99. https://doi.org/10.1111/cpf.12854
1312Maciel, C., & Zou, Q. (2024). Dynamic MRI interpolation in temporal direction using an unsupervised generative model. Computerized Medical Imaging and Graphics, 117(August), 102435. https://doi.org/10.1016/j.compmedimag.2024.102435
1311Nucl, J. R., Ibrahim, G. S., Abdeldayem, E. H., Abbas, S. N., Mozy, W. E. El, & Ibrahim, A. S. (2024). Dobutamine stress cardiac magnetic resonance ‑ feature tracking in assessment of myocardial ischemia and viability. Egyptian Journal of Radiology and Nuclear Medicine. https://doi.org/10.1186/s43055-024-01261-8
1310Sjöberg, P., Clausen, H., Arheden, H., Liuba, P., & Hedström, E. (2024). Atrial septal defect closure in children at young age is beneficial for left ventricular function. European Heart Journal – Imaging Methods and Practice, 2(1), 1–8. https://doi.org/10.1093/ehjimp/qyae058
1309Pola, K., Ashkir, Z., Myerson, S., Arheden, H., Watkins, H., Neubauer, S., Arvidsson, P. M., & Raman, B. (2024). Flow inefficiencies in non-obstructive HCM revealed by kinetic energy and hemodynamic forces on 4D-flow CMR. European Heart Journal – Imaging Methods and Practice, 2(3), 1–12. https://doi.org/10.1093/ehjimp/qyae074
1308Moreno-Arciniegas, A., García, A., Kelm, M., D’Amore, F., da Silva, M. G., Sánchez-González, J., Sánchez, P. L., López-Fernández, T., Córdoba, R., Asteggiano, R., Camus, V., Smink, J., Ferreira, A., Kersten, M. J., Bolaños, N., Escalera, N., Pacella, E., Gómez-Talavera, S., Quesada, A., … Picard, A. (2024). Rationale and design of RESILIENCE: A prospective randomized clinical trial evaluating remote ischaemic conditioning for the prevention of anthracycline cardiotoxicity. European Journal of Heart Failure, 1–10. https://doi.org/10.1002/ejhf.3395
1307Heineke, A. B., Rolling, C. C., Seidel, C., Erley, J., Molwitz, I., Muellerleile, K., Saering, D., Senftinger, J., Börschel, N., Engel, N. W., Bokemeyer, C., Adam, G., Tahir, E., & Chen, H. (2024). Long ‑ term cardiotoxicity in germ cell cancer survivors after platinum ‑ based chemotherapy : cardiac MR shows impaired systolic function and tissue alterations. European Radiology, 4102–4112. https://doi.org/10.1007/s00330-023-10420-w
1306Pantos, C. I., Grigoriou, K. P., Trikas, A. G., Alexopoulos, N. A., & Mourouzis, I. S. (2024). Translating thyroid hormone into clinical practice: lessons learned from the post-hoc analysis on data available from the ThyRepair study. Frontiers in Endocrinology, 15(July), 1–7. https://doi.org/10.3389/fendo.2024.1405251
1305Keilholz, A. N., Pathak, I., Smith, C. L., Osman, K. L., Smith, L., Oti, G., Golzy, M., Ma, L., Lever, T. E., & Nichols, N. L. (2024). Tongue exercise ameliorates structural and functional upper airway deficits in a rodent model of hypoglossal motor neuron loss. Frontiers in Neurology, 15(September), 1–12. https://doi.org/10.3389/fneur.2024.1441529
1304Myklebust, L., Monopoli, G., Balaban, G., Aabel, E. W., Ribe, M., Castrini, A. I., Hasselberg, N. E., Bugge, C., Five, C., Haugaa, K., Maleckar, M. M., & Arevalo, H. (2024). Stretch of the papillary insertion triggers reentrant arrhythmia: an in silico patient study. Frontiers in Physiology, 15(August), 1–20. https://doi.org/10.3389/fphys.2024.1447938
1303Kjeld, T., Isbrand, A. B., Arendrup, H. C., Højberg, J., Bejder, J., Krag, T. O., Vissing, J., Tolbod, L. P., Harms, J. H., Gormsen, L. C., Fuglø, D., & Hansen, E. G. (2024). Pulmonary vascular adaptations to hypoxia in elite breath-hold divers. Frontiers in Physiology, 15(July), 1–10. https://doi.org/10.3389/fphys.2024.1296537
1302Wickzén, O., Sundqvist, M., & Scorza, R. (2024). Comparison of Cardiac Magnetic Resonance and Advanced Echocardiography in Evaluation of Patients with High Burden of Premature Ventricular Contractions and Normal Standard Echocardiography. Hearts, 5(3), 365–374. https://doi.org/10.3390/hearts5030026
1301Liu, J., Bilgi, C., Bregasi, A., Mitchell, G. F., & Pahlevan, N. M. (2024). Noninvasive Left Ventricle Pressure-Volume Loop Determination Method with Cardiac Magnetic Resonance Imaging and Carotid Tonometry Using a Physics-Informed Approach. IEEE Journal of Biomedical and Health Informatics, 28(9), 5487–5496. https://doi.org/10.1109/JBHI.2024.3412671
1300Ghoul, A., Pan, J., Lingg, A., Kubler, J., Krumm, P., Hammernik, K., Rueckert, D., Gatidis, S., & Kustner, T. (2024). Attention-aware non-rigid image registration for accelerated MR imaging. IEEE Transactions on Medical Imaging, XX(Xx), 1–14. https://doi.org/10.1109/TMI.2024.3385024
1299Yi, L., Quan, W., Zhang, M., Zhu, T., Zhu, Z., Du, R., Jia, Y., Li, B., Zhang, R., & Yan, X. (2024). Potential of 68Ga-FAPI-04 PET/MR to predict worsening renal function after acute ST-elevation myocardial infarction. International Journal of Cardiology, 414(August), 132425. https://doi.org/10.1016/j.ijcard.2024.132425
1298Chuah, S. H., Tan, L. K., Md Sari, N. A., Chan, B. T., Hasikin, K., Lim, E., Ung, N. M., Abdul Aziz, Y. F., Jayabalan, J., & Liew, Y. M. (2024). Remodeling in Aortic Stenosis With Reduced and Preserved Ejection Fraction: Insight on Motion Abnormality Via 3D + Time Personalized LV Modeling in Cardiac MRI. Journal of Magnetic Resonance Imaging, 59(4), 1–14. https://doi.org/10.1002/jmri.28915
1297Enriquez-Marulanda, A., Ramirez-Velandia, F., Young, M., Stout, J. N., See, A. P., Ogilvy, C. S., & Taussky, P. (2024). The evolution and future directions of bypass surgery. Journal of Neurosurgery, 1–12. https://doi.org/10.3171/2024.4.jns2419
1296Schweins, M., Gäbel, R., Raitza, M., Vasudevan, P., Lemcke, H., Joksch, M., Schildt, A., Kurth, J., Lindner, T., Meinel, F. G., Öner, A., Ince, H., Vollmar, B., Krause, B. J., David, R., & Lang, C. I. (2024). Multi-modal assessment of a cardiac stem cell therapy reveals distinct modulation of regional scar properties. Journal of Translational Medicine, 22(1), 1–9. https://doi.org/10.1186/s12967-024-04986-2
1295Algoet, M., Pusovnik, M., Gillijns, H., Mestdagh, S., Billiau, J., Artoos, I., Gsell, W., Janssens, S. P., Himmelreich, U., & Oosterlinck, W. (2024). Remotely Triggered LAD Occlusion Using a Balloon Catheter in Spontaneously Breathing Mice. Journal of Visualized Experiments, 2024(205). https://doi.org/10.3791/66386
1294Xanthis, C. G., Jablonowski, R., Bidhult-Johansson, S., Nordlund, D., Haidich, A. B., Lala, T., Arheden, H., & Aletras, A. H. (2024). Unravelling the mechanisms of CE-SSFP in imaging myocardium at risk: The effect of relaxation times on myocardial contrast. Magnetic Resonance Imaging, 111(November 2023), 90–102. https://doi.org/10.1016/j.mri.2024.03.043
1293Xiang, J., Lamy, J., Qiu, M., Galiana, G., & Peters, D. C. (2024). K-t PCA accelerated in-plane balanced steady-state free precession phase-contrast (PC-SSFP) for all-in-one diastolic function evaluation. Magnetic Resonance in Medicine, 91(3), 911–925. https://doi.org/10.1002/mrm.29897
1292Nathan, A., Shadman, S., & Morgan, E. E. (2024). Timing of Regadenoson-induced Peak Hyperemia and the Effects on Coronary Flow Reserve. MedRxiv. https://doi.org/10.1101/2024.01.15.23300449
1291Jenkins, B. M., Dixon, L. D., Kokesh, K. J., Zingariello, C. D., Vandenborne, K., Walter, G. A., & Barnard, A. M. (2024). Skeletal muscle symptoms and quantitative MRI in females with dystrophinopathy. Muscle and Nerve, August, 988–999. https://doi.org/10.1002/mus.28235
1290Selvakumar, D., Clayton, Z. E., Prowse, A., Dingwall, S., Kim, S. K., Reyes, L., George, J., Shah, H., Chen, S., Leung, H. H. L., Hume, R. D., Tjahjadi, L., Igoor, S., Skelton, R. J. P., Hing, A., Paterson, H., Foster, S. L., Pearson, L., Wilkie, E., … Chong, J. J. H. (2024). Cellular heterogeneity of pluripotent stem cell-derived cardiomyocyte grafts is mechanistically linked to treatable arrhythmias. Nature Cardiovascular Research, 3(2), 145–165. https://doi.org/10.1038/s44161-023-00419-3
1289Gomes, B., Singh, A., O’Sullivan, J. W., Schnurr, T. M., Goddard, P. C., Loong, S., Amar, D., Hughes, J. W., Kostur, M., Haddad, F., Salerno, M., Foo, R., Montgomery, S. B., Parikh, V. N., Meder, B., & Ashley, E. A. (2024). Genetic architecture of cardiac dynamic flow volumes. Nature Genetics, 56(2), 245–257. https://doi.org/10.1038/s41588-023-01587-5
1288Johansson, M., Hedström, E., Steding-Ehrenborg, K., Bhat, M., Liuba, P., Arheden, H., & Sjöberg, P. (2024). Atrioventricular Area Difference Aids Diastolic Filling in Patients with Repaired Tetralogy of Fallot. Pediatric Cardiology, 0123456789. https://doi.org/10.1007/s00246-024-03508-7
1287Sjöberg, P., Clausen, H., Arheden, H., Steding-Ehrenborg, K., Liuba, P., & Hedström, E. (2024). Left Ventricular Diastolic Function in Children with Atrial Septal Defects Improves After Closure by Means of Increased Hydraulic Force. Pediatric Cardiology, 0123456789. https://doi.org/10.1007/s00246-024-03534-5
1286Andersen, S., Laursen, P. H., Wood, G. J., Lyhne, M. D., Madsen, T. L., Hansen, E. S. S., Johansen, P., Kim, W. Y., & Andersen, M. J. (2024). Comparison of admittance and cardiac magnetic resonance generated pressure-volume loops in a porcine model. Physiological Measurement, 45(5). https://doi.org/10.1088/1361-6579/ad4a03
1285Yan, C., Liu, Y., Wang, C., Fan, W., & Zhu, Y. (2024). Accelerated cardiac cine magnetic resonance imaging using deep low-rank plus sparse network: validation in patients. Quantitative Imaging in Medicine and Surgery, 14(7), 5131–5143. https://doi.org/10.21037/qims-24-17
1284Torbati, S., Daneshmehr, A., Pouraliakbar, H., Asgharian, M., Tafti, S. H. A., Shum-Tim, D., & Heidari, A. (2024). Personalized Evaluation of the Passive Myocardium in Ischemic Cardiomyopathy via Computational Modeling Using Bayesian Optimization. Research Square. https://app.dimensions.ai/details/publication/pub.1171024191%0Ahttps://www.researchsquare.com/article/rs-4295162/latest.pdf
1283Venkateshvaran, A., Bohlin, J., Kjellström, B., Bergström, E., Nelsson, A., Werther Evaldsson, A., Rådegran, G., Arheden, H., & Ostenfeld, E. (2024). Left ventricular dysfunction in pulmonary arterial hypertension is attributed to underfilling rather than intrinsic myocardial disease: a CMR 2D phase contrast study. Scientific Reports, 14(1), 1–8. https://doi.org/10.1038/s41598-024-68254-5
1282Andresen, K., Klæboe, L. G., Lie, Ø. H., Broch, K., Kvaslerud, A. B., Bosse, G., Hopp, E., de Lange, C., Haugaa, K. H., & Edvardsen, T. (2024). No adverse association between exercise exposure and diffuse myocardial fibrosis in male endurance athletes. Scientific Reports, 14(1), 1–11. https://doi.org/10.1038/s41598-024-57233-5
1281El Sayed, R., Lucas, C. J., Cebull, H. L., Nahab, F. B., Haussen, D. C., Allen, J. W., & Oshinski, J. N. (2024). Subjects with carotid webs demonstrate pro-thrombotic hemodynamics compared to subjects with carotid atherosclerosis. Scientific Reports, 14(1), 1–11. https://doi.org/10.1038/s41598-024-60666-7
1280Zhu, J., Wang, Q., Zheng, Z., Ma, L., Guo, J., Shi, H., Ying, R., Gao, B., Chen, S., Yu, S., Yuan, B., Peng, X., & Ge, J. (2024). MiR-181a protects the heart against myocardial infarction by regulating mitochondrial fission via targeting programmed cell death protein 4. Scientific Reports, 14(1), 1–14. https://doi.org/10.1038/s41598-024-57206-8
1279Wifstad, S. V., Kildahl, H. A., Holte, E., Berg, E. A. R., Grenne, B., Salvesen, Ø., Dalen, H., & Lovstakken, L. (2024). EasyPISA: Automatic Integrated PISA Measurements of Mitral Regurgitation From 2-D Color-Doppler Using Deep Learning. Ultrasound in Medicine and Biology, 50(June). https://doi.org/10.1016/j.ultrasmedbio.2024.06.008
1278Sen-martín, L., Fernández-trasancos, Á., López-Unzu, M. Á., Pathak, D., Ferrarini, A., Labrador-Cantarero, V., Sánchez-Ortiz, D., Pricolo, M. R., Vicente, N., Velázquez-Carreras, D., Sánchez-García, L., Nicolás-Ávila, J. Á., Sánchez-Díaz, M., Schlossarek, S., Cussó, L., Desco, M., Villalba-Orero, M., Guzmán-Martínez, G., Calvo, E., … Alegre-Cebollada, J. (2024). Broad therapeutic benefit of myosin inhibition in hypertrophic cardiomyopathy. BioRxiv, 2024.03.22.584986. https://www.biorxiv.org/content/10.1101/2024.03.22.584986v1%0Ahttps://www.biorxiv.org/content/10.1101/2024.03.22.584986v1.abstract
1277Yokokawa, T., Nishiura, K., Katahira, M., Sato, Y., Miura, S., Sato, A., Shimizu, T., Misaka, T., Sato, T., Kaneshiro, T., Oikawa, M., Yoshihisa, A., Sugimoto, K., Fukushima, K., Nakazato, K., & Takeishi, Y. (2024). Collagen triple helix repeat-containing protein 1 is a novel biomarker of right ventricular involvement in pulmonary hypertension. Canadian Journal of Cardiology, 1–8. https://doi.org/10.1016/j.cjca.2024.04.016
1276Arvidsson, P. M., Berg, J., Carlsson, M., & Arheden, H. (2024). Noninvasive Pressure-Volume Loops Predict Major Adverse Cardiac Events in Heart Failure With Reduced Ejection Fraction. JACC: Advances, 3(6). https://doi.org/10.1016/j.jacadv.2024.100946
1275Lindholm, A., Kjellström, B., Arheden, H., & Ostenfeld, E. (2024). Right ventricular dyssynchrony predicts outcome in pulmonary arterial hypertension when assessed in multiple CMR viewsRunning title: Dyssynchrony predicts outcome in PAH with CMR. Journal of Cardiovascular Magnetic Resonance, 101103. https://doi.org/10.1016/j.jocmr.2024.101103
1274Steding-Ehrenborg, K., Nelsson, A., Hedström, E., Engblom, H., Ingvarsson, A., Nilsson, J., Braun, O., & Arheden, H. (2024). Diastolic Filling in Patients After Heart Transplantation Is Impaired Due to an Altered Geometrical Relationship Between the Left Atrium and Ventricle. Journal of the American Heart Association, 13(11), 1–12. https://doi.org/10.1161/JAHA.123.033672
1273Kočková, R., Vojáček, J., Bedáňová, H., Fila, P., Skalský, I., Žáková, D., Klán, M., Míková, B., Mědílek, K., Tuna, M., Fialová, M., Dvořáková, R., Hlubocká, Z., Panovský, R., Slabý, K., Kelen de Oliveira, E., Casselman, F., & Pěnička, M. (2024). Rationale and design of the ELEANOR trial early aortic valve surgery versus watchful waiting strategy in severe asymptomatic aortic regurgitation, ACRONYM: ELEANOR. Heliyon, 10(8). https://doi.org/10.1016/j.heliyon.2024.e29470
1272Zoladz, J. A., Grandys, M., Smeda, M., Kij, A., Kurpinska, A., Kwiatkowski, G., Karasinski, J., Hendgen-Cotta, U., Chlopicki, S., & Majerczak, J. (2024). Myoglobin deficiency impairs maximal oxygen uptake and exercise performance: a lesson from Mb−/− mice. Journal of Physiology, 602(5), 855–873. https://doi.org/10.1113/JP285067
1271Christierson, L., Frieberg, P., Lala, T., Töger, J., Liuba, P., Revstedt, J., Isaksson, H., & Hakacova, N. (2024). Multi-modal Phantom Experiments, mimicking Flow through the Mitral Heart Valve. Submitted to Cardiovascular Engineering and Technology. https://doi.org/10.1101/2024.02.20.581131
1270Nordlund, D., Lav, T., Jablonowski, R., Khoshnood, A., Ekelund, U., Atar, D., Erlinge, D., Engblom, H., & Arheden, H. (2024). Contractility, ventriculoarterial coupling, and stroke work after acute myocardial infarction using CMR-derived pressure-volume loop data. Clinical Cardiology, 47(1), 1–9. https://doi.org/10.1002/clc.24216
1269Real, C., Párraga, R., González-Calvo, E., Gutiérrez-Ortiz, E., Díaz-Muñoz, R., Sánchez-González, J., Beneito-Durá, M., Martínez-Gómez, J., Pizarro, G., García-Lunar, I., & Fernández-Jiménez, R. (2024). Adolescent Reference Values for MR-Derived Biventricular Strain Obtained Using Feature-Tracking and Myocardial Tagging. Journal of Magnetic Resonance Imaging, 1–12. https://doi.org/10.1002/jmri.29334
1268Jankowska, H., Dorniak, K., Dudziak, M., Glińska, A., Sienkiewicz, K., Kulawiak-Gałąska, D., Fijałkowska, J., Dubaniewicz, A., & Hellmann, M. (2024). The usefulness of speckle tracking echocardiography for the prediction of cardiac involvement in patients with biopsy-proven sarcoidosis. Echocardiography, 41(3), 1–8. https://doi.org/10.1111/echo.15777
1267Seemann, F., Heiberg, E., Bruce, C. G., Khan, J. M., Potersnak, A., Ramasawmy, R., Carlsson, M., Arheden, H., Lederman, R. J., & Campbell-washburn, A. E. (2024). Non-invasive pressure–volume loops using the elastance model and CMR: a porcine validation at transient pre-loads. European Heart Journal – Imaging Methods and Practice, 2(1), 1–11. https://doi.org/10.1093/ehjimp/qyae016
1266Martínez-Fernández, J., Almengló, C., Babarro, B., Iglesias-Rey, R., García-Caballero, T., Fernández, Á. L., Souto-Bayarri, M., González-Juanatey, J. R., & Álvarez, E. (2024). Edoxaban treatment in a post-infarction experimental model. European Journal of Pharmacology, 962(November 2023). https://doi.org/10.1016/j.ejphar.2023.176216
1265Dargahpour Barough, M., Tavares de Sousa, M., Hergert, B., Fischer, R., Huber, L., Seliger, J. M., Kaul, M. G., Adam, G., Herrmann, J., Bannas, P., Schoennagel, B. P., Barough, M. D., Sousa, M. T. De, Hergert, B., Fischer, R., Huber, L., Seliger, J. M., Kaul, M. G., Adam, G., … Schoennagel, B. P. (2024). Myocardial strain assessment in the human fetus by cardiac MRI using Doppler ultrasound gating and feature tracking. European Radiology, 4–11. https://doi.org/10.1007/s00330-023-10551-0
1264Pankewitz, L. R., Hustad, K. G., Govil, S., Perry, J. C., Hegde, S., Tang, R., Omens, J. H., Young, A. A., McCulloch, A. D., & Arevalo, H. J. (2024). A universal biventricular coordinate system incorporating valve annuli: Validation in congenital heart disease. Medical Image Analysis, 93(January), 103091. https://doi.org/10.1016/j.media.2024.103091
1263Lamy, J., Gonzales, R. A., Xiang, J., Seemann, F., Huber, S., Steele, J., Wieben, O., Heiberg, E., & Peters, D. C. (2024). Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast. Magnetic Resonance in Medicine, 92(April), 1838–1850. https://doi.org/10.1002/mrm.30163
1262Gitomer, B. Y., Wang, W., George, D., Coleman, E., Nowak, K. L., Struemph, T., Cadnapaphornchai, M. A., Patel, N. U., Jovanovich, A., Klawitter, J., Farmer, B., Ostrow, A., You, Z., Chonchol, M., Mountain, R., Kidney, P., Mountain, R., St, P., & St, N. H. (2024). Statin therapy in patients with early-stage autosomal dominant polycystic kidney disease: Design and baseline characteristics. Contemporary Clinical Trials, 137(September 2023), 107423. https://doi.org/10.1016/j.cct.2023.107423
1261Katahira, M., Fukushima, K., Kiko, T., Yamakuni, R., Endo, K., Yoshihisa, A., Ishii, S., Ito, H., & Takeishi, Y. (2024). Prognostic significance of left atrial strain combined with left ventricular strain using cardiac magnetic resonance feature tracking in patients with heart failure with preserved ejection fraction. Heart and Vessels, 39(0123456789), 404–411. https://doi.org/10.1007/s00380-023-02351-9
1260Krug, P., Geets, X., Berlière, M., Duhoux, F., Beauloye, C., Pasquet, A., Vancraeynest, D., Pouleur, A. C., & Gerber, B. L. (2024). Cardiac structure, function, and coronary anatomy 10 years after isolated contemporary adjuvant radiotherapy in breast cancer patients with low cardiovascular baseline risk. European Heart Journal Cardiovascular Imaging, 25(5), 645–656. https://doi.org/10.1093/ehjci/jead338
1259Paxton, N. C. (2023). Navigating the intersection of 3D printing, software regulation and quality control for point-of-care manufacturing of personalized anatomical models. 3D Printing in Medicine, 9(1), 9. https://doi.org/10.1186/s41205-023-00175-x
1258Tran-Nguyen, N., Yan, A. T., Fremes, S., Triverio, P., & Jimenez-Juan, L. (2023). Abnormal Wall Shear Stress Area is Correlated to Coronary Artery Bypass Graft Remodeling 1 Year After Surgery. Annals of Biomedical Engineering. https://doi.org/10.1007/s10439-023-03167-4
1257Zou, Q., Priya, S., Nagpal, P., & Jacob, M. (2023). Joint Cardiac T1 Mapping and Cardiac Cine Using Manifold Modeling. Bioengineering, 10(3), 345. https://doi.org/10.3390/bioengineering10030345
1256Meléndez, G. C., Kavanagh, K., Gharraee, N., Lacy, J. L., Goslen, K. H., Block, M., Whitfield, J., Widiapradja, A., & Levick, S. P. (2023). Replacement substance P reduces cardiac fibrosis in monkeys with type 2 diabetes. Biomedicine and Pharmacotherapy, 160(February). https://doi.org/10.1016/j.biopha.2023.114365
1255Cunnane, C. V., Houston, J. G., Moran, D. T., Broderick, S. P., Ross, R. A., & Walsh, M. T. (2023). Spiral Laminar Flow is Associated with a Reduction in Disturbed Shear in Patient-Specific Models of an Arteriovenous Fistula. Cardiovascular Engineering and Technology, 14(1), 152–165. https://doi.org/10.1007/s13239-022-00644-0
1254Berg, J., Jablonowski, R., Nordlund, D., Ryd, D., Heiberg, E., Carlsson, M., & Arheden, H. (2023). Mild hypothermia attenuates ischaemia/reperfusion injury: insights from serial non-invasive pressure–volume loops. Cardiovascular Research, 119(12), 1–14. https://doi.org/10.1093/cvr/cvad028
1253Rohrbeck, M., Hoerr, V., Piccini, I., Greber, B., Schulte, J. S., Hübner, S.-S., Jeworutzki, E., Theiss, C., Matschke, V., Stypmann, J., Unger, A., Ho, H. T., Disse, P., Strutz-Seebohm, N., Faber, C., Müller, F. U., Ludwig, S., Rescher, U., Linke, W. A., … Seebohm, G. (2023). Pathophysiological Mechanisms of Cardiac Dysfunction in Transgenic Mice with Viral Myocarditis. Cells, 12(4), 550. https://doi.org/10.3390/cells12040550
1252Ohlsson, L., Moreira, A. D. L., Bäck, S., Lantz, J., Carlhäll, C., Persson, A., Hedman, K., Chew, M. S., Dahlström, N., & Ebbers, T. (2023). Enhancing students’ understanding of cardiac physiology by using <scp>4D</scp> visualization. Clinical Anatomy, 36(3), 542–549. https://doi.org/10.1002/ca.24009
1251Ohlsson, L., Moreira, A. D. L., Bäck, S., Lantz, J., Carlhäll, C. J., Persson, A., Hedman, K., Chew, M. S., Dahlström, N., & Ebbers, T. (2023). Enhancing students’ understanding of cardiac physiology by using 4D visualization. Clinical Anatomy, 36(3), 542–549. https://doi.org/10.1002/ca.24009
1250Fanni, B. M., Gasparotti, E., Vignali, E., Capelli, C., Positano, V., & Celi, S. (2023). An integrated in-vitro and in-silico workflow to study the pulmonary bifurcation hemodynamics. Computers and Fluids, 260(October 2021), 105912. https://doi.org/10.1016/j.compfluid.2023.105912
1249Rukundo, O. (2023). Effects of Image Size on Deep Learning. Electronics, 12(4), 985. https://doi.org/10.3390/electronics12040985
1248Ekenbäck, C., Nickander, J., Jokhaji, F., Tornvall, P., Engblom, H., Spaak, J., & Persson, J. (2023). Coronary microvascular dysfunction in Takotsubo syndrome and associations with left ventricular function. ESC Heart Failure, 10(4), 2395–2405. https://doi.org/10.1002/ehf2.14394
1247Edin, C., Ekstedt, M., Karlsson, M., Wegmann, B., Ebbers, T., Swahn, E., Ostgren, C. J., Lundberg, P., & Carlhall, C. J. (2023). Liver fibrosis is associated with left ventricular remodeling: insights into the liver-heart axis. European Heart Journal, 44(Supplement_2), 1–11. https://doi.org/10.1093/eurheartj/ehad655.191
1246Arvidsson, P. M., Green, P. G., Watson, W. D., Shanmuganathan, M., Heiberg, E., De Maria, G. L., Arheden, H., Herring, N., & Rider, O. J. (2023). Non-invasive left ventricular pressure-volume loops from cardiovascular magnetic resonance imaging and brachial blood pressure: validation using pressure catheter measurements. European Heart Journal – Imaging Methods and Practice, 1(2), 1–10. https://doi.org/10.1093/ehjimp/qyad035
1245Zhang, M., Quan, W., Zhu, T., Feng, S., Huang, X., Meng, H., Du, R., Zhu, Z., Qu, X., Li, P., Cui, Y., Shi, K., Yan, X., Zhang, R., & Li, B. (2023). [68Ga]Ga-DOTA-FAPI-04 PET/MR in patients with acute myocardial infarction: potential role of predicting left ventricular remodeling. European Journal of Nuclear Medicine and Molecular Imaging, 50(3), 839–848. https://doi.org/10.1007/s00259-022-06015-0
1244Chen, H., Brunner, F. J., Özden, C., Wenzel, U. O., Neumann, J. T., Erley, J., Saering, D., Muellerleile, K., Maas, K.-J. J., Schoennagel, B. P., Cavus, E., Schneider, J. N., Blankenberg, S., Koops, A., Adam, G., & Tahir, E. (2023). Left ventricular myocardial strain responding to chronic pressure overload in patients with resistant hypertension evaluated by feature-tracking CMR. European Radiology, 0123456789. https://doi.org/10.1007/s00330-023-09595-z
1243Bessen, M. A., Gayen, C. D., Quarrington, R. D., Walls, A. C., Leonard, A. V., Kurtcuoglu, V., & Jones, C. F. (2023). Characterising spinal cerebrospinal fluid flow in the pig with phase-contrast magnetic resonance imaging. Fluids and Barriers of the CNS, 20(1), 5. https://doi.org/10.1186/s12987-022-00401-4
1242Axelsen, J. S., Nielsen-Kudsk, A. H., Schwab, J., Ringgaard, S., Nielsen-Kudsk, J. E., de Man, F. S., Andersen, A., & Andersen, S. (2023). Effects of empagliflozin on right ventricular adaptation to pressure overload. Frontiers in Cardiovascular Medicine, 10(December), 1–11. https://doi.org/10.3389/fcvm.2023.1302265
1241Chen, W., Hou, C. H., Chen, Y. L., Shen, H. H., Lin, C. H., Wu, C. Y., Lin, M. H., Liao, C. C., Huang, J. J., Yang, C. Y., Li, Y. C., & Yip, H. K. (2023). Safety and efficacy of intracoronary artery administration of human bone marrow-derived mesenchymal stem cells in STEMI of Lee-Sung pigs—A preclinical study for supporting the feasibility of the OmniMSC-AMI phase I clinical trial. Frontiers in Cardiovascular Medicine, 10(March), 1–15. https://doi.org/10.3389/fcvm.2023.1153428
1240Riva, A., Eriksson, J., Viola, F., Sturla, F., Votta, E., Ebbers, T., Carlhäll, C.-J. J. G., & Dyverfeldt, P. (2023). Impact of dobutamine stress on diastolic energetic efficiency of healthy left ventricle: an in vivo kinetic energy analysis. Frontiers in Cardiovascular Medicine, 10(March), 1–10. https://doi.org/10.3389/fcvm.2023.1103751
1239Fricke, K., Ryd, D., Weismann, C. G., Hanséus, K., Hedström, E., & Liuba, P. (2023). Fetal cardiac magnetic resonance imaging of the descending aorta in suspected left-sided cardiac obstructions. Frontiers in Cardiovascular Medicine, 10(December), 1–10. https://doi.org/10.3389/fcvm.2023.1285391
1238Sjöberg, P., Stephensen, S., Arheden, H., Heiberg, E., & Carlsson, M. (2023). Patients with volume-loaded right ventricle – quantification of left ventricular hemodynamic response to intervention measured by noninvasive pressure-volume loops. Frontiers in Physiology, 14(December), 1–9. https://doi.org/10.3389/fphys.2023.1291119
1237Kerstens, T. P., van Everdingen, W. M., Habets, J., van Dijk, A. P. J., Helbing, W. A., Thijssen, D. H. J., & Udink ten Cate, F. E. A. (2023). Left ventricular deformation and myocardial fibrosis in pediatric patients with Duchenne muscular dystrophy. International Journal of Cardiology, 388(July), 131162. https://doi.org/10.1016/j.ijcard.2023.131162
1236Johansson, M., Binka, E., Barnes, B., Gaur, L., Hedström, E., Kutty, S., & Carlsson, M. (2023). Right ventricular longitudinal function is linked to left ventricular filling pressure in patients with repaired tetralogy of fallot. International Journal of Cardiovascular Imaging, 39(2), 401–409. https://doi.org/10.1007/s10554-022-02728-3
1235Dorninger, F., Kiss, A., Rothauer, P., Stiglbauer-Tscholakoff, A., Kummer, S., Fallatah, W., Perera-Gonzalez, M., Hamza, O., König, T., Bober, M. B., Cavallé-Garrido, T., Braverman, N. E., Forss-Petter, S., Pifl, C., Bauer, J., Bittner, R. E., Helbich, T. H., Podesser, B. K., Todt, H., & Berger, J. (2023). Overlapping and Distinct Features of Cardiac Pathology in Inherited Human and Murine Ether Lipid Deficiency. International Journal of Molecular Sciences, 24(3). https://doi.org/10.3390/ijms24031884
1234Yoshida, K., Axelsen, J. B., Saku, K., Andersen, A., de Man, F. S., Sunagawa, K., Vonk Noordegraaf, A., & Bogaard, H. J. (2023). How to incorporate tricuspid regurgitation in right ventricular-pulmonary arterial coupling. Journal of Applied Physiology (Bethesda, Md. : 1985), 135(1), 53–59. https://doi.org/10.1152/japplphysiol.00081.2023
1233Cebull, H. L., Aremu, O. O., Kulkarni, R. S., Zhang, S. X., Samuels, P., Jermy, S., Ntusi, N. A. B., & Goergen, C. J. (2023). Simulating subject-specific aortic hemodynamic effects of valvular lesions in rheumatic heart disease. Journal of Biomechanical Engineering, 145(11), 1–11. https://doi.org/10.1115/1.4063000
1232Fanni, B. M., Antonuccio, M. N., Pizzuto, A., Berti, S., Santoro, G., & Celi, S. (2023). Uncertainty Quantification in the In Vivo Image-Based Estimation of Local Elastic Properties of Vascular Walls. Journal of Cardiovascular Development and Disease, 10(3), 109. https://doi.org/10.3390/jcdd10030109
1231Govil, S., Crabb, B. T., Deng, Y., Dal Toso, L., Puyol-Antón, E., Pushparajah, K., Hegde, S., Perry, J. C., Omens, J. H., Hsiao, A., Young, A. A., & McCulloch, A. D. (2023). A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot. Journal of Cardiovascular Magnetic Resonance, 25(1), 1–17. https://doi.org/10.1186/s12968-023-00924-1
1230Seemann, F., Bruce, C. G., Khan, J. M., Ramasawmy, R., Potersnak, A. G., Herzka, D. A., Kakareka, J. W., Jaimes, A. E., Schenke, W. H., O’Brien, K. J., Lederman, R. J., Campbell-Washburn, A. E., O’Brien, K. J., Lederman, R. J., Campbell-Washburn, A. E., O’Brien, K. J., Lederman, R. J., & Campbell-Washburn, A. E. (2023). Dynamic pressure–volume loop analysis by simultaneous real-time cardiovascular magnetic resonance and left heart catheterization. Journal of Cardiovascular Magnetic Resonance, 25(1), 1. https://doi.org/10.1186/s12968-023-00913-4
1229Pola, K., Roijer, A., Borgquist, R., Ostenfeld, E., Carlsson, M., Bakos, Z., Arheden, H., & Arvidsson, P. M. (2023). Hemodynamic forces from 4D flow magnetic resonance imaging predict left ventricular remodeling following cardiac resynchronization therapy. Journal of Cardiovascular Magnetic Resonance, 25(1), 1–11. https://doi.org/10.1186/s12968-023-00955-8
1228Thorn, S. L., Shuman, J. A., Stacy, M. R., Purcell, B. P., Doviak, H., Burdick, J. A., Spinale, F. G., & Sinusas, A. J. (2023). Matrix Metalloproteinase-Targeted SPECT/CT Imaging for Evaluation of Therapeutic Hydrogels for the Early Modulation of Post-Infarct Myocardial Remodeling. Journal of Cardiovascular Translational Research, 16(1), 155–165. https://doi.org/10.1007/s12265-022-10280-7
1227Chuah, S. H., Md Sari, N. A., Tan, L. K., Chiam, Y. K., Chan, B. T., Abdul Aziz, Y. F., Jeyabalan, J., Hasikin, K., & Liew, Y. M. (2023). Assessing Complex Left Ventricular Adaptations in Aortic Stenosis Using Personalized 3D + time Cardiac MRI Modeling. Journal of Cardiovascular Translational Research. https://doi.org/10.1007/s12265-023-10375-9
1226Raja, D. C., Samarawickrema, I., Srinivasan, J. R., Menon, S. K., Das, S. K., Jain, S., Tuan, L. Q., Desjardins, B., Marchlinski, F. E., Abhayaratna, W. P., Sanders, P., & Pathak, R. K. (2023). Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy. Journal of Interventional Cardiac Electrophysiology, 0123456789. https://doi.org/10.1007/s10840-023-01553-5
1225Grützediek, K., Fischer, R., Kurio, G., Böckelmann, L., Bleeke, M., Hagar, R. W., Tahir, E., Grosse, R., Weyhmiller, M., Adam, G., Bannas, P., & Schoennagel, B. P. (2023). Rapid MRI Assessment of Long-Axis Strain to Indicate Systolic Dysfunction in Patients With Sickle Cell Disease. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.28623
1224Elzoghby, M. M., Salama, M. M. A., Elsetiha, M. A., El_Ahwal, H. M., Romeih, S. A., Shaaban, M. N., & Elmozy, W. E. (2023). Territorial Post-Revascularization Remodeling of Chronic Coronary Syndromes: Cardiac Magnetic Resonance Feature Tracking Study. Journal of Magnetic Resonance Imaging, 1–10. https://doi.org/10.1002/jmri.29026
1223Hedeer, F., Akil, S., Oddstig, J., Hindorf, C., Arheden, H., Carlsson, M., & Engblom, H. (2023). Diagnostic accuracy for CZT gamma camera compared to conventional gamma camera technique with myocardial perfusion single-photon emission computed tomography: Assessment of myocardial infarction and function. Journal of Nuclear Cardiology, 1935–1946. https://doi.org/10.1007/s12350-022-03185-0
1222Fukushima, K., Endo, K., Yamakuni, R., Kiko, T., Sekino, H., Kikori, K., Ukon, N., Ishii, S., Yamaki, T., Ito, H., & Takeishi, Y. (2023). Simultaneous assessment of left ventricular mechanical dyssynchrony using integrated 13N-ammonia PETMR system: direct comparison of PET phase analysis and MR feature tracking. Journal of Nuclear Cardiology. https://doi.org/10.1007/s12350-023-03225-3
1221Sazonova, S. I., Ilyushenkova, J. N., Syrkina, A. G., Trusov, A. A., Mochula, O. V., Mishkina, A. I., & Ryabov, V. V. (2023). Potential utility of SPECT/CT with 99mTc-Tektrotyd for imaging of post-myocardial infarction inflammation. Journal of Nuclear Cardiology. https://doi.org/10.1007/s12350-023-03312-5
1220Kőrösi, D., Vorobcsuk, A., Fajtai, D., Tátrai, O., Bodor, E., Farkas, K., & Garamvölgyi, R. (2023). Adaptation of closed-chest infarction porcine model to adult Pannon minipigs. Journal of Pharmacological and Toxicological Methods, 123(July). https://doi.org/10.1016/j.vascn.2023.107469
1219Dimasi, C. G., Darby, J. R. T., Cho, S. K. S., Saini, B. S., Holman, S. L., Meakin, A. S., Wiese, M. D., Macgowan, C. K., Seed, M., & Morrison, J. L. (2023). Reduced in utero substrate supply decreases mitochondrial abundance and alters the expression of metabolic signalling molecules in the fetal sheep heart. Journal of Physiology, 0, 1–22. https://doi.org/10.1113/JP285572
1218Bonner, B. P., Yurista, S. R., Coll-Font, J., Chen, S., Eder, R. A., Foster, A. N., Nguyen, K. D., Caravan, P., Gale, E. M., Nguyen, C., Coll‐Font, J., Chen, S., Eder, R. A., Foster, A. N., Nguyen, K. D., Caravan, P., Gale, E. M., & Nguyen, C. (2023). Contrast-Enhanced Cardiac Magnetic Resonance Imaging With a Manganese-Based Alternative to Gadolinium for Tissue Characterization of Acute Myocardial Infarction. Journal of the American Heart Association, 12(8), e026923. https://doi.org/10.1161/JAHA.122.026923
1217Piek, M., Ryd, D., Töger, J., Testud, F., Hedström, E., & Aletras, A. H. (2023). Fetal 3D cardiovascular cine image acquisition using radial sampling and compressed sensing. Magnetic Resonance in Medicine, 89(2), 594–604. https://doi.org/10.1002/mrm.29467
1216Kim, D., Coll‐Font, J., Lobos, R. A., Stäb, D., Pang, J., Foster, A., Garrett, T., Bi, X., Speier, P., Haldar, J. P., & Nguyen, C. (2023). Single breath‐hold CINE imaging with combined simultaneous multislice and region‐optimized virtual coils. Magnetic Resonance in Medicine, February, 222–230. https://doi.org/10.1002/mrm.29620
1215Kim, D., Coll-Font, J., Lobos, R. A., Stäb, D., Pang, J., Foster, A., Garrett, T., Bi, X., Speier, P., Haldar, J. P., & Nguyen, C. (2023). Single breath-hold CINE imaging with combined simultaneous multislice and region-optimized virtual coils. Magnetic Resonance in Medicine, 90(1), 222–230. https://doi.org/10.1002/mrm.29620
1214Matschke, J., Franke, A., Franke, O., Bräuer, C., & Leonhardt, H. (2023). Methodology: workflow for virtual reposition of mandibular condyle fractures. Maxillofacial Plastic and Reconstructive Surgery, 45(1). https://doi.org/10.1186/s40902-023-00373-x
1213Bradford, W. H., Zhang, J., Gutierrez-Lara, E. J., Liang, Y., Do, A., Wang, T. M., Nguyen, L., Mataraarachchi, N., Wang, J., Gu, Y., McCulloch, A., Peterson, K. L., & Sheikh, F. (2023). Plakophilin 2 gene therapy prevents and rescues arrhythmogenic right ventricular cardiomyopathy in a mouse model harboring patient genetics. Nature Cardiovascular Research, 2(12), 1246–1261. https://doi.org/10.1038/s44161-023-00370-3
1212Yurista, S. R., Chen, S., Eder, R. A., Garrett, T., Butsch, W. S., Aminian, A., Tang, W. H. W. W., Farrar, C. T., Gee, D., Abel, E. D., Das, S., & Nguyen, C. T. (2023). Mapping the Unseen: In Vivo CEST-MRI of Creatine Reveals Improved Cardiac Energetics in Subjects with Obesity Following Bariatric Surgery. Obesity Surgery. https://doi.org/10.1007/s11695-023-06589-0
1211Östenson, B., Ostenfeld, E., Edlund, J., Heiberg, E., Arheden, H., & Steding-Ehrenborg, K. (2023). Endurance-trained subjects and sedentary controls increase ventricular contractility and efficiency during exercise: Feasibility of hemodynamics assessed by non-invasive pressure-volume loops. PloS One, 18(5), e0285592. https://doi.org/10.1371/journal.pone.0285592
1210Eden, M. J., Matz, J., Garg, P., Gonzalez, M. P., McElderry, K., Wang, S., Gollner, M. J., Oakes, J. M., & Bellini, C. (2023). Prolonged smoldering Douglas fir smoke inhalation augments respiratory resistances, stiffens the aorta, and curbs ejection fraction in hypercholesterolemic mice. Science of the Total Environment, 861(June 2022), 160609. https://doi.org/10.1016/j.scitotenv.2022.160609
1209Åkesson, J., Ostenfeld, E., Carlsson, M., Arheden, H., & Heiberg, E. (2023). Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis. Scientific Reports, 13(1), 1–10. https://doi.org/10.1038/s41598-023-28348-y
1208Nickander, J., Steffen Johansson, R., Lodin, K., Wahrby, A., Loewenstein, D., Bruchfeld, J., Runold, M., Xue, H., Kellman, P., & Engblom, H. (2023). Stress native T1 and native T2 mapping compared to myocardial perfusion reserve in long-term follow-up of severe Covid-19. Scientific Reports, 13(1), 1–9. https://doi.org/10.1038/s41598-023-30989-y
1207Frieberg, P., Sjöberg, P., Hedström, E., Carlsson, M., & Liuba, P. (2023). In vivo hepatic flow distribution by computational fluid dynamics can predict pulmonary flow distribution in patients with Fontan circulation. Scientific Reports, 13(1), 1–8. https://doi.org/10.1038/s41598-023-45396-6
1206Govil, S., Mauger, C., Hegde, S., Occleshaw, C. J., Yu, X., Perry, J. C., Young, A. A., Omens, J. H., & McCulloch, A. D. (2023). Biventricular shape modes discriminate pulmonary valve replacement in tetralogy of Fallot better than imaging indices. Scientific Reports, 13(1), 1–11. https://doi.org/10.1038/s41598-023-28358-w
1205Nickander, J., Cole, B., Nordin, S., Vijapurapu, R., Steeds, R. P., Moon, J. C., Kellman, P., Ugander, M., & Kozor, R. (2023). Increased cardiac involvement in Fabry disease using blood-corrected native T1 mapping. Scientific Reports, 13(1), 4420. https://doi.org/10.1038/s41598-023-31211-9
1204Lundin, M., Heiberg, E., Nordlund, D., Gyllenhammar, T., Steding-Ehrenborg, K., Engblom, H., Carlsson, M., Atar, D., van der Pals, J., Erlinge, D., Borgquist, R., Khoshnood, A., Ekelund, U., Nickander, J., Themudo, R., Nordin, S., Kozor, R., Bhuva, A. N., Moon, J. C., … Ugander, M. (2023). Prognostic utility and characterization of left ventricular hypertrophy using global thickness. Scientific Reports, 13(1), 1–15. https://doi.org/10.1038/s41598-023-48173-7
1203Hedström, E., Piek, M., Bidhult-Johansson, S., Ryd, D., Testud, F., Töger, J., & Aletras, A. H. (2023). Factors affecting performance of fetal blood T2 measurements for noninvasive estimation of oxygen saturation. Magnetic Resonance in Medicine, 90(6), 2472–2485. https://doi.org/10.1002/mrm.29821
1202Liefke, J., Sepúlveda-Martinez, A., Shakya, S., Ehrenborg, K. S., Arheden, H., Morsing, E., Ley, D., Heiberg, E., & Hedström, E. (2023). Early-Onset Fetal Growth Restriction Increases Left Ventricular Sphericity in Adolescents Born Very Preterm. Pediatric Cardiology, 45(8), 1729–1740. https://doi.org/10.1007/s00246-023-03265-z
1201Balaban, G., Westrum Aabel, E., Ribe, M., Isotta Castrini, A., Haugaa, K., M. Maleckar”, M., Balaban, “Gabriel, Westrum Aabel, E., Ribe, M., Isotta Castrini, A., Haugaa, K., & M. Maleckar”, M. (2022). Towards An Automated Pipeline to Create Patient Specific 3D LV Geometry Models of Patients with Mitral Annular Disjunction. 2022 Computing in Cardiology Conference (CinC), 49, 3–6. https://doi.org/10.22489/cinc.2022.022
1200Ramachandra, A. B., Wang, H., Wnorowski, A., Schwarz, E. L., Pickering, J., Heiler, J. C., Lucian, H. J., Hironaka, C. E., Tran, N. A., Liu, Y., Khan, M. O., Obafemi, O., Tada, Y., Kahn, A. M., Sayed, N., Wu, J. C., Humphrey, J. D., Boyd, J. H., & Marsden, A. L. (2022). Biodegradable external wrapping promotes favorable adaptation in an ovine vein graft model. Acta Biomaterialia, 151, 414–425. https://doi.org/10.1016/j.actbio.2022.08.029
1199Liefke, J., Steding-Ehrenborg, K., Asgeirsson, D., Nordlund, D., Kopic, S., Morsing, E., & Hedström, E. (2022). Non-contrast-enhanced magnetic resonance imaging can be used to assess renal cortical and medullary volumes—A validation study. Acta Radiologica Open, 11(1), 205846012110722. https://doi.org/10.1177/20584601211072281
1198Edlund, J., Arvidsson, P. M., Nelsson, A., Smith, J. G., Magnusson, M., Heiberg, E., Steding-Ehrenborg, K., & Arheden, H. (2022). Noninvasive Assessment of Left Ventricular Pressure-Volume Relations: Inter- and Intraobserver Variability and Assessment Across Heart Failure Subtypes. American Journal of Cardiology, 184, 48–55. https://doi.org/10.1016/j.amjcard.2022.09.001
1197Tran-Nguyen, N., Condemi, F., Yan, A., Fremes, S., Triverio, P., & Jimenez-Juan, L. (2022). Wall Shear Stress Differences Between Arterial and Venous Coronary Artery Bypass Grafts One Month After Surgery. Annals of Biomedical Engineering, 50(12), 1882–1894. https://doi.org/10.1007/s10439-022-03007-x
1196Belvedere, C., Ortolani, M., Marcelli, E., Bortolani, B., Matsiushevich, K., Durante, S., Cercenelli, L., & Leardini, A. (2022). Comparison of Bone Segmentation Software over Different Anatomical Parts. Applied Sciences (Switzerland), 12(12). https://doi.org/10.3390/app12126097
1195Hermanns, N., Wroblewski, V., Bascuñana, P., Wolf, B., Polyak, A., Ross, T. L., Bengel, F. M., & Thackeray, J. T. (2022). Molecular imaging of the brain–heart axis provides insights into cardiac dysfunction after cerebral ischemia. Basic Research in Cardiology, 117(1), 1–15. https://doi.org/10.1007/s00395-022-00961-4
1194Hess, A., Borchert, T., Ross, T. L., Bengel, F. M., & Thackeray, J. T. (2022). Characterizing the transition from immune response to tissue repair after myocardial infarction by multiparametric imaging. Basic Research in Cardiology, 117(1), 1–14. https://doi.org/10.1007/s00395-022-00922-x
1193Polacin, M., Karolyi, M., Eberhard, M., Matziris, I., Alkadhi, H., Kozerke, S., & Manka, R. (2022). Segmental strain for scar detection in acute myocardial infarcts and in follow-up exams using non-contrast CMR cine sequences. BMC Cardiovascular Disorders, 22(1), 1–11. https://doi.org/10.1186/s12872-022-02664-z
1192Peterson, T. E., Landon, C., Haberlen, S. A., Bhondoekhan, F., Plankey, M. W., Palella, F. J., Piggott, D. A., Margolick, J. B., Brown, T. T., Post, W. S., & Wu, K. C. (2022). Circulating biomarker correlates of left atrial size and myocardial extracellular volume fraction among persons living with and without HIV. BMC Cardiovascular Disorders, 22(1), 1–11. https://doi.org/10.1186/s12872-022-02835-y
1191Batra, A., Barnard, A. M., Lott, D. J., Willcocks, R. J., Forbes, S. C., Chakraborty, S., Daniels, M. J., Arbogast, J., Triplett, W., Henricson, E. K., Dayan, J. G., Schmalfuss, C., Sweeney, L., Byrne, B. J., McDonald, C. M., Vandenborne, K., & Walter, G. A. (2022). Longitudinal changes in cardiac function in Duchenne muscular dystrophy population as measured by magnetic resonance imaging. BMC Cardiovascular Disorders, 22(1), 1–12. https://doi.org/10.1186/s12872-022-02688-5
1190Petousis, S., Hamilos, M., Pagonidis, K., Vardas, P., Lazopoulos, G., Anastasiou, I., Zacharis, E., Kochiadakis, G., & Skalidis, E. (2022). Assessment of myocardial salvage in patients with STEMI undergoing thrombolysis: ticagrelor versus clopidogrel. BMC Cardiovascular Disorders, 22(1), 1–10. https://doi.org/10.1186/s12872-022-02735-1
1189Mpweme Bangando, H., Simard, C., Aize, M., Lebrun, A., Manrique, A., & Guinamard, R. (2022). TRPM4 Participates in Irradiation-Induced Aortic Valve Remodeling in Mice. Cancers, 14(18). https://doi.org/10.3390/cancers14184477
1188Pöyhönen, P., Kuusisto, J., Pirinen, J., Räty, H., Lehmonen, L., Paakkanen, R., Martinez-Majander, N., Saeed, S., Gerdts, E., Putaala, J., Sinisalo, J., & Järvinen, V. (2022). Orientation of the Atrial Septum to the Inferior Vena Cava May Contribute to the Persistent Patency of the Foramen Ovale. Cardiology, 147(2), 169–178. https://doi.org/10.1159/000522017
1187Polacin, M., Hünermund, T., Müggler, O., Alkadhi, H., Kozerke, S., & Manka, R. (2022). Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease. Cardiology and Cardiovascular Medicine, 06(06), 542–549. https://doi.org/10.26502/fccm.92920297
1186Ozer Gokaslan, C., Gokaslan, S., Demirel, E., & Sengul Ayan, S. (2022). Use of phase-contrast MRI to measure aortic stiffness in young-onset hypertension: A pilot study. Cardiology in the Young. https://doi.org/10.1017/S1047951122000567
1185Maagaard, M., Boutrup, N., Udholm, S., Ahlstrup, M., Nielsen-Kudsk, J. E., Ringgaard, S., & Hjortdal, V. (2022). Adults with small, unrepaired atrial septal defects have reduced cardiac index during exercise. Cardiology in the Young, 1–11. https://doi.org/10.1017/s1047951122003742
1184Kočková, R., Línková, H., Hlubocká, Z., Mědílek, K., Tuna, M., Vojáček, J., Skalský, I., Černý, Š., Malý, J., Hlubocký, J., Mizukami, T., De Colle, C., & Pěnička, M. (2022). Multiparametric Strategy to Predict Early Disease Decompensation in Asymptomatic Severe Aortic Regurgitation. Circulation: Cardiovascular Imaging, 15(12), E014901. https://doi.org/10.1161/CIRCIMAGING.122.014901
1183Sjöberg, P., Arheden, H., Heiberg, E., Stephensen, S., & Carlsson, M. (2022). Haemodynamic left-ventricular changes during dobutamine stress in patients with atrial septal defect assessed with magnetic resonance imaging-based pressure–volume loops. Clinical Physiology and Functional Imaging, 42(6), 422–429. https://doi.org/10.1111/cpf.12781
1182Gyllenhammar, T., Carlsson, M., Jögi, J., Arheden, H., & Engblom, H. (2022). Myocardial perfusion by CMR coronary sinus flow shows sex differences and lowered perfusion at stress in patients with suspected microvascular angina. Clinical Physiology and Functional Imaging, 42(3), 208–219. https://doi.org/10.1111/cpf.12750
1181Sjöberg, P., Arheden, H., Heiberg, E., Stephensen, S., & Carlsson, M. (2022). Haemodynamic left‐ventricular changes during dobutamine stress in patients with atrial septal defect assessed with magnetic resonance imaging‐based pressure–volume loops. Clinical Physiology and Functional Imaging, 42(6), 422–429. https://doi.org/10.1111/cpf.12781
1180Shar, J. A., Keswani, S. G., Grande-Allen, K. J., & Sucosky, P. (2022). Significance of aortoseptal angle anomalies to left ventricular hemodynamics and subaortic stenosis: A numerical study. Computers in Biology and Medicine, 146(May), 105613. https://doi.org/10.1016/j.compbiomed.2022.105613
1179Dorniak, K., Daniłowicz-Szymanowicz, L., Sikorska, K., Rozwadowska, K., Fijałkowska, J., Glińska, A., Tuzimek, M., Sabisz, A., Żarczyńska-Buchowiecka, M., Świątczak Michałand Dudziak, M., Szurowska, E., Świątczak, M., Dudziak, M., & Szurowska, E. (2022). Left Ventricular Function and Iron Loading Status in a Tertiary Center Hemochromatosis Cohort—A Cardiac Magnetic Resonance Study. Diagnostics, 12(11). https://doi.org/10.3390/diagnostics12112620
1178Vanherle, L., Lidington, D., Uhl, F. E., Steiner, S., Vassallo, S., Skoug, C., Duarte, J. M. N. N., Ramu, S., Uller, L., Desjardins, J. F., Connelly, K. A., Bolz, S. S., & Meissner, A. (2022). Restoring myocardial infarction-induced long-term memory impairment by targeting the cystic fibrosis transmembrane regulator. EBioMedicine, 86, 104384. https://doi.org/10.1016/j.ebiom.2022.104384
1177Berg, J., Åkesson, J., Jablonowski, R., Solem, K., Heiberg, E., Borgquist, R., Arheden, H., & Carlsson, M. (2022). Ventricular longitudinal function by cardiovascular magnetic resonance predicts cardiovascular morbidity in HFrEF patients. ESC Heart Failure, 9(4), 2313–2324. https://doi.org/10.1002/ehf2.13916
1176Crispi, F., Bernardino, G., Sepulveda-Martinez, A., Rodriguez-Lopez, M., Prat-Gonzalez, S., Pajuelo, C., Perea, R. J., Caralt, M. T., Crovetto, F., Gonzalez-Ballester, M. A., Sitges, M., Gratacos, E., & Bijnens, B. (2022). Unique cardiac remodeling in young adults born Small for Gestational Age with subsequent central obesity. European Heart Journal, 43(Supplement_2), 1–8. https://doi.org/10.1093/eurheartj/ehac544.1838
1175Tahir, E., Azar, M., Shihada, S., Seiffert, K., Goy, Y., Beitzen-Heineke, A., Molwitz, I., Muellerleile, K., Stehning, C., Schön, G., Adam, G., Petersen, C., Müller, V., & Lund, G. K. (2022). Myocardial injury detected by T1 and T2 mapping on CMR predicts subsequent cancer therapy–related cardiac dysfunction in patients with breast cancer treated by epirubicin-based chemotherapy or left-sided RT. European Radiology, 32(3), 1853–1865. https://doi.org/10.1007/s00330-021-08260-7
1174Dimov, I. P., Tous, C., Li, N., Barat, M., Bomberna, T., Debbaut, C., Jin, N., Moran, G., Tang, A., & Soulez, G. (2022). Assessment of hepatic arterial hemodynamics with 4D flow MRI: in vitro analysis of motion and spatial resolution related error and in vivo feasibility study in 20 volunteers. European Radiology, 32(12), 8639–8648. https://doi.org/10.1007/s00330-022-08890-5
1173Corrado, P. A., Wentland, A. L., Starekova, J., Dhyani, A., Goss, K. N., & Wieben, O. (2022). Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation. European Radiology, 32(8), 5669–5678. https://doi.org/10.1007/s00330-022-08616-7
1172Chen, H., Warncke, M. L., Muellerleile, K., Saering, D., Beitzen-Heineke, A., Kisters, A., Swiderska, M., Cavus, E., Jahnke, C. M., Adam, G., Lund, G. K., & Tahir, E. (2022). Acute impact of an endurance race on biventricular and biatrial myocardial strain in competitive male and female triathletes evaluated by feature-tracking CMR. European Radiology, 32(5), 3423–3435. https://doi.org/10.1007/s00330-021-08401-y
1171Xu, J., Yang, W., Zhao, S., & Lu, M. (2022). State-of-the-art myocardial strain by CMR feature tracking: clinical applications and future perspectives. European Radiology, 32(8), 5424–5435. https://doi.org/10.1007/s00330-022-08629-2
1170Bergamasco, L. C. C., Lima, K. R. P. S. P. S., Rochitte, C. E., & Nunes, F. L. S. S. (2022). A bipartite graph approach to retrieve similar 3D models with different resolution and types of cardiomyopathies. Expert Systems with Applications, 193(December 2021). https://doi.org/10.1016/j.eswa.2021.116422
1169He, Y., Northrup, H., Le, H., Cheung, A. K., Berceli, S. A., & Shiu, Y. T. (2022). Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases. Frontiers in Bioengineering and Biotechnology, 10(April), 1–17. https://doi.org/10.3389/fbioe.2022.855791
1168El-Saadi, W., Engvall, J. E., Alfredsson, J., Karlsson, J. E., Martins, M., Sederholm, S., Faisal Zaman, S., Ebbers, T., & Kihlberg, J. (2022). A head-to-head comparison of myocardial strain by fast-strain encoding and feature tracking imaging in acute myocardial infarction. Frontiers in Cardiovascular Medicine, 9. https://doi.org/10.3389/fcvm.2022.949440
1167Neef, K., Drey, F., Lepperhof, V., Wahlers, T., Hescheler, J., Choi, Y. H., & Šarić, T. (2022). Co-transplantation of Mesenchymal Stromal Cells and Induced Pluripotent Stem Cell-Derived Cardiomyocytes Improves Cardiac Function After Myocardial Damage. Frontiers in Cardiovascular Medicine, 8(January), 1–12. https://doi.org/10.3389/fcvm.2021.794690
1166Northrup, H., He, Y., Le, H., Berceli, S. A., Cheung, A. K., & Shiu, Y. T. (2022). Differential hemodynamics between arteriovenous fistulas with or without intervention before successful use. Frontiers in Cardiovascular Medicine, 9(November), 1–18. https://doi.org/10.3389/fcvm.2022.1001267
1165Elsayed, A., Mauger, C. A., Ferdian, E., Gilbert, K., Scadeng, M., Occleshaw, C. J., Lowe, B. S., McCulloch, A. D., Omens, J. H., Govil, S., Pushparajah, K., & Young, A. A. (2022). Right Ventricular Flow Vorticity Relationships With Biventricular Shape in Adult Tetralogy of Fallot. Frontiers in Cardiovascular Medicine, 8(January), 1–10. https://doi.org/10.3389/fcvm.2021.806107
1164Edin, C., Ekstedt, M., Scheffel, T., Karlsson, M., Swahn, E., Östgren, C. J., Engvall, J., Ebbers, T., Leinhard, O. D., Lundberg, P., & Carlhäll, C. J. (2022). Ectopic fat is associated with cardiac remodeling—A comprehensive assessment of regional fat depots in type 2 diabetes using multi-parametric MRI. Frontiers in Cardiovascular Medicine, 9. https://doi.org/10.3389/fcvm.2022.813427
1163Wood, G., Kirkevang, T. S., Agergaard, J., Leth, S., Hansen, E. S. S., Laustsen, C., Larsen, A. H., Jensen, H. K., Østergaard, L. J., Bøtker, H. E., Poulsen, S. H., & Kim, W. Y. (2022). Cardiac Performance and Cardiopulmonary Fitness After Infection With SARS-CoV-2. Frontiers in Cardiovascular Medicine, 9(May), 1–9. https://doi.org/10.3389/fcvm.2022.871603
1162Uhl, F. E., Vanherle, L., & Meissner, A. (2022). Cystic fibrosis transmembrane regulator correction attenuates heart failure-induced lung inflammation. Frontiers in Immunology, 13(July), 1–13. https://doi.org/10.3389/fimmu.2022.928300
1161Abou-Arab, O., Beyls, C., Moussa, M. D., Huette, P., Beaudelot, E., Guilbart, M., De Broca, B., Yzet, T., Dupont, H., Bouzerar, R., & Mahjoub, Y. (2022). Portal Vein Pulsatility Index as a Potential Risk of Venous Congestion Assessed by Magnetic Resonance Imaging: A Prospective Study on Healthy Volunteers. Frontiers in Physiology, 13(April), 1–10. https://doi.org/10.3389/fphys.2022.811286
1160Sundin, J., Bustamante, M., Ebbers, T., Dyverfeldt, P., & Carlhäll, C. J. (2022). Turbulent Intensity of Blood Flow in the Healthy Aorta Increases With Dobutamine Stress and is Related to Cardiac Output. Frontiers in Physiology, 13(May), 1–11. https://doi.org/10.3389/fphys.2022.869701
1159Can, E., Smith, M., Boukens, B. J., Coronel, R., Buffenstein, R., & Riegler, J. (2022). Naked mole-rats maintain cardiac function and body composition well into their fourth decade of life. GeroScience, 44(2), 731–746. https://doi.org/10.1007/s11357-022-00522-6
1158Strauss, B., Bisserier, M., Obus, E., Katz, M. G., Fargnoli, A., Cacheux, M., Akar, J. G., Hummel, J. P., Hadri, L., Sassi, Y., & Akar, F. G. (2022). Right predominant electrical remodeling in a pure model of pulmonary hypertension promotes reentrant arrhythmias. Heart Rhythm, 19(1), 113–124. https://doi.org/10.1016/j.hrthm.2021.09.021
1157Kwon, O. S., Lee, J., Park, J. W., Yang, S. H., Hwang, I., Yu, H. T., Shin, H., & Pak, H. N. (2022). Three-Dimensional Atrial Wall Thickness Measurement Algorithm From a Segmented Atrial Wall Using a Partial Differential Equation. IEEE Access, 10, 32161–32170. https://doi.org/10.1109/ACCESS.2022.3159795
1156Gleditsch, J., Jervan, Ø., Tavoly, M., Geier, O., Holst, R., Klok, F. A., Ghanima, W., & Hopp, E. (2022). Association between myocardial fibrosis, as assessed with cardiac magnetic resonance T1 mapping, and persistent dyspnea after pulmonary embolism. IJC Heart and Vasculature, 38, 100935. https://doi.org/10.1016/j.ijcha.2021.100935
1155Gleditsch, J., Jervan, Haukeland-Parker, S., Tavoly, M., Geier, O., Holst, R., Klok, F. A., Johannessen, H. H., Ghanima, W., & Hopp, E. (2022). Effects of pulmonary rehabilitation on cardiac magnetic resonance parameters in patients with persistent dyspnea following pulmonary embolism. IJC Heart and Vasculature, 40(March), 100995. https://doi.org/10.1016/j.ijcha.2022.100995
1154Endo, K., Kiko, T., Yamakuni, R., Misaka, T., Yamaki, T., Nakazato, K., Fukushima, K., & Takeishi, Y. (2022). Prognostic Value of Simultaneous Analysis with Myocardial Flow Reserve and Right Ventricular Strain by Hybrid13N-Ammonia Positron Emission Tomography/Magnetic Resonance Imaging in Coronary Artery Disease. International Heart Journal, 63(6), 1063–1069. https://doi.org/10.1536/ihj.22-322
1153Zabidi, N. A., Nazri, F., Syafinaz, I., Amin, M., Salahuddin, M., Basri, M., Basha, R. K., & Othman, S. H. (2022). Jo ur na l P. International Journal of Biological Macromolecules, 2(2), 33–47. https://doi.org/10.1016/j.mri.2024.03.043
1152Mirmojarabian, S. A., Lammentausta, E., Liukkonen, E., Ahvenjärvi, L., Junttila, J., Nieminen, M. T., & Liimatainen, T. (2022). Myocardium Assessment by Relaxation along Fictitious Field, Extracellular Volume, Feature Tracking, and Myocardial Strain in Hypertensive Patients with Left Ventricular Hypertrophy. International Journal of Biomedical Imaging, 2022. https://doi.org/10.1155/2022/9198691
1151Myhre, P. L., Røsjø, H., Sarvari, S. I., Ukkonen, H., Rademakers, F., Engvall, J. E., Hagve, T. A., Nagel, E., Sicari, R., Zamorano, J. L., Monaghan, M., D’hooge, J., Edvardsen, T., & Omland, T. (2022). Cardiac troponin T and NT-proBNP for detecting myocardial ischemia in suspected chronic coronary syndrome. International Journal of Cardiology, 361(May), 14–17. https://doi.org/10.1016/j.ijcard.2022.05.027
1150Weber, L., Sokolska, J. M., Nadarevic, T., Karolyi, M., Baessler, B., Fischer, X., Sokolski, M., von Spiczak, J., Polacin, M., Matziris, I., Alkadhi, H., & Robert, M. (2022). Impact of myocardial injury on regional left ventricular function in the course of acute myocarditis with preserved ejection fraction: insights from segmental feature tracking strain analysis using cine cardiac MRI. International Journal of Cardiovascular Imaging, 38(8), 1851–1861. https://doi.org/10.1007/s10554-022-02601-3
1149Sjögren, H., Pahlm, U., Engblom, H., Erlinge, D., Heiberg, E., Arheden, H., Carlsson, M., & Ostenfeld, E. (2022). Anterior STEMI associated with decreased strain in remote cardiac myocardium. International Journal of Cardiovascular Imaging, 38(2), 375–387. https://doi.org/10.1007/s10554-021-02391-0
1148Lindholm, A., Kjellström, B., Seemann, F., Carlsson, M., Hesselstrand, R., Rådegran, G., Arheden, H., & Ostenfeld, E. (2022). Atrioventricular plane displacement and regional function to predict outcome in pulmonary arterial hypertension. International Journal of Cardiovascular Imaging, 38(10), 2235–2248. https://doi.org/10.1007/s10554-022-02616-w
1147Lehmonen, L., Putaala, J., Pöyhönen, P., Kuusisto, J., Pirinen, J., Sinisalo, J., & Järvinen, V. (2022). MRI-derived cardiac washout is slowed in the left ventricle and associated with left ventricular non-compaction in young patients with cryptogenic ischemic stroke. International Journal of Cardiovascular Imaging, 38(11), 2395–2402. https://doi.org/10.1007/s10554-022-02643-7
1146Uhl, F. E., Vanherle, L., Matthes, F., & Meissner, A. (2022). Therapeutic CFTR Correction Normalizes Systemic and Lung-Specific S1P Level Alterations Associated with Heart Failure. International Journal of Molecular Sciences, 23(2). https://doi.org/10.3390/ijms23020866
1145Meissner, A., Garcia-Serrano, A. M., Vanherle, L., Rafiee, Z., Don-Doncow, N., Skoug, C., Larsson, S., Gottschalk, M., Magnusson, M., & Duarte, J. M. N. N. (2022). Alterations to Cerebral Perfusion, Metabolite Profiles, and Neuronal Morphology in the Hippocampus and Cortex of Male and Female Mice during Chronic Exposure to a High-Salt Diet. International Journal of Molecular Sciences, 24(1), 300. https://doi.org/10.3390/ijms24010300
1144Muthulakshmi, M., & Kavitha, G. (2022). Cardiovascular Disorder Severity Detection Using Myocardial Anatomic Features Based Optimized Extreme Learning Machine Approach. Irbm, 43(1), 2–12. https://doi.org/10.1016/j.irbm.2020.06.004
1143Caspersen, M., Tanveer, M. S., Shihavuddin, A., Syeed, M. M. M., Maruf, M. H., Amin, A., & Uddin, F. M. (2022). Cascaded DNNs for detecting the position and orientation of Left Ventricle from 3D CT Scans. IVMSP 2022 – 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop. https://doi.org/10.1109/IVMSP54334.2022.9816249
1142Arvidsson, P. M., Nelsson, A., Edlund, J., Smith, J. G., Magnusson, M., Jin, N., Heiberg, E., Carlsson, M., Steding-Ehrenborg, K., & Arheden, H. (2022). Kinetic energy of left ventricular blood flow across heart failure phenotypes and in subclinical diastolic dysfunction. Journal of Applied Physiology, 133(3), 697–709. https://doi.org/10.1152/JAPPLPHYSIOL.00257.2022
1141Iffrig, E., Timmins, L. H., El Sayed, R., Taylor, W. R., & Oshinski, J. N. (2022). A New Method for Quantifying Abdominal Aortic Wall Shear Stress Using Phase Contrast Magnetic Resonance Imaging and the Womersley Solution. Journal of Biomechanical Engineering, 144(9), 1–11. https://doi.org/10.1115/1.4054236
1140Holst, T., Petersen, J., Adam, G., Reichenspurner, H., Girdauskas, E., & Tahir, E. (2022). A novel technique to quantify aortic valve annulus deformation: A pilot study. Journal of Cardiac Surgery, 37(9), 2734–2737. https://doi.org/10.1111/jocs.16683
1139Qin, J. J., Indja, B., Gholipour, A., Gök, M., & Grieve, S. M. (2022). Evaluation of Left Ventricular Function Using Four-Dimensional Flow Cardiovascular Magnetic Resonance: A Systematic Review. Journal of Cardiovascular Development and Disease, 9(9). https://doi.org/10.3390/jcdd9090304
1138Alessandro Barbarossa, Francesca Coraducci, Laura Cipolletta, Federico Guerra, A. D. R. (2022). Very Mobile Left Ventricular Outflow Tract Papillary Fibroelastoma Presenting with Multiple Ischemic Strokes: A Case Report and Brief Review of the Literature. Journal of Cardiovascular Echography, 32(4), 93–98. https://doi.org/10.4103/jcecho.jcecho
1137Heiberg, E., Engblom, H., Carlsson, M., Erlinge, D., Atar, D., Aletras, A. H., & Arheden, H. (2022). Infarct quantification with cardiovascular magnetic resonance using “standard deviation from remote” is unreliable: validation in multi-centre multi-vendor data. Journal of Cardiovascular Magnetic Resonance, 24(1), 1–12. https://doi.org/10.1186/s12968-022-00888-8
1136Seemann, F., Javed, A., Chae, R., Ramasawmy, R., O’Brien, K., Baute, S., Xue, H., Lederman, R. J., Campbell-Washburn, A. E., O’Brien, K., Baute, S., Xue, H., Lederman, R. J., & Campbell-Washburn, A. E. (2022). Imaging gravity-induced lung water redistribution with automated inline processing at 0.55 T cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 24(1), 1–13. https://doi.org/10.1186/s12968-022-00862-4
1135Joergensen, S. H., Hansen, E. S. S., Bøgh, N., Bertelsen, L. B., Staehr, P. B., Schulte, R. F., Malloy, C., Wiggers, H., & Laustsen, C. (2022). Detection of increased pyruvate dehydrogenase flux in the human heart during adenosine stress test using hyperpolarized [1-13C]pyruvate cardiovascular magnetic resonance imaging. Journal of Cardiovascular Magnetic Resonance, 24(1), 1–9. https://doi.org/10.1186/s12968-022-00860-6
1134Frieberg, P., Aristokleous, N., Sjöberg, P., Töger, J., Liuba, P., & Carlsson, M. (2022). Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours: The Next Step in Clinical Pre-Interventional Simulations. Journal of Cardiovascular Translational Research, 15(4), 708–720. https://doi.org/10.1007/s12265-021-10198-6
1133Hlubocká, Z., Kočková, R., Línková, H., Pravečková, A., Hlubocký, J., Dostálová, G., Bláha, M., Pěnička, M., & Linhart, A. (2022). Assessment of asymptomatic severe aortic regurgitation by doppler-derived echo indices: Comparison with magnetic resonance quantification. Journal of Clinical Medicine, 11(1). https://doi.org/10.3390/jcm11010152
1132Nita, N., Kersten, J., Pott, A., Weber, F., Tesfay, T., Benea, M. T., Metze, P., Li, H., Rottbauer, W., Rasche, V., & Buckert, D. (2022). Real-Time Spiral CMR Is Superior to Conventional Segmented Cine-Imaging for Left-Ventricular Functional Assessment in Patients with Arrhythmia. Journal of Clinical Medicine, 11(8). https://doi.org/10.3390/jcm11082088
1131Cicolari, D., Lizio, D., Pedrotti, P., Moioli, M. T., Lascialfari, A., Mariani, M., & Torresin, A. (2022). A method for T1 and T2 relaxation times validation and harmonization as a support to MRI mapping. Journal of Magnetic Resonance, 334, 107110. https://doi.org/10.1016/j.jmr.2021.107110
1130Kramer, L. A., Hasan, K. M., Gabr, R. E., Macias, B. R., Marshall-Goebel, K., Laurie, S. S., & Hargens, A. R. (2022). Cerebrovascular Effects of Lower Body Negative Pressure at 3T MRI: Implications for Long-Duration Space Travel. Journal of Magnetic Resonance Imaging, 56(3), 873–881. https://doi.org/10.1002/jmri.28102
1129Miller, C. E., Jordan, J. H., Douglas, E., Ansley, K., Thomas, A., & Weis, J. A. (2022). Reproducibility assessment of a biomechanical model-based elasticity imaging method for identifying changes in left ventricular mechanical stiffness. Journal of Medical Imaging, 9(05), 1–16. https://doi.org/10.1117/1.jmi.9.5.056001
1128Midgett, D. E., Thorn, S. L., Ahn, S. S., Uman, S., Avendano, R., Melvinsdottir, I., Lysyy, T., Kim, J. S., Duncan, J. S., Humphrey, J. D., Papademetris, X., Burdick, J. A., & Sinusas, A. J. (2022). CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel. Journal of Molecular and Cellular Cardiology, 166(May 2021), 74–90. https://doi.org/10.1016/j.yjmcc.2022.02.004
1127Apert, A., Canu, M., Jankowski, A., Riou, L., Broisat, A., Charlon, C., Augier, C., Boignard, A., Leenhardt, J., Salvat, M., Casset, C., Maurin, M., Saunier, C., Vanzetto, G., Fagret, D., Ghezzi, C., Djaileb, L., & Barone-Rochette, G. (2022). Comparison of Cadmium Zinc Telluride ECG-gated SPECT equilibrium radionuclide angiocardiography to magnetic resonance imaging to measure right ventricular volumes and ejection fraction in patients with cardiomyopathy. Journal of Nuclear Cardiology, 29(4), 1647–1656. https://doi.org/10.1007/s12350-021-02653-3
1126Nordström, J., Kvernby, S., Kero, T., Sörensen, J., Harms, H. J., & Lubberink, M. (2022). Left-ventricular volumes and ejection fraction from cardiac ECG-gated 15O-water positron emission tomography compared to cardiac magnetic resonance imaging using simultaneous hybrid PET/MR. Journal of Nuclear Cardiology. https://doi.org/10.1007/s12350-022-03154-7
1125Mirza, J., Sunder, S. S., Karthikeyan, B., Kattel, S., Pokharel, S., Quigley, B., & Sharma, U. C. (2022). Echocardiographic and Cardiac MRI Comparison of Longitudinal Strain and Strain Rate in Cancer Patients Treated with Immune Checkpoint Inhibitors. Journal of Personalized Medicine, 12(8), 1–17. https://doi.org/10.3390/jpm12081332
1124Van den Eynde, J., Jacquemyn, X., Cloet, N., Noé, D., Gillijns, H., Lox, M., Gsell, W., Himmelreich, U., Luttun, A., McCutcheon, K., Janssens, S., & Oosterlinck, W. (2022). Arteriovenous Fistulae in Chronic Kidney Disease and the Heart: Physiological, Histological, and Transcriptomic Characterization of a Novel Rat Model. Journal of the American Heart Association, 11(20). https://doi.org/10.1161/JAHA.122.027593
1123Ghorbannia, A., Ellepola, C. D., Woods, R. K., Ibrahim, E. S. H., Maadooliat, M., Ramirez, H. M., & LaDisa, J. F. (2022). Clinical, Experimental, and Computational Validation of a New Doppler-Based Index for Coarctation Severity Assessment. Journal of the American Society of Echocardiography, 35(12), 1311–1321. https://doi.org/10.1016/j.echo.2022.09.006
1122Xu, D., McBride, E., Kalra, K., Wong, K., Guyton, R. A., Sarin, E. L., & Padala, M. (2022). Undersizing mitral annuloplasty alters left ventricular mechanics in a swine model of ischemic mitral regurgitation. Journal of Thoracic and Cardiovascular Surgery, 164(3), 850–861.e8. https://doi.org/10.1016/j.jtcvs.2020.09.141
1121Binka, E., Zhang, J., Seemann, F., Jani, V., Barnes, B., Gaur, L., Lima, J. A. C. C., Ambale Venkatesh, B., Carlsson, M., & Kutty, S. (2022). Biventricular Pressure-Volume Loop Assessment Before and After Pulmonary Valve Replacement in Tetralogy of Fallot. Journal of Thoracic Imaging, 37(5), W70–W71. https://doi.org/10.1097/RTI.0000000000000665
1120Fischer, C., Wetzl, J., Schaeffter, T., & Giese, D. (2022). Fully automated background phase correction using M-estimate SAmple consensus (MSAC)—Application to 2D and 4D flow. Magnetic Resonance in Medicine, 88(6), 2709–2717. https://doi.org/10.1002/mrm.29363
1119Tougaard, R. S., Laustsen, C., Lassen, T. R., Qi, H., Lindhardt, J. L., Schroeder, M., Jespersen, N. R., Hansen, E. S. S., Ringgaard, S., Bøtker, H. E., Kim, W. Y., Stødkilde-Jørgensen, H., & Wiggers, H. (2022). Remodeling after myocardial infarction and effects of heart failure treatment investigated by hyperpolarized [1-13C]pyruvate magnetic resonance spectroscopy. Magnetic Resonance in Medicine, 87(1), 57–69. https://doi.org/10.1002/mrm.28964
1118Töger, J., Andersen, M., Haglund, O., Kylkilahti, T. M., Lundgaard, I., & Markenroth Bloch, K. (2022). Real-time imaging of respiratory effects on cerebrospinal fluid flow in small diameter passageways. Magnetic Resonance in Medicine, 88(2), 770–786. https://doi.org/10.1002/mrm.29248
1117Heidari, A., Elkhodary, K. I., Pop, C., Badran, M., Vali, H., Abdel-Raouf, Y. M. A. A., Torbati, S., Asgharian, M., Steele, R. J., Mahmoudzadeh Kani, I., Sheibani, S., Pouraliakbar, H., Sadeghian, H., Cecere, R., Friedrich, M. G. W. W., & Tafti, H. A. (2022). Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease. Medical and Biological Engineering and Computing, 60(6), 1723–1744. https://doi.org/10.1007/s11517-022-02556-6
1116Saloux, E., Popoff, A., Langet, H., Piro, P., Ropert, C., Gauriau, R., Stelttler, R., Amzulescu, M. S., Pizaine, G., Allain, P., Bernard, O., Hodzic, A., Manrique, A., Craene, M. De, & Gerber, B. L. (2022). Deep Learning vs manual techniques for assessing left ventricular ejection fraction in 2D echocardiography: validation against CMR Short title: MedRxiv.
1115Migotto, B. D. J. J., Gill, S., Sem, M., Macpherson, A. K., & Hynes, L. M. (2022). Sex-related differences in sternocleidomastoid muscle morphology in healthy young adults: A cross-sectional magnetic resonance imaging measurement study. Musculoskeletal Science and Practice, 61(May), 102590. https://doi.org/10.1016/j.msksp.2022.102590
1114Macías, Á., González-Guerra, A., Moreno-Manuel, A. I., Cruz, F. M., Gutiérrez, L. K., García-Quintáns, N., Roche-Molina, M., Bermúdez-Jiménez, F., Andrés, V., Vera-Pedrosa, M. L., Martínez-Carrascoso, I., Bernal, J. A., & Jalife, J. (2022). Kir2.1 dysfunction at the sarcolemma and the sarcoplasmic reticulum causes arrhythmias in a mouse model of Andersen–Tawil syndrome type 1. Nature Cardiovascular Research, 1(10), 900–917. https://doi.org/10.1038/s44161-022-00145-2
1113Lee, L. E., Chandrasekar, B., Yu, P., & Ma, L. (2022). Quantification of myocardial fibrosis using noninvasive T2-mapping magnetic resonance imaging: Preclinical models of aging and pressure overload. NMR in Biomedicine, 35(3), 1–15. https://doi.org/10.1002/nbm.4641
1112Ryd, D., Nilsson, A., Heiberg, E., & Hedström, E. (2022). Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use. Pediatric Cardiology, 44(0123456789), 1311–1318. https://doi.org/10.1007/s00246-022-03038-0
1111Lundström, S., Liefke, J., Heiberg, E., & Hedström, E. (2022). Pulse Wave Velocity Measurements by Magnetic Resonance Imaging in Neonates and Adolescents: Methodological Aspects and Their Clinical Implications. Pediatric Cardiology, 43(7), 1631–1644. https://doi.org/10.1007/s00246-022-02894-0
1110Liefke, J., Heijl, C., Steding-Ehrenborg, K., Morsing, E., Arheden, H., Ley, D., Hedström, E., Steding, K., Eva, E., Håkan, M., David, A., Hedström, E., Steding-Ehrenborg, K., Morsing, E., Arheden, H., Ley, D., & Hedström, E. (2022). Fetal growth restriction followed by very preterm birth is associated with smaller kidneys but preserved kidney function in adolescence. Pediatric Nephrology, 38(6), 1855–1866. https://doi.org/10.1007/s00467-022-05785-x
1109Liefke, J., Steding-Ehrenborg, K., Sjöberg, P., Ryd, D., Morsing, E., Arheden, H., Ley, D., & Hedström, E. (2022). Higher blood pressure in adolescent boys after very preterm birth and fetal growth restriction. Pediatric Research, 93(August), 1–9. https://doi.org/10.1038/s41390-022-02367-3
1108Gu, Q., Xu, F., Orgil, B. O., Khuchua, Z., Munkhsaikhan, U., Johnson, J. N., Alberson, N. R., Pierre, J. F., Black, D. D., Dong, D., Brennan, J. A., Cathey, B. M., Efimov, I. R., Towbin, J. A., Purevjav, E., & Lu, L. (2022). Systemsgeneticsanalysisdefines importance of TMEM43/LUMA for cardiac-and metabolic-related pathways. Physiological Genomics, 54(1), 22–35. https://doi.org/10.1152/PHYSIOLGENOMICS.00066.2021
1107Gu, Q., Xu, F., Orgil, B.-O. O., Khuchua, Z., Munkhsaikhan, U., Johnson, J. N., Alberson, N. R., Pierre, J. F., Black, D. D., Dong, D., Brennan, J. A., Cathey, B. M., Efimov, I. R., Towbin, J. A., Purevjav, E., & Lu, L. (2022). Systems genetics analysis defines importance of TMEM43/LUMA for cardiac-and metabolic-related pathways. Physiological Genomics, 54(1), 22–35. https://doi.org/10.1152/PHYSIOLGENOMICS.00066.2021
1106Udjus, C., Sjaastad, I., Hjørnholm, U., Tunestveit, T. K., Hoffmann, P., Hinojosa, A., Espe, E. K. S. S., Christensen, G., Skjønsberg, O. H., Larsen, K. O., & Rostrup, M. (2022). Extreme altitude induces divergent mass reduction of right and left ventricle in mountain climbers. Physiological Reports, 10(3), 1–11. https://doi.org/10.14814/phy2.15184
1105Pradella, M., Anastasopoulos, C., Yang, S., Moor, M., Badertscher, P., Gehweiler, J. E., Spies, F., Haaf, P., Zellweger, M., Sommer, G., Stieltjes, B., Bremerich, J., Osswald, S., Kuhne, M., Sticherling, C., & Knecht, S. (2022). Associations between fully-automated, 3Dbased functional analysis of the left atrium and classification schemes in atrial fibrillation. PLoS ONE, 17(8 August), 1–19. https://doi.org/10.1371/journal.pone.0272011
1104Hernandez-Casillas, A., Del-Canto, I., Ruiz-Espana, S., Lopez-Lereu, M. P., Monmeneu, J. V., & Moratal, D. (2022). Detection and Classification of Myocardial Infarction Transmurality Using Cardiac MR Image Analysis and Machine Learning Algorithms. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022-July, 1686–1689. https://doi.org/10.1109/EMBC48229.2022.9871924
1103François, C. J., Barton, G. P., Corrado, P. A., Broman, A. T., Chesler, N. C., Eldridge, M. W., Wieben, O., & Goss, K. N. (2022). Diffuse Myocardial Fibrosis at Cardiac MRI in Young Adults Born Prematurely: A Cross-sectional Cohort Study. Radiology: Cardiothoracic Imaging, 4(3), 1–9. https://doi.org/10.1148/ryct.210224
1102Zhang, M. (2022). Predictive Value of 68 Ga-FAPI-04 PET / MR for Left Ventricular Remodeling in Patients with Acute Myocardial Infarction. Research Square, 1–21.
1101Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A. H., & Steding-Ehrenborg, K. (2022). Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports, 12(1), 1–15. https://doi.org/10.1038/s41598-022-09366-8
1100Arvidsson, P. M., Nelsson, A., Magnusson, M., Smith, J. G., Carlsson, M., & Arheden, H. (2022). Hemodynamic force analysis is not ready for clinical trials on HFpEF. Scientific Reports, 12(1), 1–9. https://doi.org/10.1038/s41598-022-08023-4
1099Erley, J., Starekova, J., Sinn, M., Muellerleile, K., Chen, H., Harms, P., Naimi, L., Meyer, M., Cavus, E., Schneider, J., Blankenberg, S., Lund, G. K., Adam, G., & Tahir, E. (2022). Cardiac magnetic resonance feature tracking global and segmental strain in acute and chronic ST-elevation myocardial infarction. Scientific Reports, 12(1), 1–11. https://doi.org/10.1038/s41598-022-26968-4
1098Fernández-Llaneza, D., Gondová, A., Vince, H., Patra, A., Zurek, M., Konings, P., Kagelid, P., Hultin, L., Llaneza, D. F., Gondová, A., Vince, H., Patra, A., Zurek, M., Konings, P., Kagelid, P., Hultin, L., & End-diastole, E. D. (2022). Towards fully automated segmentation of rat cardiac MRI by leveraging deep learning frameworks. Scientific Reports, 12(1), 1–13. https://doi.org/10.1038/s41598-022-12378-z
1097Sophocleous, F., Standen, L., Doolub, G., Laymouna, R., Bucciarelli-Ducci, C., Caputo, M., Manghat, N., Hamilton, M., Curtis, S., & Biglino, G. (2022). Analysing functional implications of differences in left ventricular morphology using statistical shape modelling. Scientific Reports, 12(1), 1–12. https://doi.org/10.1038/s41598-022-15888-y
1096Jablonowski, R., Bennet, L., Engblom, H., Aletras, A. H., Xue, H., Kellman, P., Carlsson, M., & Arheden, H. (2022). Quantitative myocardial perfusion during stress using CMR is impaired in healthy Middle Eastern immigrants without CV risk factors. Scientific Reports, 12(1), 1–9. https://doi.org/10.1038/s41598-022-23131-x
1095Muthunayagam, M., & Ganesan, K. (2022). Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine. Signal, Image and Video Processing, 16(1), 127–135. https://doi.org/10.1007/s11760-021-01978-3
1094Pantos, C. I., Trikas, A. G., Pissimisis, E. G., Grigoriou, K. P., Stougiannos, P. N., Dimopoulos, A. K., Linardakis, S. I., Alexopoulos, N. A., Evdoridis, C. G., Gavrielatos, G. D., Patsourakos, N. G., Papakonstantinou, N. D., Theodosis-Georgilas, A. D., & Mourouzis, I. S. (2022). Effects of Acute Triiodothyronine Treatment in Patients with Anterior Myocardial Infarction Undergoing Primary Angioplasty: Evidence from a Pilot Randomized Clinical Trial (ThyRepair Study). Thyroid, 32(6), 714–724. https://doi.org/10.1089/thy.2021.0596
1093Postigo, A., Viola, F., Chazo, C., Martínez-Legazpi, P., González-Mansilla, A., Rodríguez-González, E., Fernández-Avilés, F., del Álamo, J. C., Ebbers, T., & Bermejo, J. (2022). Assessment of Blood Flow Transport in the Left Ventricle Using Ultrasound. Validation Against 4-D Flow Cardiac Magnetic Resonance. Ultrasound in Medicine and Biology, 48(9), 1822–1832. https://doi.org/10.1016/j.ultrasmedbio.2022.05.007
1092Chouhan, M. D., Fitzke, H. E., Bainbridge, A., Atkinson, D., Halligan, S., Davies, N., Lythgoe, M. F., Mookerjee, R. P., Menys, A., & Taylor, S. A. (2021). Cardiac-induced liver deformation as a measure of liver stiffness using dynamic imaging without magnetization tagging—preclinical proof-of-concept, clinical translation, reproducibility and feasibility in patients with cirrhosis. Abdominal Radiology, 46(10), 4660–4670. https://doi.org/10.1007/s00261-021-03168-8
1091Kristiansen, M., Lindén, C., Qvarlander, S., Wåhlin, A., Ambarki, K., Hallberg, P., Eklund, A., & Jóhannesson, G. (2021). Feasibility of MRI to assess differences in ophthalmic artery blood flow rate in normal tension glaucoma and healthy controls. Acta Ophthalmologica, 99(5), e679–e685. https://doi.org/10.1111/aos.14673
1090Lv, S. lin, Zeng, Z. fan, Gan, W. qiang, Wang, W. qi, Li, T. gang, Hou, Y. fang, Yan, Z., Zhang, R. xin, Yang, M., lin Lv, S., fan Zeng, Z., qiang Gan, W., qi Wang, W., gang Li, T., fang Hou, Y., Yan, Z., xin Zhang, R., & Yang, M. (2021). Lp-PLA2 inhibition prevents Ang II-induced cardiac inflammation and fibrosis by blocking macrophage NLRP3 inflammasome activation. Acta Pharmacologica Sinica, 42(12), 2016–2032. https://doi.org/10.1038/s41401-021-00703-7
1089Jasmin, N. H., Thin, M. Z., Johnson, R. D., Jackson, L. H., Roberts, T. A., David, A. L., Lythgoe, M. F., Yang, P. C., Davidson, S. M., Camelliti, P., & Stuckey, D. J. (2021). Myocardial Viability Imaging using Manganese-Enhanced MRI in the First Hours after Myocardial Infarction. Advanced Science, 8(11), 1–12. https://doi.org/10.1002/advs.202003987
1088Osokina, A., Karetnikova, V., Polikutina, O., Ivanova, A., Gruzdeva, O., Dyleva, Y., Kokov, A., Brel, N., Pecherina, T., & Barbarash, O. (2021). Prognostic potential of cardiac structural and functional parameters and N-terminal propeptide of type III procollagen in predicting cardiac fibrosis one year after myocardial infarction with preserved left ventricular ejection fraction. Aging, 13(1), 194–203. https://doi.org/10.18632/aging.202495
1087Jain, S., Obeid, M. J., Yenigalla, S., Paravathaneni, M., Gadela, N. V., Singh, G., Kulkarni, V., Kondaveety, S., Gade, K. C., Lee, J., Kulick-Soper, C. M., Sanchez, N., Satija, V., Hashmath, Z., Zamani, P., Akers, S., & Chirinos, J. A. (2021). Impact of Chronic Obstructive Pulmonary Disease in Heart Failure With Preserved Ejection Fraction. American Journal of Cardiology, 149, 47–56. https://doi.org/10.1016/j.amjcard.2021.03.009
1086Corrado, P. A., Barton, G. P., Francois, C. J., Wieben, O., & Goss, K. N. (2021). Sildenafil administration improves right ventricular function on 4D flow MRI in young adults born premature. American Journal of Physiology – Heart and Circulatory Physiology, 320(6), H2295–H2304. https://doi.org/10.1152/AJPHEART.00824.2020
1085Benitez, J., Fontanarosa, D., Wang, J., Paritala, P. K., McGahan, T., Lloyd, T., & Li, Z. (2021). Evaluating the Impact of Calcification on Plaque Vulnerability from the Aspect of Mechanical Interaction Between Blood Flow and Artery Based on MRI. Annals of Biomedical Engineering, 49(4), 1169–1182. https://doi.org/10.1007/s10439-020-02655-1
1084Antonuccio, M. N., Mariotti, A., Fanni, B. M., Capellini, K., Capelli, C., Sauvage, E., & Celi, S. (2021). Effects of Uncertainty of Outlet Boundary Conditions in a Patient-Specific Case of Aortic Coarctation. Annals of Biomedical Engineering, 49(12), 3494–3507. https://doi.org/10.1007/s10439-021-02841-9
1083Franco, P., Sotelo, J., Montalba, C., Ruijsink, B., Kerfoot, E., Nordsletten, D., Mura, J., Hurtado, D., & Uribe, S. (2021). Comprehensive assessment of left intraventricular hemodynamics using a finite element method: An application to dilated cardiomyopathy patients. Applied Sciences (Switzerland), 11(23), 1–18. https://doi.org/10.3390/app112311165
1082Andersson, M., & Karlsson, M. (2021). Characterization of anisotropic turbulence behavior in pulsatile blood flow. Biomechanics and Modeling in Mechanobiology, 20(2), 491–506. https://doi.org/10.1007/s10237-020-01396-3
1081Li, H., Qu, Y., Metze, P., Sommerfeld, F., Just, S., Abaei, A., & Rasche, V. (2021). Quantification of Biventricular Myocardial Strain Using CMR Feature Tracking: Reproducibility in Small Animals. BioMed Research International, 2021, 1–14. https://doi.org/10.1155/2021/8492705
1080Moreno-manuel, A. I., Cruz, F. M., Roche-molina, M., Bernal, A., Physiology, I., Arbor, A., & Bernal, J. A. (2021). Dual Dysfunction of Kir2.1 Underlies Conduction and Excitation-Contraction Coupling Defects Promoting Arrhythmias in a Mouse Model of Andersen-Tawil Syndrome Type 1. BioRxiv, 00.
1079Frederiksen, C. A., Waziri, F., Ringgaard, S., Mellemkjær, S., Clemmensen, T. S., Hjortdal, V. E., Nielsen, S. L., & Poulsen, S. H. (2021). Reverse remodeling of tricuspid valve morphology and function in chronic thromboembolic pulmonary hypertension patients following pulmonary thromboendarterectomy: a cardiac magnetic resonance imaging and invasive hemodynamic study. BMC Cardiovascular Disorders, 21(1), 1–10. https://doi.org/10.1186/s12872-021-02248-3
1078Östenson, B., Ostenfeld, E., Evaldsson, A. W., Roijer, A., Bakos, Z., Kanski, M., Heiberg, E., Arheden, H., Borgquist, R., Carlsson, M., Werther-Evaldsson, A., Roijer, A., Bakos, Z., Kanski, M., Heiberg, E., Arheden, H., Borgquist, R., Carlsson, M., Evaldsson, A. W., … Carlsson, M. (2021). Regional contributions to left ventricular stroke volume determined by cardiac magnetic resonance imaging in cardiac resynchronization therapy. BMC Cardiovascular Disorders, 21(1), 1–12. https://doi.org/10.1186/s12872-021-02325-7
1077Kuusisto, J. K., Pöyhönen, P. A. K. K. K., Pirinen, J., Lehmonen, L. J., Räty, H. P., Majander, N. M., Putaala, J., Sinisalo, J., Järvinen, V., Martinez-Majander, N., Putaala, J., Sinisalo, J., & Järvinen, V. (2021). Revisiting left atrial volumetry by magnetic resonance imaging: the role of atrial shape and 3D angle between left ventricular and left atrial axis. BMC Medical Imaging, 21(1), 1–12. https://doi.org/10.1186/s12880-021-00701-5
1076Gonzales, R. A., Seemann, F., Lamy, J., Arvidsson, P. M., Heiberg, E., Murray, V., & Peters, D. C. (2021). Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours. BMC Medical Imaging, 21(1), 1–12. https://doi.org/10.1186/s12880-021-00630-3
1075Bonthrone, A. F., Dimitrova, R., Chew, A., Kelly, C. J., Cordero-Grande, L., Carney, O., Egloff, A., Hughes, E., Vecchiato, K., Simpson, J., Hajnal, J. V., Pushparajah, K., Victor, S., Nosarti, C., Rutherford, M. A., Edwards, A. D., O’Muircheartaigh, J., & Counsell, S. J. (2021). Individualized brain development and cognitive outcome in infants with congenital heart disease. Brain Communications, 3(2), 1–14. https://doi.org/10.1093/braincomms/fcab046
1074Reddy, A., Singh, V., Karthikeyan, B., Jiang, L., Kristo, S., Kattel, S., Amuthan, R., Pokharel, S., & Sharma, U. C. (2021). Biventricular Strain Imaging with Cardiac MRI in Genotyped and Histology Validated Amyloid Cardiomyopathy. Cardiogenetics, 11(3), 98–110. https://doi.org/10.3390/cardiogenetics11030011
1073Tunac, J., Valeriote, F., Media, J., & Knight, R. (2021). Novel Animal Model for Ventricular Ejection Fraction Measured by MRI. Cardiology and Cardiovascular Research, 5(3), 147. https://doi.org/10.11648/j.ccr.20210503.13
1072Shar, J. A., Keswani, S. G., Grande-Allen, K. J., & Sucosky, P. (2021). Computational Assessment of Valvular Dysfunction in Discrete Subaortic Stenosis: A Parametric Study. Cardiovascular Engineering and Technology, 12(6), 559–575. https://doi.org/10.1007/s13239-020-00513-8
1071Wei, Z. A., Si, B., Ge, X., Zhu, M., Cetatoiu, M. A., Tian, C., Sun, L., & Qiao, B. (2021). Is Doppler Echocardiography Adequate for Surgical Planning of Single Ventricle Patients? Cardiovascular Engineering and Technology, 12(6), 606–617. https://doi.org/10.1007/s13239-021-00533-y
1070Verouhis, D., Sörensson, P., Gourine, A., Henareh, L., Persson, J., Saleh, N., Settergren, M., Sundqvist, M., Tengbom, J., Tornvall, P., Witt, N., Böhm, F., & Pernow, J. (2021). Long-term effect of remote ischemic conditioning on infarct size and clinical outcomes in patients with anterior ST-elevation myocardial infarction. Catheterization and Cardiovascular Interventions, 97(3), 386–392. https://doi.org/10.1002/ccd.28760
1069Morciano, G., Pedriali, G., Bonora, M., Pavasini, R., Mikus, E., Calvi, S., Bovolenta, M., Lebiedzinska-Arciszewska, M., Pinotti, M., Albertini, A., Wieckowski, M. R., Giorgi, C., Ferrari, R., Galluzzi, L., Campo, G., & Pinton, P. (2021). A naturally occurring mutation in ATP synthase subunit c is associated with increased damage following hypoxia/reoxygenation in STEMI patients. Cell Reports, 35(2), 108983. https://doi.org/10.1016/j.celrep.2021.108983
1068Houard, L., Amzulescu, M. S., Colin, G., Langet, H., Militaru, S., Rousseau, M. F., Ahn, S. A., Vanoverschelde, J. L. J., Pouleur, A. C., & Gerber, B. L. (2021). Prognostic Value of Pulmonary Transit Time by Cardiac Magnetic Resonance on Mortality and Heart Failure Hospitalization in Patients With Advanced Heart Failure and Reduced Ejection Fraction. Circulation: Cardiovascular Imaging, 14(1), E011680. https://doi.org/10.1161/CIRCIMAGING.120.011680
1067Sepúlveda-Martínez, A., Steding-Ehrenborg, K., Rodríguez-López, M., Ostenfeld, E., Valenzuela-Alcaráz, B., Heiberg, E., Gratacós, E., Prat-González, S., Crispi, F., & Hedström, E. (2021). Atrioventricular plane displacement versus mitral and tricuspid annular plane systolic excursion: A comparison between cardiac magnetic resonance and M-mode echocardiography. Clinical Physiology and Functional Imaging, 41(3), 262–270. https://doi.org/10.1111/cpf.12693
1066Trzebiatowska‐Krzynska, A., Swahn, E., Wallby, L., Nielsen, N. E., Carlhäll, C. J., Engvall, J., Trzebiatowska-Krzynska, A., Swahn, E., Wallby, L., Nielsen, N. E., Carlhäll, C. J., & Engvall, J. (2021). Three-dimensional echocardiography to identify right ventricular dilatation in patients with corrected Fallot anomaly or pulmonary stenosis. Clinical Physiology and Functional Imaging, 41(1), 51–61. https://doi.org/10.1111/cpf.12665
1065Yeganeh, M., Rezvani, M. H., & Laribaghal, S. M. (2021). Jo ur n Pr pr oo. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 127120. https://doi.org/10.1016/j.jocmr.2024.101104
1064Xanthis, C. G., Filos, D., Haris, K., & Aletras, A. H. (2021). Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI. Computer Methods and Programs in Biomedicine, 198. https://doi.org/10.1016/j.cmpb.2020.105817
1063Albatat, M., Arevalo, H., Bergsland, J., Strøm, V., Balasingham, I., & Odland, H. H. (2021). Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis. Computers in Biology and Medicine, 128(September 2020). https://doi.org/10.1016/j.compbiomed.2020.104159
1062Salvador, M., Fedele, M., Africa, P. C., Sung, E., Dede’, L., Prakosa, A., Chrispin, J., Trayanova, N., & Quarteroni, A. (2021). Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia. Computers in Biology and Medicine, 136, 104674. https://doi.org/10.1016/j.compbiomed.2021.104674
1061Laganà, M. M., Jakimovski, D., Bergsland, N., Dwyer, M. G., Baglio, F., & Zivadinov, R. (2021). Measuring aqueduct of sylvius cerebrospinal fluid flow in multiple sclerosis using different software. Diagnostics, 11(2). https://doi.org/10.3390/diagnostics11020325
1060Scorza, R., Jansson, A., Sörensson, P., Rosenqvist, M., & Frykman, V. (2021). Magnetic resonance detects structural heart disease in patients with frequent ventricular ectopy and normal echocardiographic findings. Diagnostics, 11(8). https://doi.org/10.3390/diagnostics11081505
1059Szabó, P. L., Ebner, J., Koenig, X., Hamza, O., Watzinger, S., Trojanek, S., Abraham, D., Todt, H., Kubista, H., Schicker, K., Remy, S., Anegon, I., Kiss, A., Podesser, B. K., & Hilber, K. (2021). Cardiovascular phenotype of the DMDmdx rat – A suitable animal model for Duchenne muscular dystrophy. DMM Disease Models and Mechanisms, 14(2). https://doi.org/10.1242/DMM.047704
1058Kattel, S., Bhatt, H., Gurung, S., Karthikeyan, B., & Sharma, U. C. (2021). Elevated myocardial wall stress after percutaneous coronary intervention in acute ST elevation myocardial infraction is associated with increased mortality. Echocardiography, 38(8), 1263–1271. https://doi.org/10.1111/echo.15131
1057Kharabish, A., Hosny, M., Hassan, M., Mahrous, M. R., Elbayoumy, M., Ahmed, A. E., Deyaa, N., El Mozy, W., & Behairy, N. (2021). Assessment of segmental agreement of T2 mapping versus triple inversion recovery in detection of acute myocardial edema. Egyptian Journal of Radiology and Nuclear Medicine, 52(1). https://doi.org/10.1186/s43055-021-00476-3
1056Daneva, Z., Ottolini, M., Chen, Y. L., Klimentova, E., Kuppusamy, M., Shah, S. A., Minshall, R. D., Seye, C. I., Laubach, V. E., Isakson, B. E., & Sonkusare, S. K. (2021). Endothelial pannexin 1–trpv4 channel signaling lowers pulmonary arterial pressure in mice. ELife, 10. https://doi.org/10.7554/eLife.67777
1055Brundin, M., Wågsäter, D., Alehagen, U., & Carlhäll, C. J. (2021). Circulating microRNA-29-5p can add to the discrimination between dilated cardiomyopathy and ischaemic heart disease. ESC Heart Failure, 8(5), 3865–3874. https://doi.org/10.1002/ehf2.13458
1054Nordén, E. S., Bendiksen, B. A., Andresen, H., Bergo, K. K., Espe, E. K., Hasic, A., Hauge-Iversen, I. M., Veras, I., Hussain, R. I., Sjaastad, I., Christensen, G., & Cataliotti, A. (2021). Sacubitril/valsartan ameliorates cardiac hypertrophy and preserves diastolic function in cardiac pressure overload. ESC Heart Failure, 8(2), 918–927. https://doi.org/10.1002/ehf2.13177
1053Wu, K. C., Haberlen, S. A., Plankey, M. W., Palella, F. J., Piggott, D. A., Kirk, G. D., Margolick, J. B., & Post, W. S. (2021). Human immunodeficiency viral infection and differences in interstitial ventricular fibrosis and left atrial size. European Heart Journal – Cardiovascular Imaging, 22(8), 888–895. https://doi.org/10.1093/ehjci/jeab037
1052Houard, L., Militaru, S., Tanaka, K., Pasquet, A., Vancraeynest, D., Vanoverschelde, J. L., Pouleur, A. C., & Gerber, B. L. (2021). Test-retest reliability of left and right ventricular systolic function by new and conventional echocardiographic and cardiac magnetic resonance parameters. European Heart Journal Cardiovascular Imaging, 22(10), 1157–1167. https://doi.org/10.1093/ehjci/jeaa206
1051Degtiarova, G., Claus, P., Duchenne, J., Bogaert, J., Nuyts, J., Vöros, G., Willems, R., Larsen, C. K., Aalen, J. M., Fjeld, J. G., Stokke, C., Hopp, E., Smiseth, O. A., Voigt, J. U., & Gheysens, O. (2021). Left ventricular regional glucose metabolism in combination with septal scar extent identifies CRT responders. European Journal of Nuclear Medicine and Molecular Imaging, 48(8), 2437–2446. https://doi.org/10.1007/s00259-020-05161-7
1050Lam, H. Van, Groth, M., Mir, T., Bannas, P., Lund, G. K., Jahnke, C. M., Warncke, M., Maas, K.-J., Adam, G., Herrmann, J., & Tahir, E. (2021). Impact of chest wall deformity on cardiac function by CMR and feature-tracking strain analysis in paediatric patients with Marfan syndrome. European Radiology, 31(6), 3973–3982. https://doi.org/10.1007/s00330-020-07616-9
1049Lim, C., Blaszczyk, E., Riazy, L., Wiesemann, S., Schüler, J., von Knobelsdorff-Brenkenhoff, F., & Schulz-Menger, J. (2021). Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software. European Radiology, 31(6), 3962–3972. https://doi.org/10.1007/s00330-020-07539-5
1048Aujla, T., Darby, J. R. T. T., Saini, B. S., Lock, M. C., Holman, S. L., Bradshaw, E. L., Perumal, S. R., McInnes, S. J. P. P., Voelcker, N. H., Wiese, M. D., Macgowan, C. K., Seed, M., & Morrison, J. L. (2021). Impact of resveratrol-mediated increase in uterine artery blood flow on fetal haemodynamics, blood pressure and oxygenation in sheep. Experimental Physiology, 106(5), 1166–1180. https://doi.org/10.1113/EP089237
1047Boumpouli, M., Sauvage, E. L., Capelli, C., Schievano, S., & Kazakidi, A. (2021). Characterization of Flow Dynamics in the Pulmonary Bifurcation of Patients With Repaired Tetralogy of Fallot: A Computational Approach. Frontiers in Cardiovascular Medicine, 8(September). https://doi.org/10.3389/fcvm.2021.703717
1046Zhang, J.-M., Han, H., Tan, R.-S., Chai, P., Fam, J. M., Teo, L., Chin, C. Y., Ong, C. C., Low, R., Chandola, G., Leng, S., Huang, W., Allen, J. C., Baskaran, L., Kassab, G. S., Low, A. F. H., Chan, M. Y.-Y., Chan, K. H., Loh, P. H., … Zhong, L. (2021). Diagnostic Performance of Fractional Flow Reserve From CT Coronary Angiography With Analytical Method. Frontiers in Cardiovascular Medicine, 8(October), 1–12. https://doi.org/10.3389/fcvm.2021.739633
1045Johnston, L., Allen, R., Hall Barrientos, P., Mason, A., & Kazakidi, A. (2021). Hemodynamic Abnormalities in the Aorta of Turner Syndrome Girls. Frontiers in Cardiovascular Medicine, 8(June), 1–18. https://doi.org/10.3389/fcvm.2021.670841
1044Hair, J., Timmins, L., El Sayed, R., Samady, H., & Oshinski, J. (2021). Effect of Patient-Specific Coronary Flow Reserve Values on the Accuracy of MRI-Based Virtual Fractional Flow Reserve. Frontiers in Cardiovascular Medicine, 8(July), 1–9. https://doi.org/10.3389/fcvm.2021.663767
1043Demkes, E. J., Wenker, S., Silvis, M. J. M. M., van Nieuwburg, M. M. J. J., Visser, M. J., Jansen, M. S., Brans, M. A. D. D., Velema, E., Sluijter, J. P. G. G., Hoefer, I. E., de Kleijn, D. P. V. V, Timmers, L., & de Jager, S. C. A. A. (2021). Neutral Effects of Combined Treatment With GLP-1R Agonist Exenatide and MR Antagonist Potassium Canrenoate on Cardiac Function in Porcine and Murine Chronic Heart Failure Models. Frontiers in Pharmacology, 12(July), 1–11. https://doi.org/10.3389/fphar.2021.702326
1042Fan, Y., Coll-Font, J., van den Boomen, M., Kim, J. H., Chen, S., Eder, R. A., Roche, E. T., & Nguyen, C. T. (2021). Characterization of Exercise-Induced Myocardium Growth Using Finite Element Modeling and Bayesian Optimization. Frontiers in Physiology, 12(August), 1–14. https://doi.org/10.3389/fphys.2021.694940
1041Maleckar, M. M., Myklebust, L., Uv, J., Florvaag, P. M., Strøm, V., Glinge, C., Jabbari, R., Vejlstrup, N., Engstrøm, T., Ahtarovski, K., Jespersen, T., Tfelt-Hansen, J., Naumova, V., & Arevalo, H. (2021). Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients. Frontiers in Physiology, 12(November), 1–14. https://doi.org/10.3389/fphys.2021.745349
1040Wenzel, K., Krämer, E., Geertz, B., Carrier, L., Felix, S. B., Könemann, S., & Schlossarek, S. (2021). A Transgenic Mouse Model of Eccentric Left Ventricular Hypertrophy With Preserved Ejection Fraction Exhibits Alterations in the Autophagy-Lysosomal Pathway. Frontiers in Physiology, 12(April), 1–12. https://doi.org/10.3389/fphys.2021.614878
1039Hopper, S. E., Cuomo, F., Ferruzzi, J., Burris, N. S., Roccabianca, S., Humphrey, J. D., & Figueroa, C. A. (2021). Comparative Study of Human and Murine Aortic Biomechanics and Hemodynamics in Vascular Aging. Frontiers in Physiology, 12(October), 1–14. https://doi.org/10.3389/fphys.2021.746796
1038Leong, C. N. C. O. C. N. C. O., Leong, C. N. C. O. C. N. C. O., Liew, Y. M., Al Abed, A., Aziz, Y. F. A., Chee, K. H., Sridhar, G. S., Dokos, S., & Lim, E. (2021). The role of regional myocardial topography post-myocardial infarction on infarct extension. International Journal for Numerical Methods in Biomedical Engineering, 37(8), 1–26. https://doi.org/10.1002/cnm.3501
1037Qi, Y., Dasa, O., Maden, M., Vohra, R., Batra, A., Walter, G., Yarrow, J. F., Aranda, J. M., Raizada, M. K., & Pepine, C. J. (2021). Functional heart recovery in an adult mammal, the spiny mouse. International Journal of Cardiology, 338, 196–203. https://doi.org/10.1016/j.ijcard.2021.06.015
1036Tantawy, S. W., Mohammad, S. A., Osman, A. M., El Mozy, W., & Ibrahim, A. S. (2021). Strain analysis using feature tracking cardiac magnetic resonance (FT-CMR) in the assessment of myocardial viability in chronic ischemic patients. International Journal of Cardiovascular Imaging, 37(2), 587–596. https://doi.org/10.1007/s10554-020-02018-w
1035Sjögren, H., Kjellström, B., Bredfelt, A., Steding-Ehrenborg, K., Rådegran, G., Hesselstrand, R., Arheden, H., & Ostenfeld, E. (2021). Underfilling decreases left ventricular function in pulmonary arterial hypertension. International Journal of Cardiovascular Imaging, 37(5), 1745–1755. https://doi.org/10.1007/s10554-020-02143-6
1034Truedsson, F., Polte, C. L., Gao, S. A., Johnsson, Å. A., Bech-Hanssen, O., & Lagerstrand, K. M. (2021). Importance of complex blood flow in the assessment of aortic regurgitation severity using phase contrast magnetic resonance imaging. International Journal of Cardiovascular Imaging, 37(12), 3561–3572. https://doi.org/10.1007/s10554-021-02341-w
1033Barbosa, M. F., Contti, M. M., de Andrade, L. G. M., Mauricio, A. del C. V., Ribeiro, S. M., & Szarf, G. (2021). Feature-tracking cardiac magnetic resonance left ventricular global longitudinal strain improves 6 months after kidney transplantation associated with reverse remodeling, not myocardial tissue characteristics. International Journal of Cardiovascular Imaging, 37(10), 3027–3037. https://doi.org/10.1007/s10554-021-02284-2
1032Perera‐gonzalez, M., Kiss, A., Kaiser, P., Holzweber, M., Nagel, F., Watzinger, S., Acar, E., Szabo, P. L., Gonçalves, I. F., Weber, L., Pilz, P. M., Budinsky, L., Helbich, T., & Podesser, B. K. (2021). The role of tenascin c in cardiac reverse remodeling following banding–debanding of the ascending aorta. International Journal of Molecular Sciences, 22(4), 1–14. https://doi.org/10.3390/ijms22042023
1031Romano, S., Dell’atti, D., Judd, R. M., Kim, R. J., Weinsaft, J. W., Kim, J., Heitner, J. F., Hahn, R. T., & Farzaneh-Far, A. (2021). Prognostic Value of Feature-Tracking Right Ventricular Longitudinal Strain in Severe Functional Tricuspid Regurgitation: A Multicenter Study. JACC: Cardiovascular Imaging, 14(8), 1561–1568. https://doi.org/10.1016/j.jcmg.2021.02.009
1030Crispi, F., Rodríguez-López, M., Bernardino, G., Sepúlveda-Martínez, Á., Prat-González, S., Pajuelo, C., Perea, R. J., Caralt, M. T., Casu, G., Vellvé, K., Crovetto, F., Burgos, F., De Craene, M., Butakoff, C., González Ballester, M., Blanco, I., Sitges, M., Bijnens, B., & Gratacós, E. (2021). Exercise Capacity in Young Adults Born Small for Gestational Age. JAMA Cardiology, 6(11), 1308–1316. https://doi.org/10.1001/jamacardio.2021.2537
1029Naby, A. R. A. El, Elmasry, M. M., Salama, M. M. A. E., Setiha, M. E. S. El, & Elsheikh, R. G. (2021). Assessment of Myocardial Salvage Index after Primary Percutaneous Intervention of ST Elevation Myocardial Infarction Patients Using Myocardial Magnetic Resonance Imaging Techniques. Journal of Advances in Medicine and Medical Research, 33(19), 126–138. https://doi.org/10.9734/jammr/2021/v33i1931087
1028Steding-Ehrenborg, K., Hedstrom, E., Carlsson, M., Maksuti, E., Broome, M., Ugander, M., Magnusson, M., Smith, J. G., & Arheden, H. (2021). Hydraulic force is a novel mechanism of diastolic function that may contribute to decreased diastolic filling in HFpEF and facilitate filling in HFrEF. Journal of Applied Physiology, 130(4), 993–1000. https://doi.org/10.1152/japplphysiol.00890.2020
1027Bordones-Crom, A., Patnaik, S. S., Menon, P. G., Murali, S., & Finol, E. (2021). Morphological analysis of the right ventricular endocardial wall in pulmonary hypertension. Journal of Biomechanical Engineering, 143(7), 1–8. https://doi.org/10.1115/1.4050457
1026Dimasi, C. G., Lazniewska, J., Plush, S. E., Saini, B. S., Holman, S. L., Cho, S. K. S. S., Wiese, M. D., Sorvina, A., Macgowan, C. K., Seed, M., Brooks, D. A., Morrison, J. L., & Darby, J. R. T. T. (2021). Redox ratio in the left ventricle of the growth restricted fetus is positively correlated with cardiac output. Journal of Biophotonics, 14(12), 1–13. https://doi.org/10.1002/jbio.202100157
1025Hála, P., Neužil, P., Keller, J., Moučka, P., Mudroch, M., Dujka, L., Janotka, M., Žáček, R., Vymazal, J., & Reddy, V. (2021). Quantification of artifacts during cardiac magnetic resonance in patients with leadless Micra pacemakers. Journal of Cardiovascular Electrophysiology, 32(5), 1367–1375. https://doi.org/10.1111/jce.14988
1024Militaru, S., Panovsky, R., Hanet, V., Amzulescu, M. S., Langet, H., Pisciotti, M. M., Pouleur, A. C., Vanoverschelde, J. L. J., & Gerber, B. L. (2021). Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–16. https://doi.org/10.1186/s12968-021-00742-3
1023Fadil, H., Totman, J. J., Hausenloy, D. J., Ho, H. H., Joseph, P., Low, A. F. H., Richards, A. M., Chan, M. Y., & Marchesseau, S. (2021). A deep learning pipeline for automatic analysis of multi-scan cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–13. https://doi.org/10.1186/s12968-020-00695-z
1022Stoeck, C. T., von Deuster, C., Fuetterer, M., Polacin, M., Waschkies, C. F., van Gorkum, R. J. H. H., Kron, M., Fleischmann, T., Cesarovic, N., Weisskopf, M., & Kozerke, S. (2021). Cardiovascular magnetic resonance imaging of functional and microstructural changes of the heart in a longitudinal pig model of acute to chronic myocardial infarction. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–14. https://doi.org/10.1186/s12968-021-00794-5
1021Pewowaruk, R. J., Barton, G. P., Johnson, C., Ralphe, J. C., Francois, C. J., Lamers, L., & Roldán-Alzate, A. (2021). Stent interventions for pulmonary artery stenosis improve bi-ventricular flow efficiency in a swine model. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–11. https://doi.org/10.1186/s12968-021-00709-4
1020Gonzales, R. A., Seemann, F., Lamy, J., Mojibian, H., Atar, D., Erlinge, D., Steding-Ehrenborg, K., Arheden, H., Hu, C., Onofrey, J. A., Peters, D. C., & Heiberg, E. (2021). MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–15. https://doi.org/10.1186/s12968-021-00824-2
1019Mauger, C. A., Govil, S., Chabiniok, R., Gilbert, K., Hegde, S., Hussain, T., McCulloch, A. D., Occleshaw, C. J., Omens, J., Perry, J. C., Pushparajah, K., Suinesiaputra, A., Zhong, L., & Young, A. A. (2021). Right-left ventricular shape variations in tetralogy of Fallot: associations with pulmonary regurgitation. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–14. https://doi.org/10.1186/s12968-021-00780-x
1018Nelsson, A., Kanski, M., Engblom, H., Ugander, M., Carlsson, M., & Arheden, H. (2021). Pulmonary blood volume measured by cardiovascular magnetic resonance: influence of pulmonary transit time methods and left atrial volume. Journal of Cardiovascular Magnetic Resonance, 23(1), 1–11. https://doi.org/10.1186/s12968-021-00809-1
1017Kylkilahti, T. M., Berends, E., Ramos, M., Shanbhag, N. C., Töger, J., Markenroth Bloch, K., & Lundgaard, I. (2021). Achieving brain clearance and preventing neurodegenerative diseases—A glymphatic perspective. Journal of Cerebral Blood Flow and Metabolism, 41(9), 2137–2149. https://doi.org/10.1177/0271678X20982388
1016Barton, G. P., Corrado, P. A., Francois, C. J., Chesler, N. C., Eldridge, M. W., Wieben, O., & Goss, K. N. (2021). Exaggerated cardiac contractile response to hypoxia in adults born preterm. Journal of Clinical Medicine, 10(6), 1–14. https://doi.org/10.3390/jcm10061166
1015Canu, M., Margerit, L., Mekhdoul, I., Broisat, A., Riou, L., Djaileb, L., Charlon, C., Jankowski, A., Magnesa, M., Augier, C., Marlière, S., Salvat, M., Casset, C., Maurin, M., Saunier, C., Fagret, D., Ghezzi, C., Vanzetto, G., & Barone-Rochette, G. (2021). Prognosis of coronary atherosclerotic burden in non-ischemic dilated cardiomyopathies. Journal of Clinical Medicine, 10(10), 1–13. https://doi.org/10.3390/jcm10102183
1014Priya, S., Aggarwal, T., Ward, C., Bathla, G., Jacob, M., Gerke, A., Hoffman, E. A., & Nagpal, P. (2021). Radiomics detection of pulmonary hypertension via texture‐based assessments of cardiac mri: A machine‐learning model comparison—cardiac mri radiomics in pulmonary hypertension. Journal of Clinical Medicine, 10(9). https://doi.org/10.3390/jcm10091921
1013Clarke, G. D. D., Li, J., Kuo, A. H. H., Moody, A. J. J., & Nathanielsz, P. W. W. (2021). Cardiac magnetic resonance imaging: insights into developmental programming and its consequences for aging. Journal of Developmental Origins of Health and Disease, 12(2), 203–219. https://doi.org/10.1017/S2040174420001233
1012Tengbom, J., Cederström, S., Verouhis, D., Böhm, F., Eriksson, P., Folkersen, L., Gabrielsen, A., Jernberg, T., Lundman, P., Persson, J., Saleh, N., Settergren, M., Sörensson, P., Tratsiakovich, Y., Tornvall, P., Jung, C., & Pernow, J. (2021). Arginase 1 is upregulated at admission in patients with ST-elevation myocardial infarction. Journal of Internal Medicine, 290(5), 1061–1070. https://doi.org/10.1111/joim.13358
1011Shaaban, M., Tantawy, S. W., Elkafrawy, F., Romeih, S., & Elmozy, W. (2021). Multiparametric Rest and Dobutamine Stress Magnetic Resonance in Assessment of Myocardial Viability. Journal of Magnetic Resonance Imaging, 54(6), 1773–1781. https://doi.org/10.1002/jmri.27733
1010Goolaub, D. S., Xu, J., Schrauben, E., Sun, L., Roy, C. W., Marini, D., Seed, M., & Macgowan, C. K. (2021). Fetal Flow Quantification in Great Vessels Using Motion-Corrected Radial Phase Contrast MRI: Comparison With Cartesian. Journal of Magnetic Resonance Imaging, 53(2), 540–551. https://doi.org/10.1002/jmri.27334
1009Hedeer, F., Ostenfeld, E., Hedén, B., Prinzen, F. W., Arheden, H., Carlsson, M., & Engblom, H. (2021). To what extent are perfusion defects seen by myocardial perfusion SPECT in patients with left bundle branch block related to myocardial infarction, ECG characteristics, and myocardial wall motion? Journal of Nuclear Cardiology, 28(6), 2910–2922. https://doi.org/10.1007/s12350-020-02180-7
1008Kero, T., Johansson, E., Engström, M., Eggers, K. M., Johansson, L., Ahlström, H., & Lubberink, M. (2021). Evaluation of quantitative CMR perfusion imaging by comparison with simultaneous 15O-water-PET. Journal of Nuclear Cardiology, 28(4), 1252–1266. https://doi.org/10.1007/s12350-019-01810-z
1007Akil, S., Hedeer, F., Oddstig, J., Olsson, T., Jögi, J., Erlinge, D., Carlsson, M., Arheden, H., Hindorf, C., & Engblom, H. (2021). Appropriate coronary revascularization can be accomplished if myocardial perfusion is quantified by positron emission tomography prior to treatment decision. Journal of Nuclear Cardiology, 28(4), 1664–1672. https://doi.org/10.1007/s12350-019-01938-y
1006Ren, J., Darby, J. R. T. T., Lock, M. C., Holman, S. L., Saini, B. S., Bradshaw, E. L., Orgeig, S., Perumal, S. R., Wiese, M. D., Macgowan, C. K., Seed, M., & Morrison, J. L. (2021). Impact of maternal late gestation undernutrition on surfactant maturation, pulmonary blood flow and oxygen delivery measured by magnetic resonance imaging in the sheep fetus. Journal of Physiology, 599(20), 4705–4724. https://doi.org/10.1113/JP281292
1005Tyrankiewicz, U., Kwiatkowski, G., & Chlopicki, S. (2021). Preservation of Left Ventricle Peak and Mean Pulse Flow Blood Velocity Despite Progressive Deterioration of Cardiac Function in a Chronic Heart Failure Murine Model. Journal of Physiology and Pharmacology, 72(4), 595–603. https://doi.org/10.26402/jpp.2021.4.11
1004Namisaki, H., Nabeshima, Y., Kitano, T., Otani, K., & Takeuchi, M. (2021). Prognostic Value of the Right Ventricular Ejection Fraction, Assessed by Fully Automated Three-Dimensional Echocardiography: A Direct Comparison of Analyses Using Right Ventricular–Focused Views versus Apical Four-Chamber Views. Journal of the American Society of Echocardiography, 34(2), 117–126. https://doi.org/10.1016/j.echo.2020.09.016
1003He, Y., Northrup, H., Roy-Chaudhury, P., Cheung, A. K., Berceli, S. A., & Shiu, Y. T. (2021). Analyses of hemodialysis arteriovenous fistula geometric configuration and its associations with maturation and reintervention. Journal of Vascular Surgery, 73(5), 1778–1786.e1. https://doi.org/10.1016/j.jvs.2020.09.033
1002Goolaub, D. S., Marini, D., Seed, M., & Macgowan, C. K. (2021). Human fetal blood flow quantification with magnetic resonance imaging and motion compensation. Journal of Visualized Experiments, 2021(167), 1–13. https://doi.org/10.3791/61953
1001Alabed, S., Saunders, L., Garg, P., Shahin, Y., Alandejani, F., Rolf, A., Puntmann, V. O., Nagel, E., Wild, J. M., Kiely, D. G., & Swift, A. J. (2021). Myocardial T1-mapping and extracellular volume in pulmonary arterial hypertension: A systematic review and meta-analysis. Magnetic Resonance Imaging, 79(November 2020), 66–75. https://doi.org/10.1016/j.mri.2021.03.011
1000Pruitt, A., Rich, A., Liu, Y., Jin, N., Potter, L., Tong, M., Rajpal, S., Simonetti, O., & Ahmad, R. (2021). Fully self-gated whole-heart 4D flow imaging from a 5-minute scan. Magnetic Resonance in Medicine, 85(3), 1222–1236. https://doi.org/10.1002/mrm.28491
999Mariager, C. Ø., Hansen, E. S. S., Bech, S. K., Eiskjær, H., Nielsen, P. F., Ringgaard, S., Kimose, H. H., & Laustsen, C. (2021). Development of a human heart-sized perfusion system for metabolic imaging studies using hyperpolarized [1-13C]pyruvate MRI. Magnetic Resonance in Medicine, 85(6), 3510–3521. https://doi.org/10.1002/mrm.28639
998Liu, X., Kao, E., Haraldsson, H., Ballweber, M., Martin, A., Li, Y., Wang, Y., & Saloner, D. (2021). Identification of intra-individual variation in intracranial arterial flow by MRI and the effect on computed hemodynamic descriptors. Magnetic Resonance Materials in Physics, Biology and Medicine, 34(5), 659–666. https://doi.org/10.1007/s10334-021-00917-0
997Gerach, T., Schuler, S., Fröhlich, J., Lindner, L., Kovacheva, E., Moss, R., Wülfers, E. M., Seemann, G., Wieners, C., & Loewe, A. (2021). Electro-mechanical whole-heart digital twins: A fully coupled multi-physics approach. Mathematics, 9(11), 1–33. https://doi.org/10.3390/math9111247
996Kirkham, A. A., Paterson, D. I., Haykowsky, M. J., Beaudry, R. I., Mackey, J. R., Pituskin, E., Grenier, J. G., & Thompson, R. B. (2021). Aerobic Fitness Is Related to Myocardial Fibrosis Post-Anthracycline Therapy. Medicine and Science in Sports and Exercise, 53(2), 267–274. https://doi.org/10.1249/MSS.0000000000002469
995Grote Beverborg, N., Später, D., Knöll, R., Hidalgo, A., Yeh, S. T., Elbeck, Z., Silljé, H. H. W. W., Eijgenraam, T. R., Siga, H., Zurek, M., Palmér, M., Pehrsson, S., Albery, T., Bomer, N., Hoes, M. F., Boogerd, C. J., Frisk, M., van Rooij, E., Damle, S., … van der Meer, P. (2021). Phospholamban antisense oligonucleotides improve cardiac function in murine cardiomyopathy. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-25439-0
994Cheng, W., Sun, Y., Wu, Q., Ooi, K., Feng, Y., Xia, C., & Zhu, D. (2021). Paraventricular Nucleus P2X7 Receptors Aggravate Acute Myocardial Infarction Injury via ROS-Induced Vasopressin-V1b Activation in Rats. Neuroscience Bulletin, 37(5), 641–656. https://doi.org/10.1007/s12264-021-00641-8
993Kwiatkowski, G., & Kozerke, S. (2021). Quantitative myocardial first-pass perfusion imaging of CO2-induced vasodilation in rats. NMR in Biomedicine, 34(12), 1–12. https://doi.org/10.1002/nbm.4593
992Hughes, E. J., Price, A. N., McCabe, L., Hiscocks, S., Waite, L., Green, E., Hutter, J., Pegoretti, K., Cordero-Grande, L., Edwards, A. D., Hajnal, J. V., & Rutherford, M. A. (2021). The effect of maternal position on venous return for pregnant women during MRI. NMR in Biomedicine, 34(4), 1–11. https://doi.org/10.1002/nbm.4475
991Küstner, T., Bustin, A., Jaubert, O., Hajhosseiny, R., Masci, P. G., Neji, R., Botnar, R., & Prieto, C. (2021). Fully self-gated free-running 3D Cartesian cardiac CINE with isotropic whole-heart coverage in less than 2 min. NMR in Biomedicine, 34(1), 1–13. https://doi.org/10.1002/nbm.4409
990Al-Talabany, S., Mohan, M., Weir-McCall, J., Gandy, S., Singh, J. S. S. S., Mordi, I. R., Baig, F., Maria J Choy, A., George, J., Houston, J. G., Struthers, A. D., Khan, F., & Lang, C. C. (2021). Effect of metformin on epicardial adipose tissue in patients with coronary artery disease without diabetes: A cardiac MRI substudy of the MET-remodel trial. Obesity Medicine, 24(May), 100349. https://doi.org/10.1016/j.obmed.2021.100349
989Pöyhönen, P., Kuusisto, J., Pirinen, J., Räty, H., Lehmonen, L., Paakkanen, R., Martinez-Majander, N., Gerdts, E., Putaala, J., Sinisalo, J., & Järvinen, V. (2021). Right atrium and cryptogenic ischaemic stroke in the young: A case-control study. Open Heart, 8(1), 2–10. https://doi.org/10.1136/openhrt-2021-001596
988Österberg, A. W., Östman-Smith, I., Jablonowski, R., Carlsson, M., Green, H., Gunnarsson, C., Liuba, P., & Fernlund, E. (2021). High ECG Risk-Scores Predict Late Gadolinium Enhancement on Magnetic Resonance Imaging in HCM in the Young. Pediatric Cardiology, 42(3), 492–500. https://doi.org/10.1007/s00246-020-02506-9
987Charest-Pekeski, A. J., Sheta, A., Taniguchi, L., McVey, M. J., Floh, A., Sun, L., Aujla, T., Cho, S. K. S. S., Ren, J., Crawford-Lean, L., Foreman, C., Lim, J. M., Saini, B. S., Estrada, M., Lam, A., Belik, J., Mroczek, D., Quinn, M., Holman, S. L., … Haller, C. (2021). Achieving sustained extrauterine life: Challenges of an artificial placenta in fetal pigs as a model of the preterm human fetus. Physiological Reports, 9(5), 1–20. https://doi.org/10.14814/phy2.14742
986Kirkham, A. A., Goonasekera, M. V., Mattiello, B. C., Grenier, J. G., Haykowsky, M. J., & Thompson, R. B. (2021). Reliability and reproducibility of cardiac MRI quantification of peak exercise function with long-Axis views. PLoS ONE, 16(2 February), 1–12. https://doi.org/10.1371/journal.pone.0245912
985Corrado, P. A., Barton, G. P., Macdonald, J. A., François, C. J., Eldridge, M. W., Goss, K. N., & Wieben, O. (2021). Altered right ventricular filling at four-dimensional flow mri in young adults born prematurely. Radiology: Cardiothoracic Imaging, 3(3). https://doi.org/10.1148/ryct.2021200618
984Priya, S., Aggarwal, T., Ward, C., & Jacob, M. (2021). Cardiac MRI derived radiomics based machine learning (ML) models in identifying pulmonary hypertension (PH) – Impact of segmentation , radiomics side experiments and DAFIT approach on model performance. Research Square, Ml, 1–21.
983Lang, C. I., Vasudevan, P., Döring, P., Gäbel, R., Lemcke, H., Lindner, T., Steinhoff, G., Krause, B. J., Vollmar, B., Meinel, F. G., Yücel, S., Öner, A., Ince, H., & David, R. (2021). Expedient assessment of post-infarct remodeling by native cardiac magnetic resonance imaging in mice. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-91096-4
982Kjeld, T., Møller, J., Fogh, K., Hansen, E. G., Arendrup, H. C., Isbrand, A. B., Zerahn, B., Højberg, J., Ostenfeld, E., Thomsen, H., Gormsen, L. C., & Carlsson, M. (2021). Cardiac hypoxic resistance and decreasing lactate during maximum apnea in elite breath hold divers. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-81797-1
981Priya, S., Aggarwal, T., Ward, C., Bathla, G., Jacob, M., Gerke, A., Hoffman, E. A., & Nagpal, P. (2021). Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models. Scientific Reports, 11(1), 1–13. https://doi.org/10.1038/s41598-021-92155-6
980Kwiatkowski, G., Bar, A., Jasztal, A., & Chłopicki, S. (2021). MRI-based in vivo detection of coronary microvascular dysfunction before alterations in cardiac function induced by short-term high-fat diet in mice. Scientific Reports, 11(1), 1–13. https://doi.org/10.1038/s41598-021-98401-1
979Vach, M., Vogelhuber, J., Weber, M., Sprinkart, A. M., Pieper, C. C., Block, W., Kuetting, D., Attenberger, U. I., & Luetkens, J. A. (2021). Feasibility of CT-derived myocardial strain measurement in patients with advanced cardiac valve disease. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-88294-5
978Moussavi, A., Mißbach, S., Serrano Ferrel, C., Ghasemipour, H., Kötz, K., Drummer, C., Behr, R., Zimmermann, W. H., & Boretius, S. (2021). Comparison of cine and real-time cardiac MRI in rhesus macaques. Scientific Reports, 11(1), 1–12. https://doi.org/10.1038/s41598-021-90106-9
977Polacin, M., Karolyi, M., Eberhard, M., Gotschy, A., Baessler, B., Alkadhi, H., Kozerke, S., & Manka, R. (2021). Segmental strain analysis for the detection of chronic ischemic scars in non-contrast cardiac MRI cine images. Scientific Reports, 11(1), 1–11. https://doi.org/10.1038/s41598-021-90283-7
976Kwiatkowski, G., Bar, A., Jasztal, A., & Chłopicki, S. (2021). OPEN MRI ‑ based in vivo detection of coronary microvascular dysfunction before alterations in cardiac function induced by short ‑ term high ‑ fat diet in mice. Scientific Reports, 1–13. https://doi.org/10.1038/s41598-021-98401-1
975Berg, J., Jablonowski, R., Mohammad, M., Solem, K., Borgquist, R., Ostenfeld, E., Arheden, H., & Carlsson, M. (2021). Ventricular longitudinal shortening is an independent predictor of death in heart failure patients with reduced ejection fraction. Scientific Reports, 11(1), 1–13. https://doi.org/10.1038/s41598-021-99613-1
974Fanjul, V., Jorge, I., Camafeita, E., Macías, Á., González‐Gómez, C., Barettino, A., Dorado, B., Andrés‐Manzano, M. J., Rivera‐Torres, J., Vázquez, J., López‐Otín, C., Andrés, V., González-Gómez, C., Barettino, A., Dorado, B., Andrés-Manzano, M. J., Rivera-Torres, J., Vázquez, J., López-Otín, C., & Andrés, V. (2020). Identification of common cardiometabolic alterations and deregulated pathways in mouse and pig models of aging. Aging Cell, 19(9), 1–17. https://doi.org/10.1111/acel.13203
973Gottwald, L. M. L. M., Töger, J., Markenroth Bloch, K., Peper, E. S. S., Coolen, B. F. F., Strijkers, G. J. J., Van Ooij, P., & Nederveen, A. J. J. (2020). High spatiotemporal resolution 4D flow MRI of intracranial aneurysms at 7T in 10 minutes. American Journal of Neuroradiology, 41(7), 1201–1208. https://doi.org/10.3174/ajnr.A6603
972Zhang, J. M., Chandola, G., Tan, R. S., Chai, P., Teo, L. L. S. S., Low, R., Allen, J. C., Huang, W., Fam, J. M., Chin, C. Y., Wong, A. S. L., Low, A. F., Kassab, G. S., Chua, T., Tan, S. Y., Lim, S. T., & Zhong, L. (2020). Quantification of effects of mean blood pressure and left ventricular mass on noninvasive fast fractional flow reserve. American Journal of Physiology – Heart and Circulatory Physiology, 319(2), H360–H369. https://doi.org/10.1152/ajpheart.00135.2020
971Mulchrone, A., Bellofiore, A., Douwes, J. M., Duong, N., Beshish, A. G., Barto, G. P., Francois, C. J., Eldridge, M. W., Goss, K. N., & Chesler, N. C. (2020). Impaired right ventricular-vascular coupling in young adults born preterm. American Journal of Respiratory and Critical Care Medicine, 201(5), 615–618. https://doi.org/10.1164/rccm.201904-0767LE
970Wei, Z., Singh-Gryzbon, S., Trusty, P. M., Huddleston, C., Zhang, Y., Fogel, M. A., Veneziani, A., & Yoganathan, A. P. (2020). Non-Newtonian Effects on Patient-Specific Modeling of Fontan Hemodynamics. Annals of Biomedical Engineering, 48(8), 2204–2217. https://doi.org/10.1007/s10439-020-02527-8
969Deyranlou, A., Naish, J. H., Miller, C. A., Revell, A., & Keshmiri, A. (2020). Numerical Study of Atrial Fibrillation Effects on Flow Distribution in Aortic Circulation. Annals of Biomedical Engineering, 48(4), 1291–1308. https://doi.org/10.1007/s10439-020-02448-6
968Winter, M. P., Sharma, S., Altmann, J., Seidl, V., Panzenböck, A., Alimohammadi, A., Zelniker, T., Redwan, B., Nagel, F., Santer, D., Stieglbauer, A., Podesser, B., Sibilia, M., Helbich, T., Prager, G., Ilhan-Mutlu, A., Preusser, M., & Lang, I. M. (2020). Interruption of vascular endothelial growth factor receptor 2 signaling induces a proliferative pulmonary vasculopathy and pulmonary hypertension. Basic Research in Cardiology, 115(6), 1–17. https://doi.org/10.1007/s00395-020-0811-5
967Tamayo, M., Fulgencio-Covián, A., Navarro-García, J. A., Val-Blasco, A., Ruiz-Hurtado, G., Gil-Fernández, M., Martín-Nunes, L., Lopez, J. A., Desviat, L. R., Delgado, C., Richard, E., & Fernández-Velasco, M. (2020). Intracellular calcium mishandling leads to cardiac dysfunction and ventricular arrhythmias in a mouse model of propionic acidemia. Biochimica et Biophysica Acta – Molecular Basis of Disease, 1866(1), 165586. https://doi.org/10.1016/j.bbadis.2019.165586
966Mendieta, J. B., Fontanarosa, D., Wang, J., Paritala, P. K., McGahan, T., Lloyd, T., & Li, Z. (2020). The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries. Biomechanics and Modeling in Mechanobiology, 19(5), 1477–1490. https://doi.org/10.1007/s10237-019-01282-7
965Evaldsson, A. W., Lindholm, A., Jumatate, R., Ingvarsson, A., Smith, G. J., Waktare, J., Rådegran, G., Roijer, A., Meurling, C., & Ostenfeld, E. (2020). Right ventricular function parameters in pulmonary hypertension: Echocardiography vs. cardiac magnetic resonance. BMC Cardiovascular Disorders, 20(1), 1–12. https://doi.org/10.1186/s12872-020-01548-4
964Pahlm, U., Ostenfeld, E., Seemann, F., Engblom, H., Erlinge, D., Heiberg, E., Arheden, H., & Carlsson, M. (2020). Evolution of left ventricular function among subjects with ST-elevation myocardial infarction after percutaneous coronary intervention. BMC Cardiovascular Disorders, 20(1), 1–11. https://doi.org/10.1186/s12872-020-01540-y
963Mokhtari, A., Akbarzadeh, M., Sparv, D., Bhiladvala, P., Arheden, H., Erlinge, D., & Khoshnood, A. (2020). Oxygen therapy in patients with ST elevation myocardial infarction based on the culprit vessel: Results from the randomized controlled SOCCER trial. BMC Emergency Medicine, 20(1), 1–10. https://doi.org/10.1186/s12873-020-00309-y
962Markenroth Bloch, K., Kording, F., & Töger, J. (2020). Doppler ultrasound cardiac gating of intracranial flow at 7T. BMC Medical Imaging, 20(1), 1–10. https://doi.org/10.1186/s12880-020-00523-x
961Lehmonen, L., Lehmonen, L., Jalanko, M., Tarkiainen, M., Kaasalainen, T., Kuusisto, J., Lauerma, K., Savolainen, S., & Savolainen, S. (2020). Rotation and torsion of the left ventricle with cardiovascular magnetic resonance tagging: Comparison of two analysis methods. BMC Medical Imaging, 20(1), 1–8. https://doi.org/10.1186/s12880-020-00473-4
960Tamayo, M., Martín-Nunes, L., Val-Blasco, A., Maria, M. J., Navarro-García, J. A., Lage, E., Prieto, P., Ruiz-Hurtado, G., Fernández-Velasco, M., & Delgado, C. (2020). Beneficial effects of paricalcitol on cardiac dysfunction and remodelling in a model of established heart failure. British Journal of Pharmacology, 177(14), 3273–3290. https://doi.org/10.1111/bph.15048
959Chaudhry, U., Cortez, D., Platonov, P. G., Carlson, J., & Borgquist, R. (2020). Vectorcardiography Findings Are Associated with Recurrent Ventricular Arrhythmias and Mortality in Patients with Heart Failure Treated with Implantable Cardioverter-Defibrillator Device. Cardiology (Switzerland), 145(12), 784–794. https://doi.org/10.1159/000509766
958MacDonald, C. J., Hellmuth, R., Priba, L., Murphy, E., Gandy, S., Matthew, S., Ross, R., & Houston, J. G. (2020). Experimental Assessment of Two Non-Contrast MRI Sequences Used for Computational Fluid Dynamics: Investigation of Consistency Between Techniques. Cardiovascular Engineering and Technology, 11(4), 416–430. https://doi.org/10.1007/s13239-020-00473-z
957Fanni, B. M., Sauvage, E., Celi, S., Norman, W., Vignali, E., Landini, L., Schievano, S., Positano, V., & Capelli, C. (2020). A Proof of Concept of a Non-Invasive Image-Based Material Characterization Method for Enhanced Patient-Specific Computational Modeling. Cardiovascular Engineering and Technology, 11(5), 532–543. https://doi.org/10.1007/s13239-020-00479-7
956Gyöngyösi, M., Lukovic, D., Zlabinger, K., Spannbauer, A., Gugerell, A., Pavo, N., Traxler, D., Pils, D., Maurer, G., Jakab, A., Riesenhuber, M., Pircher, A., Winkler, J., & Bergler-Klein, J. (2020). Liposomal doxorubicin attenuates cardiotoxicity via induction of interferon-related DNA damage resistance. Cardiovascular Research, 116(5), 970–982. https://doi.org/10.1093/cvr/cvz192
955Samarai, D., Ingemansson, S. L., Gustafsson, R., Thilén, U., & Hlebowicz, J. (2020). Global longitudinal strain correlates to systemic right ventricular function. Cardiovascular Ultrasound, 18(1), 1–6. https://doi.org/10.1186/s12947-020-0186-7
954Rhee, J. W., Yi, H., Thomas, D., Lam, C. K., Belbachir, N., Tian, L., Qin, X., Malisa, J., Lau, E., Paik, D. T., Kim, Y., Choi, B. S. H., Sayed, N., Sallam, K., Liao, R., & Wu, J. C. (2020). Modeling Secondary Iron Overload Cardiomyopathy with Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. Cell Reports, 32(2), 107886. https://doi.org/10.1016/j.celrep.2020.107886
953Vasudevan, P., Wolfien, M., Lemcke, H., Lang, C. I., Skorska, A., Gaebel, R., Koczan, D., Lindner, T., Engelmann, R., Vollmar, B., Krause, B. J., Wolkenhauer, O., Lang, H., Steinhoff, G., & David, R. (2020). Cardiomyocyte Transplantation after Myocardial Infarction Alters the Immune Response in the Heart. Cells, 9(8), 1–18. https://doi.org/10.3390/cells9081825
952Lang, C. I., Döring, P., Gäbel, R., Vasudevan, P., Lemcke, H., Müller, P., Stenzel, J., Lindner, T., Joksch, M., Kurth, J., Bergner, C., Wester, H. J., Ince, H., Steinhoff, G., Vollmar, B., David, R., & Krause, B. J. (2020). 68Ga]-NODAGA-RGD Positron Emission Tomography (PET) for Assessment of Post Myocardial Infarction Angiogenesis as a Predictor for Left Ventricular Remodeling in Mice after Cardiac Stem Cell Therapy. Cells, 9(6). https://doi.org/10.3390/cells9061358
951Xiao, L., Salem, J. E., Clauss, S., Hanley, A., Bapat, A., Hulsmans, M., Iwamoto, Y., Wojtkiewicz, G., Cetinbas, M., Schloss, M. J., Tedeschi, J., Lebrun-Vignes, B., Lundby, A., Sadreyev, R. I., Moslehi, J., Nahrendorf, M., Ellinor, P. T., & Milan, D. J. (2020). Ibrutinib-Mediated Atrial Fibrillation Attributable to Inhibition of C-Terminal Src Kinase. Circulation, 142(25), 2443–2455. https://doi.org/10.1161/CIRCULATIONAHA.120.049210
950Paknezhad, M., Brown, M. S., & Marchesseau, S. (2020). Improved tagged cardiac MRI myocardium strain analysis by leveraging cine segmentation. Computer Methods and Programs in Biomedicine, 184. https://doi.org/10.1016/j.cmpb.2019.105128
949Albatat, M., Bergsland, J., Arevalo, H., Odland, H. H., Wall, S., Sundnes, J., & Balasingham, I. (2020). Multisite pacing and myocardial scars: a computational study. Computer Methods in Biomechanics and Biomedical Engineering, 23(6), 248–260. https://doi.org/10.1080/10255842.2020.1711885
948Wilson, K. D., Ameen, M., Guo, H., Abilez, O. J., Tian, L., Mumbach, M. R., Diecke, S., Qin, X., Liu, Y., Yang, H., Ma, N., Gaddam, S., Cunningham, N. J., Gu, M., Neofytou, E., Prado, M., Hildebrandt, T. B., Karakikes, I., Chang, H. Y., & Wu, J. C. (2020). Endogenous Retrovirus-Derived lncRNA BANCR Promotes Cardiomyocyte Migration in Humans and Non-human Primates. Developmental Cell, 54(6), 694–709.e9. https://doi.org/10.1016/j.devcel.2020.07.006
947Guo, H., Karakikes, I., Chang, H. Y., Wu, J. C., Wilson, K. D., Ameen, M., Guo, H., Abilez, O. J., Tian, L., & Mumbach, M. R. (2020). Article Endogenous Retrovirus-Derived lncRNA BANCR Promotes Cardiomyocyte Migration in Humans and Non-human Primates ll Article Endogenous Retrovirus-Derived lncRNA BANCR Promotes Cardiomyocyte Migration in Humans and Non-human Primates. Developmental Cell, 54(6), 694–709.e9. https://doi.org/10.1016/j.devcel.2020.07.006
946Charles, C. J., Lee, P., Li, R. R., Yeung, T., Ibraham Mazlan, S. M., Tay, Z. W., Abdurrachim, D., Teo, X. Q., Wang, W. H., de Kleijn, D. P. V. V, Cozzone, P. J., Lam, C. S. P. P., & Richards, A. M. (2020). A porcine model of heart failure with preserved ejection fraction: magnetic resonance imaging and metabolic energetics. ESC Heart Failure, 7(1), 92–102. https://doi.org/10.1002/ehf2.12536
945Hedström, E., Bredfelt, A., Rådegran, G., Arheden, H., & Ostenfeld, E. (2020). Risk assessment in PAH using quantitative CMR tricuspid regurgitation: relation to heart catheterization. ESC Heart Failure, 7(4), 1653–1663. https://doi.org/10.1002/ehf2.12720
944Bucius, P., Erley, J., Tanacli, R., Zieschang, V., Giusca, S., Korosoglou, G., Steen, H., Stehning, C., Pieske, B., Pieske-Kraigher, E., Schuster, A., Lapinskas, T., & Kelle, S. (2020). Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain. ESC Heart Failure, 7(2), 523–532. https://doi.org/10.1002/ehf2.12576
943Santer, D., Nagel, F., Gonçalves, I. F., Kaun, C., Wojta, J., Fagyas, M., Krššák, M., Balogh, Á., Papp, Z., Tóth, A., Bánhegyi, V., Trescher, K., Kiss, A., & Podesser, B. K. (2020). Tenascin-C aggravates ventricular dilatation and angiotensin-converting enzyme activity after myocardial infarction in mice. ESC Heart Failure, 7(5), 2113–2122. https://doi.org/10.1002/ehf2.12794
942Hess, A., Derlin, T., Koenig, T., Diekmann, J., Wittneben, A., Wang, Y., Wester, H. J., Ross, T. L., Wollert, K. C., Bauersachs, J., Bengel, F. M., & Thackeray, J. T. (2020). Molecular imaging-guided repair after acute myocardial infarction by targeting the chemokine receptor CXCR4. European Heart Journal, 41(37), 3564–3575. https://doi.org/10.1093/eurheartj/ehaa598
941Otani, K., Nabeshima, Y., Kitano, T., & Takeuchi, M. (2020). Accuracy of fully automated right ventricular quantification software with 3D echocardiography: Direct comparison with cardiac magnetic resonance and semi-automated quantification software. European Heart Journal Cardiovascular Imaging, 21(7), 787–795. https://doi.org/10.1093/ehjci/jez236
940Lindow, T., Pahlm, O., Olson, C. W., Khoshnood, A., Ekelund, U., Carlsson, M., Swenne, C. A., Man, S., & Engblom, H. (2020). Diagnostic Accuracy Of The Electrocardiographic Decision Support – Myocardial Ischaemia (EDS-MI) Algorithm In Detection Of Acute Coronary Occlusion. European Heart Journal: Acute Cardiovascular Care, 9(1_suppl), 13–25. https://doi.org/10.1177/2048872618768081
939Rodrigues, J. C. L. L., Strelko, G., Warnert, E. A. H. H., Burchell, A. E., Neumann, S., Ratcliffe, L. E. K. K., Harris, A. D., Chant, B., Bowles, R., Nightingale, A. K., Wise, R. G., Paton, J. F. R. R., & Hart, E. C. (2020). Retrograde blood flow in the internal jugular veins of humans with hypertension may have implications for cerebral arterial blood flow. European Radiology, 30(7), 3890–3899. https://doi.org/10.1007/s00330-020-06752-6
938Jakimovski, D., Zivadinov, R., Weinstock-Guttman, B., Bergsland, N., Dwyer, M. G., & Lagana, M. M. (2020). Longitudinal analysis of cerebral aqueduct flow measures: Multiple sclerosis flow changes driven by brain atrophy. Fluids and Barriers of the CNS, 17(1), 1–9. https://doi.org/10.1186/s12987-020-0172-3
937Conley, A. C., Karayanidis, F., Jolly, T. A. D. D., Yang, M. H., & Hsieh, S. (2020). Cerebral Arterial Pulsatility and Global White Matter Microstructure Impact Spatial Working Memory in Older Adults With and Without Cardiovascular Risk Factors. Frontiers in Aging Neuroscience, 12(August), 1–10. https://doi.org/10.3389/fnagi.2020.00245
936Shar, J. A., Brown, K. N., Keswani, S. G., Grande-Allen, J., & Sucosky, P. (2020). Impact of Aortoseptal Angle Abnormalities and Discrete Subaortic Stenosis on Left-Ventricular Outflow Tract Hemodynamics: Preliminary Computational Assessment. Frontiers in Bioengineering and Biotechnology, 8(February), 1–14. https://doi.org/10.3389/fbioe.2020.00114
935Charles, C. J., Li, R. R., Yeung, T., Mazlan, S. M. I., Lai, R. C., Dekleijn, D. P. V. V, Lim, S., & Richards, A. M. (2020). Systemic mesenchymal stem cell-derived exosomes reduce myocardial infarct size: Characterization with MRI in a porcine model. Frontiers in Cardiovascular Medicine, 7(November), 1–12. https://doi.org/10.3389/fcvm.2020.601990
934Sundin, J., Engvall, J., Nylander, E., Ebbers, T., Bolger, A. F., & Carlhäll, C. J. (2020). Improved Efficiency of Intraventricular Blood Flow Transit Under Cardiac Stress: A 4D Flow Dobutamine CMR Study. Frontiers in Cardiovascular Medicine, 7(November), 1–10. https://doi.org/10.3389/fcvm.2020.581495
933Sakly, H., Said, M., & Tagina, M. (2020). Evaluation of the active contour and topographic watershed segmentation “assessment of the systolic ejection fraction in the left ventricular for medical assistance in 5D short axis cine MRI.” Heliyon, 6(11), e05547. https://doi.org/10.1016/j.heliyon.2020.e05547
932Hussein, A., Matthews, J. L., Syme, C., Macgowan, C., MacIntosh, B. J., Shirzadi, Z., Pausova, Z., Paus, T., & Chen, J. J. (2020). The association between resting-state functional magnetic resonance imaging and aortic pulse-wave velocity in healthy adults. Human Brain Mapping, 41(8), 2121–2135. https://doi.org/10.1002/hbm.24934
931Kropidlowski, C., Meier-Schroers, M., Kuetting, D., Sprinkart, A., Schild, H., Thomas, D., & Homsi, R. (2020). CMR based measurement of aortic stiffness, epicardial fat, left ventricular myocardial strain and fibrosis in hypertensive patients. IJC Heart and Vasculature, 27, 100477. https://doi.org/10.1016/j.ijcha.2020.100477
930Leong, C. N., Dokos, S., Andriyana, A., Liew, Y. M., Chan, B. T., Abdul Aziz, Y. F., Chee, K. H., Sridhar, G. S., & Lim, E. (2020). The role of end-diastolic myocardial fibre stretch on infarct extension. International Journal for Numerical Methods in Biomedical Engineering, 36(1), 1–17. https://doi.org/10.1002/cnm.3291
929Scally, C., Choo, W. K., Rudd, A., Neil, C., Siddiqi, N., Mezincescu, A. M., Wilson, H. M., Frenneaux, M., Horgan, G., Broadhurst, P., & Dawson, D. K. (2020). The early dynamic of ECG in Takotsubo syndrome presenting with ST-elevation: A comparison with age and gender-matched ST-elevation myocardial infarction. International Journal of Cardiology, 320, 7–11. https://doi.org/10.1016/j.ijcard.2020.07.025
928Polaková, E., Liebregts, M., Marková, N., Adla, T., Kara, B., ten Berg, J., Bonaventura, J., & Veselka, J. (2020). Effectiveness of alcohol septal ablation for hypertrophic obstructive cardiomyopathy in patients with late gadolinium enhancement on cardiac magnetic resonance. International Journal of Cardiology, 319, 101–105. https://doi.org/10.1016/j.ijcard.2020.06.049
927Waziri, F., Ringgaard, S., Mellemkjær, S., Bøgh, N., Kim, W. Y., Clemmensen, T. S., Hjortdal, V. E., Nielsen, S. L., & Poulsen, S. H. (2020). Long-term changes of right ventricular myocardial deformation and remodeling studied by cardiac magnetic resonance imaging in patients with chronic thromboembolic pulmonary hypertension following pulmonary thromboendarterectomy. International Journal of Cardiology, 300, 282–288. https://doi.org/10.1016/j.ijcard.2019.09.038
926Starekova, J., Thottakara, T., Lund, G. K., Welsch, G. H., Brunner, F. J., Muellerleile, K., Adam, G., Regier, M., & Tahir, E. (2020). Increased myocardial mass and attenuation of myocardial strain in professional male soccer players and competitive male triathletes. International Journal of Cardiovascular Imaging, 36(11), 2187–2197. https://doi.org/10.1007/s10554-020-01918-1
925Jóhannesson, G., Qvarlander, S., Wåhlin, A., Ambarki, K., Hallberg, P., Eklund, A., & Lindén, C. (2020). Intraocular Pressure Decrease Does Not Affect Blood Flow Rate of Ophthalmic Artery in Ocular Hypertension. Investigative Opthalmology & Visual Science, 61(12), 17. https://doi.org/10.1167/iovs.61.12.17
924Lotfi, M., Rouhezamin, M. R., Bijan, B., Sefidbakht, S., Karimi, M., & Dehdashtiyan, A. (2020). Water only sequence: an accurate method to estimate hepatic siderosis in patients with thalassemia major and intermedia. Iranian Journal of Radiology, 17(2). https://doi.org/10.5812/iranjradiol.96811
923Shenoy, C., Romano, S., Hughes, A., Okasha, O., Nijjar, P. S., Velangi, P., Martin, C. M., Akçakaya, M., & Farzaneh-Far, A. (2020). Cardiac Magnetic Resonance Feature Tracking Global Longitudinal Strain and Prognosis After Heart Transplantation. JACC: Cardiovascular Imaging, 13(9), 1934–1942. https://doi.org/10.1016/j.jcmg.2020.04.004
922Tahir, E., Fischer, R., Grosse, R., Tavrovski, P., Yamamura, J., Starekova, J., Lund, G. K., Bannas, P., Graessner, J., Radunski, U. K., Muellerleile, K., Adam, G., & Schoennagel, B. P. (2020). Strain Analysis Using Feature-Tracking CMR to Detect LV Systolic Dysfunction in Myocardial Iron Overload Disease. JACC: Cardiovascular Imaging, 13(10), 2267–2268. https://doi.org/10.1016/j.jcmg.2020.05.026
921Ramos, J. G., Fyrdahl, A., Wieslander, B., Thalén, S., Reiter, G., Reiter, U., Jin, N., Maret, E., Eriksson, M., Caidahl, K., Sörensson, P., Sigfridsson, A., & Ugander, M. (2020). Comprehensive Cardiovascular Magnetic Resonance Diastolic Dysfunction Grading Shows Very Good Agreement Compared With Echocardiography. JACC: Cardiovascular Imaging, 13(12), 2530–2542. https://doi.org/10.1016/j.jcmg.2020.06.027
920Goss, K. N., Haraldsdottir, K., Beshish, A. G., Barton, G. P., Watson, A. M., Palta, M., Chesler, N. C., Francois, C. J., Wieben, O., & Eldridge, M. W. (2020). Association between Preterm Birth and Arrested Cardiac Growth in Adolescents and Young Adults. JAMA Cardiology, 5(8), 910–919. https://doi.org/10.1001/jamacardio.2020.1511
919Seemann, F., Berg, J., Solem, K., Jablonowski, R., Arheden, H., Carlsson, M., & Heiberg, E. (2020). Quantification of left ventricular contribution to stroke work by longitudinal and radial force-length loops. Journal of Applied Physiology, 129(4), 880–890. https://doi.org/10.1152/japplphysiol.00198.2020
918Al-Mashat, M., Jögi, J., Carlsson, M., Borgquist, R., Ostenfeld, E., Magnusson, M., Bachus, E., Rådegran, G., Arheden, H., & Kanski, M. (2020). Increased pulmonary blood volume variation in patients with heart failure compared to healthy controls: A noninvasive, quantitative measure of heart failure. Journal of Applied Physiology, 128(2), 324–337. https://doi.org/10.1152/japplphysiol.00507.2019
917Berg, J., Jablonowski, R., Nordlund, D., Kopic, S., Bidhult, S., Xanthis, C. G., Saeed, M., Solem, K., Arheden, H., & Carlsson, M. (2020). Decreased atrioventricular plane displacement after acute myocardial infarction yields a concomitant decrease in stroke volume. Journal of Applied Physiology (Bethesda, Md. : 1985), 128(2), 252–263. https://doi.org/10.1152/japplphysiol.00480.2019
916Estrada, A. C., Yoshida, K., Clarke, S. A., & Holmes, J. W. (2020). Longitudinal Reinforcement of Acute Myocardial Infarcts Improves Function by Transmurally Redistributing Stretch and Stress. Journal of Biomechanical Engineering, 142(2), 1–10. https://doi.org/10.1115/1.4044030
915Phung, T. K. N., Waters, C. D., & Holmes, J. W. (2020). Open-Source Routines for Building Personalized Left Ventricular Models from Cardiac Magnetic Resonance Imaging Data. Journal of Biomechanical Engineering, 142(2), 1–6. https://doi.org/10.1115/1.4043876
914Trusty, P. M., Alan Wei, Z., Fogel, M. A., Maher, K., Deshpande, S. R., & Yoganathan, A. P. (2020). Computational modeling of a right-sided Fontan assist device: Effectiveness across patient anatomies and cannulations. Journal of Biomechanics, 109, 109917. https://doi.org/10.1016/j.jbiomech.2020.109917
913Kihlberg, J., Gupta, V., Haraldsson, H., Sigfridsson, A., Sarvari, S. I., Ebbers, T., & Engvall, J. E. (2020). Clinical validation of three cardiovascular magnetic resonance techniques to measure strain and torsion in patients with suspected coronary artery disease. Journal of Cardiovascular Magnetic Resonance, 22(1), 1–11. https://doi.org/10.1186/s12968-020-00684-2
912Wei, Z. A., Trusty, P. M., Zhang, Y., Tang, E., Whitehead, K. K., Fogel, M. A., & Yoganathan, A. P. (2020). Impact of Free-Breathing Phase-Contrast MRI on Decision-Making in Fontan Surgical Planning. Journal of Cardiovascular Translational Research, 13(4), 640–647. https://doi.org/10.1007/s12265-019-09930-0
911Vikner, T., Nyberg, L., Holmgren, M., Malm, J., Eklund, A., & Wåhlin, A. (2020). Characterizing pulsatility in distal cerebral arteries using 4D flow MRI. Journal of Cerebral Blood Flow and Metabolism, 40(12), 2429–2440. https://doi.org/10.1177/0271678X19886667
910Unnerbäck, M., Ottesen, J. T., & Reinstrup, P. (2020). Validation of a mathematical model for understanding intracranial pressure curve morphology. Journal of Clinical Monitoring and Computing, 34(3), 469–481. https://doi.org/10.1007/s10877-019-00342-8
909Castelhano, J., Ribeiro, B., Sanches, M., Graça, B., Saraiva, J., Oliveiros, B., Neves, C., Rodrigues, T., Sereno, J., Gonçalves, S., Ferreira, M. J., Seiça, R., Matafome, P., & Castelo-Branco, M. (2020). A rat model of enhanced glycation mimics cardiac phenotypic components of human type 2 diabetes : A translational study using MRI. Journal of Diabetes and Its Complications, 34(5). https://doi.org/10.1016/j.jdiacomp.2020.107554
908Wang, Y., Liao, Z., Mathieu, S., & Tu, X. (2020). Jo ur n al Pr pr oo. Journal of Hazardous Materials, 123965. https://doi.org/10.1016/j.jocmr.2024.101094
907Viola, F., Dyverfeldt, P., Carlhäll, C. J., & Ebbers, T. (2020). Data Quality and Optimal Background Correction Order of Respiratory-Gated k-Space Segmented Spoiled Gradient Echo (SGRE) and Echo Planar Imaging (EPI)-Based 4D Flow MRI. Journal of Magnetic Resonance Imaging, 51(3), 885–896. https://doi.org/10.1002/jmri.26879
906Holmgren, M., Wåhlin, A., Dunås, T., Malm, J., & Eklund, A. (2020). Assessment of Cerebral Blood Flow Pulsatility and Cerebral Arterial Compliance With 4D Flow MRI. Journal of Magnetic Resonance Imaging, 51(5), 1516–1525. https://doi.org/10.1002/jmri.26978
905Seemann, F., Heiberg, E., Carlsson, M., Gonzales, R. A., Baldassarre, L. A., Qiu, M., & Peters, D. C. (2020). Valvular imaging in the era of feature-tracking: A slice-following cardiac MR sequence to measure mitral flow. Journal of Magnetic Resonance Imaging, 51(5), 1412–1421. https://doi.org/10.1002/jmri.26971
904Haris, K., Hedström, E., Kording, F., Bidhult, S., Steding-Ehrenborg, K., Ruprecht, C., Heiberg, E., Arheden, H., & Aletras, A. H. (2020). Free-breathing fetal cardiac MRI with doppler ultrasound gating, compressed sensing, and motion compensation. Journal of Magnetic Resonance Imaging, 51(1), 260–272. https://doi.org/10.1002/jmri.26842
903Hess, A., Nekolla, S. G., Meier, M., Bengel, F. M., & Thackeray, J. T. (2020). Accuracy of cardiac functional parameters measured from gated radionuclide myocardial perfusion imaging in mice. Journal of Nuclear Cardiology, 27(4), 1317–1327. https://doi.org/10.1007/s12350-019-01713-z
902Akil, S., Hedeer, F., Carlsson, M., Arheden, H., Oddstig, J., Hindorf, C., Jögi, J., Erlinge, D., & Engblom, H. (2020). Qualitative assessments of myocardial ischemia by cardiac MRI and coronary stenosis by invasive coronary angiography in relation to quantitative perfusion by positron emission tomography in patients with known or suspected stable coronary artery disease. Journal of Nuclear Cardiology, 27(6), 2351–2359. https://doi.org/10.1007/s12350-018-01555-1
901Lloyd, R. A., Butler, J. E., Gandevia, S. C., Ball, I. K., Toson, B., Stoodley, M. A., & Bilston, L. E. (2020). Respiratory cerebrospinal fluid flow is driven by the thoracic and lumbar spinal pressures. Journal of Physiology, 598(24), 5789–5805. https://doi.org/10.1113/JP279458
900Cho, S. K. S. S., Darby, J. R. T. T., Saini, B. S., Lock, M. C., Holman, S. L., Lim, J. M., Perumal, S. R., Macgowan, C. K., Morrison, J. L., & Seed, M. (2020). Feasibility of ventricular volumetry by cardiovascular MRI to assess cardiac function in the fetal sheep. Journal of Physiology, 598(13), 2557–2573. https://doi.org/10.1113/JP279054
899Binka, E., Zhang, J., Seemann, F., Carlsson, M., Jani, V., Lima, J. A. C. C., Venkatesh, B. A., Barnes, B., & Kutty, S. (2020). Noninvasive Pressure-Volume Loop Analysis Demonstrates Changes in Ventricular Contractility, Efficiency and Power in Tetralogy of Fallot After Pulmonary Valve Replacement. Journal of the American College of Cardiology, 75(11), 1791. https://doi.org/10.1016/s0735-1097(20)32418-9
898Lejeune, S., Roy, C., Ciocea, V., Slimani, A., de Meester, C., Amzulescu, M., Pasquet, A., Vancraeynest, D., Beauloye, C., Vanoverschelde, J. L., Gerber, B. L., & Pouleur, A. C. (2020). Right Ventricular Global Longitudinal Strain and Outcomes in Heart Failure with Preserved Ejection Fraction. Journal of the American Society of Echocardiography, 33(8), 973–984.e2. https://doi.org/10.1016/j.echo.2020.02.016
897Trusty, P. M., Wei, Z., Sales, M., Kanter, K. R., Fogel, M. A., Yoganathan, A. P., & Slesnick, T. C. (2020). Y-graft modification to the Fontan procedure: Increasingly balanced flow over time. Journal of Thoracic and Cardiovascular Surgery, 159(2), 652–661. https://doi.org/10.1016/j.jtcvs.2019.06.063
896Pilz, P. M., Lang, M., Hamza, O., Szabo, P. L., Inci, M., Kramer, A. M., Koch, M., Huber, J., Podesser, B. K., & Kiss, A. (2020). Semi-minimal invasive method to induce myocardial infarction in rats and the assessment of cardiac function by an isolated working heart system. Journal of Visualized Experiments, 2020(160), 1–16. https://doi.org/10.3791/61033
895Pahlevan, N. M., Yao, T., Chu, K., Cole, S., Tran, T., Wood, J. C., & King, K. S. (2020). Group delay method for MRI aortic pulse wave velocity measurements in clinical protocols with low temporal resolution: Validation in a heterogeneous cohort. Magnetic Resonance Imaging, 69(November 2019), 8–15. https://doi.org/10.1016/j.mri.2020.02.013
894Karthikeyan, B., Sonkawade, S. D., Pokharel, S., Preda, M., Schweser, F., Zivadinov, R., Kim, M., & Sharma, U. C. (2020). Tagged cine magnetic resonance imaging to quantify regional mechanical changes after acute myocardial infarction. Magnetic Resonance Imaging, 66(September 2019), 208–218. https://doi.org/10.1016/j.mri.2019.09.010
893Barton, G. P., Macdonald, E. B., Goss, K. N., Eldridge, M. W., & Fain, S. B. (2020). Measuring the link between cardiac mechanical function and metabolism during hyperpolarized 13C-pyruvate magnetic resonance experiments. Magnetic Resonance Imaging, 68(January), 9–17. https://doi.org/10.1016/j.mri.2020.01.009
892Fyrdahl, A., Ramos, J. G., Eriksson, M. J., Caidahl, K., Ugander, M., & Sigfridsson, A. (2020). Sector-wise golden-angle phase contrast with high temporal resolution for evaluation of left ventricular diastolic dysfunction. Magnetic Resonance in Medicine, 83(4), 1310–1321. https://doi.org/10.1002/mrm.28018
891Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., & Ahmad, R. (2020). CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine, 83(6), 2015–2025. https://doi.org/10.1002/mrm.28059
890Küstner, T., Bustin, A., Jaubert, O., Hajhosseiny, R., Masci, P. G., Neji, R., Botnar, R., & Prieto, C. (2020). Isotropic 3D Cartesian single breath-hold CINE MRI with multi-bin patch-based low-rank reconstruction. Magnetic Resonance in Medicine, 84(4), 2018–2033. https://doi.org/10.1002/mrm.28267
889Schrauben, E. M., Lim, J. M., Goolaub, D. S., Marini, D., Seed, M., & Macgowan, C. K. (2020). Motion robust respiratory-resolved 3D radial flow MRI and its application in neonatal congenital heart disease. Magnetic Resonance in Medicine, 83(2), 535–548. https://doi.org/10.1002/mrm.27945
888Nordlund, D., Xanthis, C., Bidhult, S., Jablonowski, R., Kanski, M., Kopic, S., Carlsson, M., Engblom, H., Aletras, A. H., & Arheden, H. (2020). Measuring extracellular volume fraction by MRI: First verification of values given by clinical sequences. Magnetic Resonance in Medicine, 83(2), 662–672. https://doi.org/10.1002/mrm.27938
887Ylitalo, P., Lehmonen, L., Lauerma, K., Holmström, M., Pitkänen-Argillander, O., & Jokinen, E. (2020). Severe pulmonary regurgitation in adolescents with tetralogy of Fallot leads to increased longitudinal strain. Magnetic Resonance Materials in Physics, Biology and Medicine, 33(2), 309–316. https://doi.org/10.1007/s10334-019-00780-0
886Winkler, J., Lukovic, D., Mester-Tonczar, J., Zlabinger, K., Gugerell, A., Pavo, N., Jakab, A., Szankai, Z., Traxler, D., Müller, C., Spannbauer, A., Riesenhuber, M., Hašimbegović, E., Dawkins, J., Zimmermann, M., Ankersmit, H. J., Marbán, E., & Gyöngyösi, M. (2020). Quantitative Hybrid Cardiac [18F]FDG-PET-MRI Images for Assessment of Cardiac Repair by Preconditioned Cardiosphere-Derived Cells. Molecular Therapy – Methods and Clinical Development, 18(September), 354–366. https://doi.org/10.1016/j.omtm.2020.06.008
885Foinquinos, A., Batkai, S., Genschel, C., Viereck, J., Rump, S., Gyöngyösi, M., Traxler, D., Riesenhuber, M., Spannbauer, A., Lukovic, D., Weber, N., Zlabinger, K., Hašimbegović, E., Winkler, J., Fiedler, J., Dangwal, S., Fischer, M., de la Roche, J., Wojciechowski, D., … Thum, T. (2020). Preclinical development of a miR-132 inhibitor for heart failure treatment. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-14349-2
884Trembinski, D. J., Bink, D. I., Theodorou, K., Sommer, J., Fischer, A., van Bergen, A., Kuo, C. C., Costa, I. G., Schürmann, C., Leisegang, M. S., Brandes, R. P., Alekseeva, T., Brill, B., Wietelmann, A., Johnson, C. N., Spring-Connell, A., Kaulich, M., Werfel, S., Engelhardt, S., … Boon, R. A. (2020). Aging-regulated anti-apoptotic long non-coding RNA Sarrah augments recovery from acute myocardial infarction. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-15995-2
883Gathier, W. A., Salden, O. A. E. E., van Ginkel, D. J., van Everdingen, W. M., Mohamed Hoesein, F. A. A. A., Cramer, M. J. M. M., Doevendans, P. A., Meine, M., Chamuleau, S. A. J. J., & van Slochteren, F. J. (2020). Feasibility and potential benefit of pre-procedural CMR imaging in patients with ischaemic cardiomyopathy undergoing cardiac resynchronisation therapy. Netherlands Heart Journal, 28(2), 89–95. https://doi.org/10.1007/s12471-019-01360-6
882Li, H., Metze, P., Abaei, A., Rottbauer, W., Just, S., Lu, Q., & Rasche, V. (2020). Feasibility of real-time cardiac MRI in mice using tiny golden angle radial sparse. NMR in Biomedicine, 33(7), 1–14. https://doi.org/10.1002/nbm.4300
881Fragkos, K. C., Bouroncle, M. C. P., Kumar, S., Caselton, L., Menys, A., Bainbridge, A., Taylor, S. A., Torrealdea, F., Kumagai, T., Di Caro, S., Rahman, F., Macnaughtan, J., Chouhan, M. D., & Mehta, S. (2020). Serum scoring and quantitative magnetic resonance imaging in intestinal failure-associated liver disease: A feasibility study. Nutrients, 12(7), 1–21. https://doi.org/10.3390/nu12072151
880Riedlbauchová, L., Adla, T., Suchánek, V., Ložek, M., Tomis, J., Hozman, J., Tomek, V., Veselka, J., & Janoušek, J. (2020). Is left bundle branch block pattern on the ECG caused by variable ventricular activation sequence? PACE – Pacing and Clinical Electrophysiology, 43(5), 486–494. https://doi.org/10.1111/pace.13914
879Wei, Z. A., Johnson, C., Trusty, P., Stephens, M., Wu, W., Sharon, R., Srimurugan, B., Kottayil, B. P., Sunil, G. S., Fogel, M. A., Yoganathan, A. P., & Kappanayil, M. (2020). Comparison of Fontan Surgical Options for Patients with Apicocaval Juxtaposition. Pediatric Cardiology, 41(5), 1021–1030. https://doi.org/10.1007/s00246-020-02353-8
878Chuah, S. H., Md Sari, N. A., Chew, B. T., Tan, L. K., Chiam, Y. K., Chan, B. T., Lim, E., Abdul Aziz, Y. F., & Liew, Y. M. (2020). Phenotyping of hypertensive heart disease and hypertrophic cardiomyopathy using personalized 3D modelling and cardiac cine MRI. Physica Medica, 78(September), 137–149. https://doi.org/10.1016/j.ejmp.2020.08.022
877Thomas, D., Luetkens, J., Faron, A., Dabir, D., Sprinkart, A. M., & Kuetting, D. (2020). Feature-tracking-based strain analysis – a comparison of tracking algorithms. Polish Journal of Radiology, 85(1), e97–e103. https://doi.org/10.5114/pjr.2020.93610
876Pierpaolo, P., Rolf, S., Manuel, B. P., Davide, C., Dresselaers, T., Claus, P., & Bogaert, J. (2020). Left ventricular global myocardial strain assessment: Are CMR feature-tracking algorithms useful in the clinical setting? Radiologia Medica, 125(5), 444–450. https://doi.org/10.1007/s11547-020-01159-1
875Rutkowski, D. R., Barton, G. P., François, C. J., Aggarwal, N., & Roldán-Alzate, A. (2020). Sex differences in cardiac flow dynamics of healthy volunteers. Radiology: Cardiothoracic Imaging, 2(1). https://doi.org/10.1148/ryct.2020190058
874Rysz, S., Lundberg, J., Nordberg, P., Eriksson, H., Wieslander, B., Lundin, M., Fyrdahl, A., Pernow, J., Ugander, M., Djärv, T., & Jonsson Fagerlund, M. (2020). The effect of levosimendan on survival and cardiac performance in an ischemic cardiac arrest model – A blinded randomized placebo-controlled study in swine. Resuscitation, 150(November 2019), 113–120. https://doi.org/10.1016/j.resuscitation.2020.02.032
873Lindow, T., Pahlm, O., Khoshnood, A., Nyman, I., Manna, D., Engblom, H., Lassen, A. T., & Ekelund, U. (2020). Electrocardiographic changes in the differentiation of ischemic and non-ischemic ST elevation. Scandinavian Cardiovascular Journal, 54(2), 100–107. https://doi.org/10.1080/14017431.2019.1705383
872Nickander, J., Themudo, R., Sigfridsson, A., Xue, H., Kellman, P., & Ugander, M. (2020). Females have higher myocardial perfusion, blood volume and extracellular volume compared to males – an adenosine stress cardiovascular magnetic resonance study. Scientific Reports, 10(1), 1–9. https://doi.org/10.1038/s41598-020-67196-y
871Nickander, J., Lundin, M., Abdula, G., Jenner, J., Maret, E., Sörensson, P., Heiberg, E., Sigfridsson, A., & Ugander, M. (2020). Stationary tissue background correction increases the precision of clinical evaluation of intra-cardiac shunts by cardiovascular magnetic resonance. Scientific Reports, 10(1), 1–8. https://doi.org/10.1038/s41598-020-61812-7
870Mohammad, M. A., Koul, S., Egerstedt, A., Smith, J. G., Noc, M., Lang, I., Holzer, M., Clemmensen, P., Gidlöf, O., Metzler, B., Engstrøm, T., & Erlinge, D. (2020). Using proximity extension proteomics assay to identify biomarkers associated with infarct size and ejection fraction after ST-elevation myocardial infarction. Scientific Reports, 10(1), 1–8. https://doi.org/10.1038/s41598-020-75399-6
869Bøgh, N., Hansen, E. S. S. S., Omann, C., Lindhardt, J., Nielsen, P. M., Stephenson, R. S., Laustsen, C., Hjortdal, V. E., & Agger, P. (2020). Increasing carbohydrate oxidation improves contractile reserves and prevents hypertrophy in porcine right heart failure. Scientific Reports, 10(1), 1–9. https://doi.org/10.1038/s41598-020-65098-7
868Moussavi, A., Mietsch, M., Drummer, C., Behr, R., Mylius, J., & Boretius, S. (2020). Cardiac MRI in common marmosets revealing age-dependency of cardiac function. Scientific Reports, 10(1), 1–10. https://doi.org/10.1038/s41598-020-67157-5
867Küstner, T., Fuin, N., Hammernik, K., Bustin, A., Qi, H., Hajhosseiny, R., Masci, P. G., Neji, R., Rueckert, D., Botnar, R. M., & Prieto, C. (2020). CINENet : deep learning ‑ based 3D cardiac CINE MRI reconstruction with multi ‑ coil complex ‑ valued 4D spatio ‑ temporal convolutions. Scientific Reports, 1–13. https://doi.org/10.1038/s41598-020-70551-8
866Osokina, A. V. V, Karetnikova, V. N. N., Polikutina, O. M. M., Ivanova, A. V. V, Gruzdeva, O. V. V, Dyleva, Y. A., Kokov, A. N. N., Brel, N. K. K., Pecherina, T. B. B., & Barbarash, O. L. L. (2020). Serum procollagens, structural and functional characteristics of the heart in prediction of cardiac fibrosis after myocardial infarction. Siberian Medical Review, 6, 75–82. https://doi.org/10.20333/2500136-2020-6-75-82
865Munkhsaikhan, U., Pierre, Joseph, F., Khuchua, Z., Li, N., Vejandla, R. M., Alberson, Neely, R., Johnson, J. N., Wetzel, G. T., Boukens, Bas, J. D., Orgil, B.-O., Brennan, J. A., Cathey, B. M., Efimov, Igor, R., Black, D. D., Gu, Q., Towbin, J. A., Xu, F., Lu, L., & Purevjav, E. (2020). The Tmem43-S358l Mutation Affects Cardiac and Small Intestine Homeostasis Contributing to Arvc5 Pathogenesis in Vivo. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3703487
864Metze, P., Li, H., Speidel, T., Buckert, D., Rottbauer, W., & Rasche, V. (2020). Sliding window reduced FOV reconstruction for real-time cardiac imaging. Zeitschrift Fur Medizinische Physik, 30(3), 236–244. https://doi.org/10.1016/j.zemedi.2020.01.001
863Liew, Y. M., Khalid, A., Tan, L. K., Lim, E., Chan, B. T., Md Sari, N. A. B., Chee, K. H., & Abdul Aziz, Y. F. (2019). Spatial cardiac dysfunction assessment via personalized modelling from MRI. 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 – Proceedings, 69–74. https://doi.org/10.1109/IECBES.2018.8626668
862del Campo, L., Sánchez‐López, A., Salaices, M., von Kleeck, R. A., Expósito, E., González‐Gómez, C., Cussó, L., Guzmán‐Martínez, G., Ruiz‐Cabello, J., Desco, M., Assoian, R. K., Briones, A. M., & Andrés, V. (2019). Vascular smooth muscle cell‐specific progerin expression in a mouse model of Hutchinson–Gilford progeria syndrome promotes arterial stiffness: Therapeutic effect of dietary nitrite. Aging Cell, 18(3). https://doi.org/10.1111/acel.12936
861Haraldsson, H., Leach, J. R., Kao, E. I., Wright, A. G., Ammanuel, S. G., Khangura, R. S., Ballweber, M. K., Chin, C. T., Shah, V. N., Meisel, K., Saloner, D. A., & Amans, M. R. (2019). Reduced jet velocity in venous flow after CSF drainage: Assessing hemodynamic causes of pulsatile tinnitus. American Journal of Neuroradiology, 40(5), 849–854. https://doi.org/10.3174/ajnr.A6043
860Bert, R. J., Settipalle, N., Tiwana, E., Muddasani, D., Nath, R., Wellman, B., Mihlon, F., Negahdar, M., Amini, A., & Boakye, M. (2019). The relationships among spinal CSF flows, spinal cord geometry, and vascular correlations: evidence of intrathecal sources and sinks. American Journal of Physiology – Regulatory Integrative and Comparative Physiology, 317(3), R470–R484. https://doi.org/10.1152/AJPREGU.00101.2018
859Wei, Z. A., Huddleston, C., Trusty, P. M., Singh-Gryzbon, S., Fogel, M. A., Veneziani, A., & Yoganathan, A. P. (2019). Analysis of Inlet Velocity Profiles in Numerical Assessment of Fontan Hemodynamics. Annals of Biomedical Engineering, 47(11), 2258–2270. https://doi.org/10.1007/s10439-019-02307-z
858Almer, J., Elmberg, V., Bränsvik, J., Nordlund, D., Khoshnood, A., Ringborn, M., Carlsson, M., Ekelund, U., & Engblom, H. (2019). Ischemic QRS prolongation as a biomarker of myocardial injury in STEMI patients. Annals of Noninvasive Electrocardiology, 24(1), 1–7. https://doi.org/10.1111/anec.12601
857Nordlund, D., Engblom, H., Bonnet, J. L., Hansen, H. S., Atar, D., Erlinge, D., Ekelund, U., Heiberg, E., Carlsson, M., & Arheden, H. (2019). Gender but not diabetes, hypertension or smoking affects infarct evolution in ST-elevation myocardial infarction patients – Data from the CHILL-MI, MITOCARE and SOCCER trials. BMC Cardiovascular Disorders, 19(1), 1–10. https://doi.org/10.1186/s12872-019-1139-7
856Corrado, P. A., Macdonald, J. A., François, C. J., Aggarwal, N. R., Weinsaft, J. W., & Wieben, O. (2019). Reduced regional flow in the left ventricle after anterior acute myocardial infarction: A case control study using 4D flow MRI. BMC Medical Imaging, 19(1), 1–18. https://doi.org/10.1186/s12880-019-0404-7
855Xanthis, C. G., Nordlund, D., Jablonowski, R., & Arheden, H. (2019). Comparison of short axis and long axis acquisitions of T1 and extracellular volume mapping using MOLLI and SASHA in patients with myocardial infarction and healthy volunteers. BMC Medical Imaging, 19(1), 1–8. https://doi.org/10.1186/s12880-019-0320-x
854Moser, N., Mior, S., Noseworthy, M., Côté, P., Wells, G., Behr, M., & Triano, J. (2019). Effect of cervical manipulation on vertebral artery and cerebral haemodynamics in patients with chronic neck pain: A crossover randomised controlled trial. BMJ Open, 9(5), 1–10. https://doi.org/10.1136/bmjopen-2018-025219
853Yang, P., Read, C., Kuc, R. E., Nyimanu, D., Williams, T. L., Crosby, A., Buonincontri, G., Southwood, M., Sawiak, S. J., Glen, R. C., Morrell, N. W., Davenport, A. P., & Maguire, J. J. (2019). A novel cyclic biased agonist of the apelin receptor, MM07, is disease modifying in the rat monocrotaline model of pulmonary arterial hypertension. British Journal of Pharmacology, 176(9), 1206–1221. https://doi.org/10.1111/bph.14603
852Keeble, T. R., Karamasis, G. V., Noc, M., Sredniawa, B., Aradi, D., Neskovic, A. N., Arheden, H., Erlinge, D., & Holzer, M. (2019). Effect of Intravascular Cooling on Microvascular Obstruction (MVO) in Conscious Patients with ST-Elevation Myocardial Infarction Undergoing Primary PCI: Results from the COOL AMI EU Pilot Study. Cardiovascular Revascularization Medicine, 20(9), 799–804. https://doi.org/10.1016/j.carrev.2018.09.014
851Vasudevan, P., Gaebel, R., Doering, P., Mueller, P., Lemcke, H., Stenzel, J., Lindner, T., Kurth, J., Steinhoff, G., Vollmar, B., Krause, B. J., Ince, H., David, R., & Lang, C. I. (2019). 18F-FDG PET-based imaging of myocardial inflammation predicts a functional outcome following transplantation of mESC-derived cardiac induced cells in a mouse model of myocardial infarction. Cells, 8(12). https://doi.org/10.3390/cells8121613
850Scally, C., Abbas, H., Ahearn, T., Srinivasan, J., Mezincescu, A., Rudd, A., Spath, N., Yucel-Finn, A., Yuecel, R., Oldroyd, K., Dospinescu, C., Horgan, G., Broadhurst, P., Henning, A., Newby, D. E., Semple, S., Wilson, H. M., & Dawson, D. K. (2019). Myocardial and Systemic Inflammation in Acute Stress-Induced (Takotsubo) Cardiomyopathy. Circulation, 139(13), 1581–1592. https://doi.org/10.1161/CIRCULATIONAHA.118.037975
849Tahir, E., Starekova, J., Muellerleile, K., Freiwald, E., von Stritzky, A., Münch, J., Avanesov, M., Weinrich, J. M., Stehning, C., Cavus, E., Bohnen, S., Radunski, U. K., Blankenberg, S., Adam, G., Simon, P., Pressler, A., Patten, M., & Lund, G. K. (2019). Impact of Myocardial Fibrosis on Left Ventricular Function Evaluated by Feature-Tracking Myocardial Strain Cardiac Magnetic Resonance in Competitive Male Triathletes With Normal Ejection Fraction. Circulation Journal, 83(7), 1553–1562. https://doi.org/10.1253/circj.CJ-18-1388
848Seemann, F., Arvidsson, P., Nordlund, D., Kopic, S., Carlsson, M., Arheden, H., & Heiberg, E. (2019). Noninvasive Quantification of Pressure-Volume Loops From Brachial Pressure and Cardiovascular Magnetic Resonance. Circulation. Cardiovascular Imaging, 12(1), e008493. https://doi.org/10.1161/CIRCIMAGING.118.008493
847Jenner, J., Sörensson, P., Pernow, J., Caidahl, K., & Eriksson, M. J. (2019). Contrast Enhancement and Image Quality Influence Two- and Three-dimensional Echocardiographic Determination of Left Ventricular Volumes: Comparison With Magnetic Resonance Imaging. Clinical Medicine Insights: Cardiology, 13. https://doi.org/10.1177/1179546819831980
846Bidhult, S., Hedström, E., Carlsson, M., Töger, J., Steding-Ehrenborg, K., Arheden, H., Aletras, A. H., & Heiberg, E. (2019). A new vessel segmentation algorithm for robust blood flow quantification from two-dimensional phase-contrast magnetic resonance images. Clinical Physiology and Functional Imaging, 39(5), 327–338. https://doi.org/10.1111/cpf.12582
845Carlsson, M., Ugander, M., Kanski, M., Borgquist, R., Ekelund, U., & Arheden, H. (2019). Heart filling exceeds emptying during late ventricular systole in patients with systolic heart failure and healthy subjects – a cardiac MRI study. Clinical Physiology and Functional Imaging, 39(3), 192–200. https://doi.org/10.1111/cpf.12555
844Pontecorboli, G., Biglino, G., Milano, E. G., Sophocleous, F., Biffi, B., Dastidar, A. G., Schievano, S., Di Mario, C., & Bucciarelli-Ducci, C. (2019). Beyond apical ballooning: computational modelling reveals morphological features of Takotsubo cardiomyopathy. Computer Methods in Biomechanics and Biomedical Engineering, 22(14), 1103–1106. https://doi.org/10.1080/10255842.2019.1632836
843Baxan, N., Papanikolaou, A., Salles-Crawley, I., Lota, A., Chowdhury, R., Dubois, O., Branca, J., Hasham, M. G., Rosenthal, N., Prasad, S. K., Zhao, L., Harding, S. E., & Sattler, S. (2019). Characterization of acute TLR-7 agonist-induced hemorrhagic myocarditis in mice by multiparametric quantitative cardiac magnetic resonance imaging. DMM Disease Models and Mechanisms, 12(8), 1–10. https://doi.org/10.1242/dmm.040725
842Campbell, B., Robinson, S., & Rana, B. (2019). The evolution from cardiac physiologists to clinical scientists in the UK: A guide to attaining equivalence. Echo Research and Practice, 6(4), R99–R105. https://doi.org/10.1530/ERP-19-0026
841Marinković, G., Grauen Larsen, H., Yndigegn, T., Szabo, I. A., Mares, R. G., De Camp, L., Weiland, M., Tomas, L., Goncalves, I., Nilsson, J., Jovinge, S., & Schiopu, A. (2019). Inhibition of pro-inflammatory myeloid cell responses by short-term S100A9 blockade improves cardiac function after myocardial infarction. European Heart Journal, 40(32), 2713–2723. https://doi.org/10.1093/eurheartj/ehz461
840Marty, B., Gilles, R., Toussaint, M., Béhin, A., Stojkovic, T., Eymard, B., Carlier, P. G., & Wahbi, K. (2019). Comprehensive evaluation of structural and functional myocardial impairments in Becker muscular dystrophy using quantitative cardiac magnetic resonance imaging. European Heart Journal Cardiovascular Imaging, 20(8), 906–915. https://doi.org/10.1093/ehjci/jey209
839Pettinari, M., De Kerchove, L., Lazam, S., Pasquet, A., Gerber, B., Vanoverschelde, J. L., & El-Khoury, G. (2019). Mid-term results of a randomized trial of tricuspid annuloplasty for less-than-severe functional tricuspid regurgitation at the time of mitral valve surgery. European Journal of Cardio-Thoracic Surgery, 55(5), 851–858. https://doi.org/10.1093/ejcts/ezy378
838Dobrovie, M., Barreiro-Pérez, M., Curione, D., Symons, R., Claus, P., Voigt, J. U., & Bogaert, J. (2019). Inter-vendor reproducibility and accuracy of segmental left ventricular strain measurements using CMR feature tracking. European Radiology, 29(12), 6846–6857. https://doi.org/10.1007/s00330-019-06315-4
837Nagel, F., Santer, D., Stojkovic, S., Kaun, C., Schaefer, A. K., Krššák, M., Abraham, D., Bencsik, P., Ferdinandy, P., Kenyeres, E., Szabados, T., Wojta, J., Trescher, K., Kiss, A., & Podesser, B. K. (2019). The impact of age on cardiac function and extracellular matrix component expression in adverse post-infarction remodeling in mice. Experimental Gerontology, 119(February), 193–202. https://doi.org/10.1016/j.exger.2019.02.008
836Holmlund, P., Qvarlander, S., Malm, J., & Eklund, A. (2019). Can pulsatile CSF flow across the cerebral aqueduct cause ventriculomegaly? A prospective study of patients with communicating hydrocephalus. Fluids and Barriers of the CNS, 16(1), 1–10. https://doi.org/10.1186/s12987-019-0159-0
835Mulchrone, A., Kellihan, H. B., Forouzan, O., Hacker, T. A., Bates, M. L., Francois, C. J., & Chesler, N. C. (2019). A Large Animal Model of Right Ventricular Failure due to Chronic Thromboembolic Pulmonary Hypertension: A Focus on Function. Frontiers in Cardiovascular Medicine, 5(January), 1–11. https://doi.org/10.3389/fcvm.2018.00189
834Karlsson, L. O., Erixon, H., Ebbers, T., Bolger, A., & Carlhäll, C. J. (2019). Post-cardioversion Improvement in LV Function Defined by 4D Flow Patterns and Energetics in Patients with Atrial Fibrillation. Frontiers in Physiology, 10(MAY), 1–10. https://doi.org/10.3389/fphys.2019.00659
833Kuo, L., Shirai, Y., Muser, D., Liang, J. J., Castro, S. A., Santangeli, P., Schaller, R. D., Supple, G. E., Lin, D., Nazarian, S., Dixit, S., Callans, D. J., Marchlinski, F. E., & Frankel, D. S. (2019). Comparison of the arrhythmogenic substrate between men and women with nonischemic cardiomyopathy. Heart Rhythm, 16(9), 1414–1420. https://doi.org/10.1016/j.hrthm.2019.03.024
832Nemavhola, F. (2019). Detailed structural assessment of healthy interventricular septum in the presence of remodeling infarct in the free wall – A finite element model. Heliyon, 5(6), e01841. https://doi.org/10.1016/j.heliyon.2019.e01841
831Karlsen, H., Bergan, H. A., Halvorsen, P. S., Sunde, K., Qvigstad, E., Andersen, G. Ø., Bugge, J. F., & Olasveengen, T. M. (2019). Esmolol for cardioprotection during resuscitation with adrenaline in an ischaemic porcine cardiac arrest model. Intensive Care Medicine Experimental, 7(1). https://doi.org/10.1186/s40635-019-0279-5
830Peirlinck, M., Sack, K. L., De Backer, P., Morais, P., Segers, P., Franz, T., & De Beule, M. (2019). Kinematic boundary conditions substantially impact in silico ventricular function. International Journal for Numerical Methods in Biomedical Engineering, 35(1), 1–21. https://doi.org/10.1002/cnm.3151
829Lehmonen, L., Kaasalainen, T., Atula, S., Mustonen, T., & Holmström, M. (2019). Myocardial tissue characterization in patients with hereditary gelsolin (AGel) amyloidosis using novel cardiovascular magnetic resonance techniques. International Journal of Cardiovascular Imaging, 35(2), 351–358. https://doi.org/10.1007/s10554-019-01570-4
828Bendary, A., Afifi, M., Tawfik, W., Mahros, M., Ramzy, A., & Salem, M. (2019). The predictive value of global longitudinal strain on late infarct size in patients with anterior ST-segment elevation myocardial infarction treated with a primary percutaneous coronary intervention. International Journal of Cardiovascular Imaging, 35(2), 339–346. https://doi.org/10.1007/s10554-018-1498-7
827Stephensen, S. S., Ostenfeld, E., Kutty, S., Steding-Ehrenborg, K., Arheden, H., Thilén, U., & Carlsson, M. (2019). Transcatheter closure of atrial septal defect in adults: time-course of atrial and ventricular remodeling and effects on exercise capacity. International Journal of Cardiovascular Imaging, 35(11), 2077–2084. https://doi.org/10.1007/s10554-019-01647-0
826van Es, R., van den Broek, H. T., van der Naald, M., de Jong, L., Nieuwenhuis, E. R., Kraaijeveld, A. O., Doevendans, P. A., Chamuleau, S. A. J. J., van Slochteren, F. J., Es, R. Van, Broek, H. T. Van Den, Naald, M. Van Der, Jong, L. De, & Nieuwenhuis, E. R. (2019). Validation of a novel stand-alone software tool for image guided cardiac catheter therapy. International Journal of Cardiovascular Imaging, 35(2), 225–235. https://doi.org/10.1007/s10554-019-01541-9
825Spannbauer, A., Traxler, D., Lukovic, D., Zlabinger, K., Winkler, J., Gugerell, A., Ferdinandy, P., Hausenloy, D. J., Pavo, N., Emmert, M. Y., Hoerstrup, S. P., Jakab, A., Gyöngyösi, M., & Riesenhuber, M. (2019). Effect of ischemic preconditioning and postconditioning on exosome-rich fraction microrna levels, in relation with electrophysiological parameters and ventricular arrhythmia in experimental closed-chest reperfused myocardial infarction. International Journal of Molecular Sciences, 20(9). https://doi.org/10.3390/ijms20092140
824Trusty, P. M., Wei, Z. A., Slesnick, T. C., Kanter, K. R., Spray, T. L., Fogel, M. A., & Yoganathan, A. P. (2019). Patients with Follow up Data : How Accurate is Surgical Planning? J Thorac Cardiovasc Surg., 157(3), 1146–1155. https://doi.org/10.1016/j.jtcvs.2018.11.102.The
823Houard, L., Benaets, M. B., de Meester de Ravenstein, C., Rousseau, M. F., Ahn, S. A., Amzulescu, M. S., Roy, C., Slimani, A., Vancraeynest, D., Pasquet, A., Vanoverschelde, J. L. J., Pouleur, A. C., & Gerber, B. L. (2019). Additional Prognostic Value of 2D Right Ventricular Speckle-Tracking Strain for Prediction of Survival in Heart Failure and Reduced Ejection Fraction: A Comparative Study With Cardiac Magnetic Resonance. JACC: Cardiovascular Imaging, 12(12), 2373–2385. https://doi.org/10.1016/j.jcmg.2018.11.028
822Tahir, E., Koops, A., Warncke, M. L., Starekova, J., Neumann, J. T., Waldeyer, C., Avanesov, M., Lund, G. K., Fischer, R., Adam, G., Blankenberg, S., Wenzel, U. O., & Brunner, F. J. (2019). Effect of renal denervation procedure on left ventricular mass, myocardial strain and diastolic function by CMR on a 12-month follow-up. Japanese Journal of Radiology, 37(9), 642–650. https://doi.org/10.1007/s11604-019-00854-y
821Sheldrick, K., Chamoli, U., Masuda, K., Miyazaki, S., Kato, K., & Diwan, A. D. (2019). A novel magnetic resonance imaging postprocessing technique for the assessment of intervertebral disc degeneration—Correlation with histological grading in a rabbit disc degeneration model. JOR Spine, 2(3), 1–8. https://doi.org/10.1002/jsp2.1060
820Molony, D. S., Park, J., Zhou, L., Fleischer, C. C., Sun, H. Y., Hu, X. P., Oshinski, J. N., Samady, H., Giddens, D. P., & Rezvan, A. (2019). Bulk Flow and Near Wall Hemodynamics of the Rabbit Aortic Arch and Descending Thoracic Aorta: A 4D PC-MRI Derived Computational Fluid Dynamics Study. Journal of Biomechanical Engineering, 141(1), 1–11. https://doi.org/10.1115/1.4041222
819Tang, E., Wei, Z. A., Trusty, P. M., Whitehead, K. K., Mirabella, L., Veneziani, A., Fogel, M. A., & Yoganathan, A. P. (2019). The effect of respiration-driven flow waveforms on hemodynamic metrics used in Fontan surgical planning. Journal of Biomechanics, 82(3), 87–95. https://doi.org/10.1016/j.jbiomech.2018.10.013
818Seldrum, S., de Meester, C., Pierard, S., Pasquet, A., Lazam, S., Boulif, J., Vanoverschelde, J. L., & Gerber, B. L. (2019). Assessment of Left Ventricular Reverse Remodeling by Cardiac MRI in Patients Undergoing Repair Surgery for Severe Aortic or Mitral Regurgitation. Journal of Cardiothoracic and Vascular Anesthesia, 33(7), 1901–1911. https://doi.org/10.1053/j.jvca.2018.11.013
817Guné, H., Sjögren, J., Carlsson, M., Gustafsson, R., Sjöberg, P., & Nozohoor, S. (2019). Right ventricular remodeling after conduit replacement in patients with corrected tetralogy of Fallot – Evaluation by cardiac magnetic resonance. Journal of Cardiothoracic Surgery, 14(1), 1–7. https://doi.org/10.1186/s13019-019-0899-6
816Ohta, Y., Kitao, S., Yunaga, H., Watanabe, T., Mukai—Yatagai, N., Kishimoto, J., Yamamoto, K., & Ogawa, T. (2019). Quantitative evaluation of non-ischemic dilated cardiomyopathy by late iodine enhancement using rapid kV switching dual-energy computed tomography: A feasibility study. Journal of Cardiovascular Computed Tomography, 13(2), 148–156. https://doi.org/10.1016/j.jcct.2018.10.028
815Loring, Z., Atwater, B. D., Xia, X., Axelsson, J., Klem, I., Nijveldt, R., Schelbert, E. B., Couderc, J. P., Strauss, D. G., Ugander, M., & Wieslander, B. (2019). Low lead one ratio predicts clinical outcomes in left bundle branch block. Journal of Cardiovascular Electrophysiology, 30(5), 709–716. https://doi.org/10.1111/jce.13875
814Beitner, N., Jenner, J., & Sörensson, P. (2019). Comparison of left ventricular volumes measured by 3DE, SPECT and CMR. Journal of Cardiovascular Imaging, 27(3), 200–211. https://doi.org/10.4250/jcvi.2019.27.e26
813Wieslander, B., Ramos, J. G., Ax, M., Petersson, J., & Ugander, M. (2019). Supine, prone, right and left gravitational effects on human pulmonary circulation. Journal of Cardiovascular Magnetic Resonance, 21(1), 1–15. https://doi.org/10.1186/s12968-019-0577-9
812Nickander, J., Themudo, R., Thalén, S., Sigfridsson, A., Xue, H., Kellman, P., & Ugander, M. (2019). The relative contributions of myocardial perfusion, blood volume and extracellular volume to native T1 and native T2 at rest and during adenosine stress in normal physiology. Journal of Cardiovascular Magnetic Resonance, 21(1), 73. https://doi.org/10.1186/s12968-019-0585-9
811Salehi, D., Sun, L., Steding-Ehrenborg, K., Bidhult, S., Kording, F., Ruprecht, C., Macgowan, C. K., Seed, M., Aletras, A. H., Arheden, H., & Hedström, E. (2019). Quantification of blood flow in the fetus with cardiovascular magnetic resonance imaging using Doppler ultrasound gating: Validation against metric optimized gating. Journal of Cardiovascular Magnetic Resonance, 21(1), 1–15. https://doi.org/10.1186/s12968-019-0586-8
810Omann, C., Agger, P., Bøgh, N., Laustsen, C., Ringgaard, S., Stephenson, R. S., Anderson, R. H., Hjortdal, V. E., & Smerup, M. (2019). Resolving the natural myocardial remodelling brought upon by cardiac contraction; A porcine ex-vivo cardiovascular magnetic resonance study of the left and right ventricle. Journal of Cardiovascular Magnetic Resonance, 21(1), 1–19. https://doi.org/10.1186/s12968-019-0547-2
809van den Broek, H. T., Wenker, S., van de Leur, R., Doevendans, P. A., Chamuleau, S. A. J. J., van Slochteren, F. J., & van Es, R. (2019). 3D Myocardial Scar Prediction Model Derived from Multimodality Analysis of Electromechanical Mapping and Magnetic Resonance Imaging. Journal of Cardiovascular Translational Research, 12(6), 517–527. https://doi.org/10.1007/s12265-019-09899-w
808Osmanagic-Myers, S., Kiss, A., Manakanatas, C., Hamza, O., Sedlmayer, F., Szabo, P. L., Fischer, I., Fichtinger, P., Podesser, B. K., Eriksson, M., & Foisner, R. (2019). Endothelial progerin expression causes cardiovascular pathology through an impaired mechanoresponse. Journal of Clinical Investigation, 129(2), 531–545. https://doi.org/10.1172/JCI121297
807Kočková, R., Línková, H., Hlubocká, Z., Pravečková, A., Polednová, A., Súkupová, L., Bláha, M., Malý, J., Honsová, E., Sedmera, D., & Pěnička, M. (2019). New imaging markers of clinical outcome in asymptomatic patients with severe aortic regurgitation. Journal of Clinical Medicine, 8(10), 1–14. https://doi.org/10.3390/jcm8101654
806Miskinyte, E., Bucius, P., Erley, J., Zamani, S. M., Tanacli, R., Stehning, C., Schneeweis, C., Lapinskas, T., Pieske, B., Falk, V., Gebker, R., Pedrizzetti, G., Solowjowa, N., & Kelle, S. (2019). Assessment of global longitudinal and circumferential strain using computed tomography feature tracking: Intra-individual comparison with cmr feature tracking and myocardial tagging in patients with severe aortic stenosis. Journal of Clinical Medicine, 8(9). https://doi.org/10.3390/jcm8091423
805Dunås, T., Holmgren, M., Wåhlin, A., Malm, J., & Eklund, A. (2019). Accuracy of blood flow assessment in cerebral arteries with 4D flow MRI: Evaluation with three segmentation methods. Journal of Magnetic Resonance Imaging, 50(2), 511–518. https://doi.org/10.1002/jmri.26641
804Iffrig, E., Wilson, J. S., Zhong, X., & Oshinski, J. N. (2019). Demonstration of circumferential heterogeneity in displacement and strain in the abdominal aortic wall by spiral cine DENSE MRI. Journal of Magnetic Resonance Imaging, 49(3), 731–743. https://doi.org/10.1002/jmri.26304
803Khalid, A., Lim, E., Chan, B. T., Abdul Aziz, Y. F., Chee, K. H., Yap, H. J., & Liew, Y. M. (2019). Assessing regional left ventricular thickening dysfunction and dyssynchrony via personalized modeling and 3D wall thickness measurements for acute myocardial infarction. Journal of Magnetic Resonance Imaging, 49(4), 1006–1019. https://doi.org/10.1002/jmri.26302
802Poormasjedi-Meibod, M. S., Mansouri, M., Fossey, M., Squair, J. W., Liu, J., McNeill, J. H., & West, C. R. (2019). Experimental Spinal Cord Injury Causes Left-Ventricular Atrophy and Is Associated with an Upregulation of Proteolytic Pathways. Journal of Neurotrauma, 36(6), 950–961. https://doi.org/10.1089/neu.2017.5624
801Schultz, J., Andersen, A., Gade, I. L., Ringgaard, S., Kjaergaard, B., & Nielsen-Kudsk, J. E. (2018). A porcine in-vivo model of acute pulmonary embolism. Pulmonary Circulation, 8(1). https://doi.org/10.1177/2045893217738217
800Barton, G. P., Vildberg, L., Goss, K., Aggarwal, N., Eldridge, M., & McMillan, A. B. (2019). Simultaneous determination of dynamic cardiac metabolism and function using PET/MRI. Journal of Nuclear Cardiology, 26(6), 1946–1957. https://doi.org/10.1007/s12350-018-1287-7
799Oddstig, J., Martinsson, E., Jögi, J., Engblom, H., & Hindorf, C. (2019). Differences in attenuation pattern in myocardial SPECT between CZT and conventional gamma cameras. Journal of Nuclear Cardiology, 26(6), 1984–1991. https://doi.org/10.1007/s12350-018-1296-6
798Li, J., Kemp, B. A., Howell, N. L., Massey, J., Mińczuk, K., Huang, Q., Chordia, M. D., Jack Roy, R., Patrie, J. T., Davogustto, G. E., Kramer, C. M., Epstein, F. H., Carey, R. M., Taegtmeyer, H., Keller, S. R., & Kundu, B. K. (2019). Metabolic changes in spontaneously hypertensive rat hearts precede cardiac dysfunction and left ventricular hypertrophy. Journal of the American Heart Association, 8(4). https://doi.org/10.1161/JAHA.118.010926
797Qi, H., Bustin, A., Cruz, G., Jaubert, O., Chen, H., Botnar, R. M., & Prieto, C. (2019). Free-running simultaneous myocardial T1/T2 mapping and cine imaging with 3D whole-heart coverage and isotropic spatial resolution. Magnetic Resonance Imaging, 63(July), 159–169. https://doi.org/10.1016/j.mri.2019.08.008
796Lehmonen, L., Vuorinen, A. M., Koivuniemi, R., Leirisalo-Repo, M., Holmström, M., Kivistö, S., & Kaasalainen, T. (2018). One-Year Follow-up Study Detects Myocardial Changes with Cardiovascular Magnetic Resonance Tagging in Active Rheumatoid Arthritis. Academic Radiology, 25(4), 476–485. https://doi.org/10.1016/j.acra.2017.10.017
795Duan, C., Zhu, Y., Jang, J., Rodriguez, J., Neisius, U., Fahmy, A. S., & Nezafat, R. (2019). Non-contrast myocardial infarct scar assessment using a hybrid native T1 and magnetization transfer imaging sequence at 1.5T. Magnetic Resonance in Medicine, 81(5), 3192–3201. https://doi.org/10.1002/mrm.27636
794Pruitt, A. A., Jin, N., Liu, Y., Simonetti, O. P., & Ahmad, R. (2019). A method to correct background phase offset for phase-contrast MRI in the presence of steady flow and spatial wrap-around artifact. Magnetic Resonance in Medicine, 81(4), 2424–2438. https://doi.org/10.1002/mrm.27572
793Leong, C. O., Lim, E., Tan, L. K., Abdul Aziz, Y. F., Sridhar, G. S., Socrates, D., Chee, K. H., Lee, Z. V., & Liew, Y. M. (2019). Segmentation of left ventricle in late gadolinium enhanced MRI through 2D-4D registration for infarct localization in 3D patient-specific left ventricular model. Magnetic Resonance in Medicine, 81(2), 1385–1398. https://doi.org/10.1002/mrm.27486
792Vatnehol, S. A. S., Hol, P. K., Bjørnerud, A., Amiry-Moghaddam, M., Haglerød, C., & Storås, T. H. (2019). Precision of T1-relaxation time measurements in the hepatic portal vein: influence of measurement technique and sequence parameters. Magnetic Resonance Materials in Physics, Biology and Medicine, 32(3), 359–368. https://doi.org/10.1007/s10334-018-00731-1
791Holst, K., Fyrdahl, A., Caidahl, K., Ugander, M., & Sigfridsson, A. (2019). Projection-based respiratory-resolved left ventricular volume measurements in patients using free-breathing double golden-angle 3D radial acquisition. Magnetic Resonance Materials in Physics, Biology and Medicine, 32(3), 331–341. https://doi.org/10.1007/s10334-018-0727-3
790Farrag, N. A., White, J. A., & Ukwatta, E. (2019). Semi-automated myocardial segmentation of T1-mapping cardiovascular magnetic resonance images using deformable non-rigid registration from CINE images. In B. Gimi & A. Krol (Eds.), Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging (Issue March 2019, p. 46). SPIE. https://doi.org/10.1117/12.2513054
789Zhang, H., Sun, Y., Liu, X., Yang, Y., Sun, T., Krittanawong, C., El-Am, E. A., Liu, G., Yang, J., & Ma, N. (2019). Speckle tracking echocardiography in early detection of myocardial injury in a rat model with stress cardiomyopathy. Medical Ultrasonography, 21(4), 441. https://doi.org/10.11152/mu-1988
788Wilmanns, J. C., Pandey, R., Hon, O., Chandran, A., Schilling, J. M., Forte, E., Wu, Q., Cagnone, G., Bais, P., Philip, V., Coleman, D., Kocalis, H., Archer, S. K., Pearson, J. T., Ramialison, M., Heineke, J., Patel, H. H., Rosenthal, N. A., Furtado, M. B., & Costa, M. W. (2019). Metformin intervention prevents cardiac dysfunction in a murine model of adult congenital heart disease. Molecular Metabolism, 20(November 2018), 102–114. https://doi.org/10.1016/j.molmet.2018.11.002
787Truong, M., Bloch, K. M., Andersen, M., Andsberg, G., Töger, J., & Wassélius, J. (2019). Subacute vessel wall imaging at 7-T MRI in post-thrombectomy stroke patients. Neuroradiology, 61(10), 1145–1153. https://doi.org/10.1007/s00234-019-02242-9
786Scheirlynck, E., Dejgaard, L. A., Skjølsvik, E., Lie, O. H., Motoc, A., Hopp, E., Tanaka, K., Ueland, T., Ribe, M., Collet, C., Edvardsen, T., Droogmans, S., Cosyns, B., & Haugaa, K. H. (2019). Increased levels of sST2 in patients with mitral annulus disjunction and ventricular arrhythmias. Open Heart, 6(1), 1–8. https://doi.org/10.1136/openhrt-2019-001016
785Leger, T., Azarnoush, K., Traoré, A., Cassagnes, L., Rigaudière, J. P., Jouve, C., Pagès, G., Bouvier, D., Sapin, V., Pereira, B., Bonny, J. M., & Demaison, L. (2019). Antioxidant and cardioprotective effects of EPA on early low-severity sepsis through UCP3 and SIRT3 upholding of the mitochondrial redox potential. Oxidative Medicine and Cellular Longevity, 2019. https://doi.org/10.1155/2019/9710352
784Cox, D. J., Bai, W., Price, A. N., Edwards, A. D., Rueckert, D., & Groves, A. M. (2019). Ventricular remodeling in preterm infants: computational cardiac magnetic resonance atlasing shows significant early remodeling of the left ventricle. In Pediatric Research (Vol. 85, Issue 6). Springer US. https://doi.org/10.1038/s41390-018-0171-0
783Bardi, E., Majerczak, J., Zoladz, J. A., Tyrankiewicz, U., Skorka, T., Chlopicki, S., Jablonska, M., Bar, A., Jasinski, K., Buso, A., Salvadego, D., Nieckarz, Z., Grassi, B., Bottinelli, R., & Pellegrino, M. A. (2019). Voluntary physical activity counteracts Chronic Heart Failure progression affecting both cardiac function and skeletal muscle in the transgenic Tgαq*44 mouse model. Physiological Reports, 7(13), 1–14. https://doi.org/10.14814/phy2.14161
782Wu, V. C. C., Kitano, T., Nabeshima, Y., Otani, K., Chu, P. H., & Takeuchi, M. (2019). Optimal threshold of three-dimensional echocardiographic fully automated software for quantification of left ventricular volumes and ejection fraction: Comparison with cardiac magnetic resonance disk-area summation method and feature tracking method. PLoS ONE, 14(1), 1–16. https://doi.org/10.1371/journal.pone.0211154
781Kitano, T., Nabeshima, Y., Abe, Y., Otsuji, Y., & Takeuchi, M. (2019). Accuracy and reliability of novel semiautomated two-dimensional layer specific speckle tracking software for quantifying left ventricular volumes and function. PLoS ONE, 14(8), 1–16. https://doi.org/10.1371/journal.pone.0221204
780Lee, B. C., Tward, D. J., Wei, J., Tipre, D., Weiss, R. G., Miller, M. I., & Ardekani, S. (2019). Diffeomorphic Upsampling of Serially Acquired Sparse 2D Cross-Sections in Cardiac MRI. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, i(5), 4491–4495. https://doi.org/10.1109/EMBC.2019.8856317
779Pike, D., Shiu, Y. T., Cho, Y. F., Le, H., Somarathna, M., Isayeva, T., Guo, L., Symons, J. D., Kevil, C. G., Totenhagen, J., & Lee, T. (2019). Author Correction: The effect of endothelial nitric oxide synthase on the hemodynamics and wall mechanics in murine arteriovenous fistulas (Scientific Reports, (2019), 9, 1, (4299), 10.1038/s41598-019-40683-7). Scientific Reports, 9(1), 1–17. https://doi.org/10.1038/s41598-019-51080-5
778Pryds, K., Larsen, A. H., Hansen, M. S., Grøndal, A. Y. K., Tougaard, R. S., Hansson, N. H., Clemmensen, T. S., Løgstrup, B. B., Wiggers, H., Kim, W. Y., Bøtker, H. E., & Nielsen, R. R. (2019). Myocardial strain assessed by feature tracking cardiac magnetic resonance in patients with a variety of cardiovascular diseases – A comparison with echocardiography. Scientific Reports, 9(1), 11296. https://doi.org/10.1038/s41598-019-47775-4
777van den Boomen, M., Kause, H. B., Assen, H. C. va. Van, Dankers, P. Y. W. W. W., Bouten, C. V. C. C. C., Vandoorne, K., Boomen, M. van den, Kause, H. B., Assen, H. C. va. Van, Dankers, P. Y. W. W. W., Bouten, C. V. C. C. C., Vandoorne, K., van den Boomen, M., Kause, H. B., Assen, H. C. va. Van, Dankers, P. Y. W. W. W., Bouten, C. V. C. C. C., & Vandoorne, K. (2019). Triple-marker cardiac MRI detects sequential tissue changes of healing myocardium after a hydrogel-based therapy. Scientific Reports, 9(1), 1–15. https://doi.org/10.1038/s41598-019-55864-7
776Shangaris, P., Loukogeorgakis, S. P., Subramaniam, S., Flouri, C., Jackson, L. H., Wang, W., Blundell, M. P., Liu, S., Eaton, S., Bakhamis, N., Ramachandra, D. L., Maghsoudlou, P., Urbani, L., Waddington, S. N., Eddaoudi, A., Archer, J., Antoniou, M. N., Stuckey, D. J., Schmidt, M., … David, A. L. (2019). In Utero Gene Therapy (IUGT) Using GLOBE Lentiviral Vector Phenotypically Corrects the Heterozygous Humanised Mouse Model and Its Progress Can Be Monitored Using MRI Techniques. Scientific Reports, 9(1), 1–17. https://doi.org/10.1038/s41598-019-48078-4
775Erlandsson, L., Ducat, A., Castille, J., Zia, I., Kalapotharakos, G., Hedström, E., Vilotte, J. L., Vaiman, D., & Hansson, S. R. (2019). Alpha-1 microglobulin as a potential therapeutic candidate for treatment of hypertension and oxidative stress in the STOX1 preeclampsia mouse model. Scientific Reports, 9(1), 1–13. https://doi.org/10.1038/s41598-019-44639-9
774Simon, B. V., Subramanian, S., Swartz, M. F., Wang, H., Atallah-Yunes, N., & Alfieris, G. M. (2019). Serial Follow-Up of Two Surgical Strategies for the Repair of Tetralogy of Fallot. Seminars in Thoracic and Cardiovascular Surgery, 31(3), 515–523. https://doi.org/10.1053/j.semtcvs.2019.01.006
773Jakimovski, D., Laganà, M. M., Topolski, M., Kimura, K., Pandya, V., Bergsland, N., Weinstock-Guttman, B., & Zivadinov, R. (2019). Decrease in size of secondary neck vessels and cerebral aqueduct enlargement in multiple sclerosis: a 5-year longitudinal MRI study. Veins and Lymphatics, 8(2), 8440. https://doi.org/10.4081/vl.2019.8440
772Markenroth Bloch, K., Töger, J., & Ståhlberg, F. (2018). Investigation of cerebrospinal fluid flow in the cerebral aqueduct using high-resolution phase contrast measurements at 7T MRI. Acta Radiologica, 59(8), 988–996. https://doi.org/10.1177/0284185117740762
771Homsi, R., Sprinkart, A. M., Gieseke, J., Meier-Schroers, M., Yuecel, S., Fischer, S., Nadal, J., Dabir, D., Luetkens, J. A., Kuetting, D. L., Schild, H. H., & Thomas, D. K. (2018). Cardiac magnetic resonance based evaluation of aortic stiffness and epicardial fat volume in patients with hypertension, diabetes mellitus, and myocardial infarction. Acta Radiologica, 59(1), 65–71. https://doi.org/10.1177/0284185117706201
770Mohammad, M. A., Koul, S., Smith, J. G., Noc, M., Lang, I., Holzer, M., Clemmensen, P., Jensen, U., Engstrøm, T., Arheden, H., James, S., Lindahl, B., Metzler, B., & Erlinge, D. (2018). Predictive Value of High-Sensitivity Troponin T for Systolic Dysfunction and Infarct Size (Six Months) After ST-Elevation Myocardial Infarction. American Journal of Cardiology, 122(5), 735–743. https://doi.org/10.1016/j.amjcard.2018.05.005
769Sjöberg, P., Töger, J., Hedström, E., Arvidsson, P., Heiberg, E., Arheden, H., Gustafsson, R., Nozohoor, S., & Carlsson, M. (2018). Altered biventricular hemodynamic forces in patients with repaired tetralogy of fallot and right ventricular volume overload because of pulmonary regurgitation. American Journal of Physiology – Heart and Circulatory Physiology, 315(6), H1691–H1702. https://doi.org/10.1152/ajpheart.00330.2018
768Allencherril, J., Fakhri, Y., Engblom, H., Heiberg, E., Carlsson, M., Dubois-Rande, J.-L. L., Halvorsen, S., Hall, T. S., Larsen, A.-I. I., Jensen, S. E., Arheden, H., Atar, D., Clemmensen, P., Ripa, M. S., & Birnbaum, Y. (2018). The significance of ST-elevation in aVL in anterolateral myocardial infarction: An assessment by cardiac magnetic resonance imaging. Annals of Noninvasive Electrocardiology, 23(6), 1–7. https://doi.org/10.1111/anec.12580
767Cheimariotis, G. A., Al-Mashat, M., Haris, K., Aletras, A. H., Jögi, J., Bajc, M., Maglaveras, N., & Heiberg, E. (2018). Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT. Annals of Nuclear Medicine, 32(2), 94–104. https://doi.org/10.1007/s12149-017-1223-y
766DeLalio, L. J., Keller, A. S., Chen, J., Boyce, A. K. J. J., Artamonov, M. V., Askew-Page, H. R., Stevenson Keller, T. C., Johnstone, S. R., Weaver, R. B., Good, M. E., Murphy, S. A., Best, A. K., Mintz, E. L., Penuela, S., Greenwood, I. A., Machado, R. F., Somlyo, A. V., Swayne, L. A., Minshall, R. D., & Isakson, B. E. (2018). Interaction between pannexin 1 and caveolin-1 in smooth muscle can regulate blood pressure. Arteriosclerosis, Thrombosis, and Vascular Biology, 38(9), 2065–2078. https://doi.org/10.1161/ATVBAHA.118.311290
765Giménez, C. S., Olea, F. D., Locatelli, P., Dewey, R. A., Abraham, G. A., Montini Ballarin, F., Bauzá, M. del R., Hnatiuk, A., De Lorenzi, A., Neira Sepúlveda, Á., Embon, M., Cuniberti, L., & Crottogini, A. (2018). Effect of poly (l-lactic acid) scaffolds seeded with aligned diaphragmatic myoblasts overexpressing connexin-43 on infarct size and ventricular function in sheep with acute coronary occlusion. Artificial Cells, Nanomedicine and Biotechnology, 46(sup3), S717–S724. https://doi.org/10.1080/21691401.2018.1508029
764Gyllenhammar, T., Kanski, M., Engblom, H., Wuttge, D. M., Carlsson, M., Hesselstrand, R., & Arheden, H. (2018). Decreased global myocardial perfusion at adenosine stress as a potential new biomarker for microvascular disease in systemic sclerosis: A magnetic resonance study. BMC Cardiovascular Disorders, 18(1), 1–8. https://doi.org/10.1186/s12872-018-0756-x
763Al-Talabany, S., Mordi, I., Graeme Houston, J., Colhoun, H. M., Weir-McCall, J. R., Matthew, S. Z., Looker, H. C., Levin, D., Belch, J. J. F. F., Dove, F., Khan, F., & Lang, C. C. (2018). Epicardial adipose tissue is related to arterial stiffness and inflammation in patients with cardiovascular disease and type 2 diabetes. BMC Cardiovascular Disorders, 18(1), 1–8. https://doi.org/10.1186/s12872-018-0770-z
762Jia, X., Heiberg, E., Sejersten Ripa, M., Engblom, H., Carlsson, M., Halvorsen, S., Arheden, H., Atar, D., Clemmensen, P., & Birnbaum, Y. (2018). Cardiac Magnetic Resonance Evaluation of the Extent of Myocardial Injury in Patients with Inferior ST Elevation Myocardial Infarction and Concomitant ST Depression in Leads V1–V3: Analysis from the MITOCARE Study. Cardiology, 140(3), 178–185. https://doi.org/10.1159/000491745
761Maagaard, M., Heiberg, J., Eckerström, F., Asschenfeldt, B., Rex, C. E., Ringgaard, S., & Hjortdal, V. E. (2018). Biventricular morphology in adults born with a ventricular septal defect. Cardiology in the Young, 28(12), 1379–1385. https://doi.org/10.1017/S1047951118001361
760Gruzdeva, O., Uchasova, E., Dyleva, Y., Borodkina, D., Akbasheva, O., Belik, E., Karetnikova, V., Brel, N., Kokov, A., Kashtalap, V., & Barbarash, O. (2018). Relationships between epicardial adipose tissue thickness and adipo-fibrokine indicator profiles post-myocardial infarction. Cardiovascular Diabetology, 17(1), 1–11. https://doi.org/10.1186/s12933-018-0679-y
759Wang, Y. S., Zhang, J., Li, Y. F., Chen, B. R., Khurwolah, M. R., Tian, Y. F., Shi, H. J., Yang, Z. J., & Wang, L. S. (2018). A pilot clinical study of adjunctive therapy with selective intracoronary hypothermia in patients with ST‐segment elevation myocardial infarction. Catheterization and Cardiovascular Interventions, 92(7), E433–E440. https://doi.org/10.1002/ccd.27864
758Scally, C., Rudd, A., Mezincescu, A., Wilson, H., Srivanasan, J., Horgan, G., Broadhurst, P., Newby, D. E., Henning, A., & Dawson, D. K. (2018). Persistent long-term structural, functional, and metabolic changes after stress-induced (takotsubo) cardiomyopathy. Circulation, 137(10), 1039–1048. https://doi.org/10.1161/CIRCULATIONAHA.117.031841
757Jablonowski, R., Chaudhry, U., vand der Pals, J., Engblom, H., Arheden, H., Heiberg, E., Wu, K. C., Borgquist, R., & Carlsson, M. (2018). Cardiovascular magnetic resonance to predict appropriate ICD therapy in ischemic and non-ischemic cardiomyopathy patients using late gadolinium enhancement border zone: comparison of four analysis methods. In Circulation: Cardiovascular Imaging (Vol. 11, Issue 1, pp. 139–148). https://doi.org/10.1161/CIRCIMAGING.117.007213
756Myhre, P. L., Omland, T., Sarvari, S. I., Ukkonen, H., Rademakers, F., Engvall, J. E., Hagve, T. A., Nagel, E., Sicari, R., Zamorano, J. L., Monaghan, M., D’hooge, J., Edvardsen, T., & Røsjø, H. (2018). Cardiac troponin T concentrations, reversible myocardial ischemia, and indices of left ventricular remodeling in patients with suspected stable angina pectoris: A DOPPLER-CIP substudy. Clinical Chemistry, 64(9), 1371–1379. https://doi.org/10.1373/clinchem.2018.288894
755Frieberg, P., Sjöberg, P., Revstedt, J., Heiberg, E., Liuba, P., Carlsson, M., Sjoberg, P., Revstedt, J., Heiberg, E., Liuba, P., & Carlsson, M. (2018). Simulation of aortopulmonary collateral flow in Fontan patients for use in prediction of interventional outcomes. Clinical Physiology and Functional Imaging, 38(4), 622–629. https://doi.org/10.1111/cpf.12457
754Stephensen, S. S., Ostenfeld, E., Steding-Ehrenborg, K., Thilén, U., Heiberg, E., Arheden, H., Carlsson, M., Thilen, U., Heiberg, E., Arheden, H., & Carlsson, M. (2018). Alterations in ventricular pumping in patients with atrial septal defect at rest, during dobutamine stress and after defect closure. Clinical Physiology and Functional Imaging, 38(5), 830–839. https://doi.org/10.1111/cpf.12491
753Akil, S., Hedén, B., Pahlm, O., Carlsson, M., Arheden, H., & Engblom, H. (2018). Gender aspects on exercise-induced ECG changes in relation to scintigraphic evidence of myocardial ischaemia. Clinical Physiology and Functional Imaging, 38(5), 798–807. https://doi.org/10.1111/cpf.12483
752Pahlm, U., Seemann, F., Engblom, H., Gyllenhammar, T., Halvorsen, S., Hansen, H. S., Erlinge, D., Atar, D., Heiberg, E., Arheden, H., & Carlsson, M. (2018). Longitudinal left ventricular function is globally depressed within a week of STEMI. Clinical Physiology and Functional Imaging, 38(6), 1029–1037. https://doi.org/10.1111/cpf.12521
751Grytaas, M. A., Sellevåg, K., Thordarson, H. B., Husebye, E. S., Løvås, K., & Larsen, T. H. (2018). Cardiac magnetic resonance imaging of myocardial mass and fibrosis in primary aldosteronism. Endocrine Connections, 7(3), 413–424. https://doi.org/10.1530/EC-18-0039
750Bredfelt, A., Rådegran, G., Hesselstrand, R., Arheden, H., & Ostenfeld, E. (2018). Increased right atrial volume measured with cardiac magnetic resonance is associated with worse clinical outcome in patients with pre-capillary pulmonary hypertension. ESC Heart Failure, 5(5), 864–875. https://doi.org/10.1002/ehf2.12304
749Azarov, J. E., Demidova, M. M., Koul, S., Van Der Pals, J., Erlinge, D., & Platonov, P. G. (2018). Progressive increase of the Tpeak-Tend interval is associated with ischaemia-induced ventricular fibrillation in a porcine myocardial infarction model. Europace, 20(5), 880–886. https://doi.org/10.1093/europace/eux104
748Hemmeryckx, B., Feng, Y., Frederix, L., Lox, M., Trenson, S., Vreeken, R., Lu, H. R., Gallacher, D., Ni, Y., & Lijnen, H. R. (2018). Evaluation of cardiac arrhythmic risks using a rabbit model of left ventricular systolic dysfunction. European Journal of Pharmacology, 832(February), 145–155. https://doi.org/10.1016/j.ejphar.2018.05.026
747Zaremba, T., Brøndberg, A. K., Jensen, H. K., & Kim, W. Y. (2018). Cardiac magnetic resonance characteristics in young survivors of aborted sudden cardiac death. European Journal of Radiology, 105(June), 141–147. https://doi.org/10.1016/j.ejrad.2018.06.004
746Casas, B., Viola, F., Cedersund, G., Bolger, A. F., Karlsson, M., Carlhäll, C. J., & Ebbers, T. (2018). Non-invasive assessment of systolic and diastolic cardiac function during rest and stress conditions using an integrated image-modeling approach. Frontiers in Physiology, 9(OCT), 1–14. https://doi.org/10.3389/fphys.2018.01515
745Brenes, J. C., Doltra, A., & Prat, S. (2018). Cardiac magnetic resonance imaging in the evaluation of patients with hypertrophic cardiomyopathy. Global Cardiology Science and Practice, 2018(3), 1349–1367. https://doi.org/10.21542/gcsp.2018.22
744Duchateau, N., Sermesant, M., Delingette, H., & Ayache, N. (2018). Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences from Real Healthy Cases. IEEE Transactions on Medical Imaging, 37(3), 755–766. https://doi.org/10.1109/TMI.2017.2714343
743Queiros, S., Morais, P., Barbosa, D., Fonseca, J. C., Vilaca, J. L., & D’Hooge, J. (2018). MITT: Medical Image Tracking Toolbox. IEEE Transactions on Medical Imaging, 37(11), 2547–2557. https://doi.org/10.1109/TMI.2018.2840820
742Aristokleous, N., Houston, J. G., Browne, L. D., Broderick, S. P., Kokkalis, E., Gandy, S. J., & Walsh, M. T. (2018). Morphological and hemodynamical alterations in brachial artery and cephalic vein. An image-based study for preoperative assessment for vascular access creation. International Journal for Numerical Methods in Biomedical Engineering, 34(11), 1–16. https://doi.org/10.1002/cnm.3136
741Helsen, F., De Meester, P., Van De Bruaene, A., Gabriels, C., Santens, B., Claeys, M., Claessen, G., Goetschalckx, K., Buys, R., Gewillig, M., Troost, E., Voigt, J. U., Claus, P., Bogaert, J., & Budts, W. (2018). Right ventricular systolic dysfunction at rest is not related to decreased exercise capacity in patients with a systemic right ventricle. International Journal of Cardiology, 260, 66–71. https://doi.org/10.1016/j.ijcard.2018.03.029
740Kočková, R., Sedláček, K., Wichterle, D., Šikula, V., Tintěra, J., Jansová, H., Pravečková, A., Langová, R., Krýže, L., El-Husseini, W., Segeťová, M., & Kautzner, J. (2018). Cardiac resynchronization therapy guided by cardiac magnetic resonance imaging: A prospective, single-centre randomized study (CMR-CRT). International Journal of Cardiology, 270, 325–330. https://doi.org/10.1016/j.ijcard.2018.06.009
739Schäfer, M., Morgan, G. J., Mitchell, M. B., Ross, M., Barker, A. J., Hunter, K. S., Fonseca, B., DiMaria, M., Vargas, D., Ivy, D. D., Wilson, N., & Browne, L. P. (2018). Impact of different coarctation therapies on aortic stiffness: phase-contrast MRI study. International Journal of Cardiovascular Imaging, 34(9), 1459–1469. https://doi.org/10.1007/s10554-018-1357-6
738Pontre, K. G. B., Cowan, C. J. O. B. R., Gilbert, K., Pontre, B., Occleshaw, C. J., Cowan, B. R., Suinesiaputra, A., & Young, A. A. (2018). 4D modelling for rapid assessment of biventricular function in congenital heart disease. International Journal of Cardiovascular Imaging, 34(3), 407–417. https://doi.org/10.1007/s10554-017-1236-6
737Zajac, J., Eriksson, J., Alehagen, U., Ebbers, T., Bolger, A. F., & Carlhäll, C. J. (2018). Mechanical dyssynchrony alters left ventricular flow energetics in failing hearts with LBBB: a 4D flow CMR pilot study. International Journal of Cardiovascular Imaging, 34(4), 587–596. https://doi.org/10.1007/s10554-017-1261-5
736Tyrankiewicz, U., Olkowicz, M., Skórka, T., Jablonska, M., Orzylowska, A., Bar, A., Gonet, M., Berkowicz, P., Jasinski, K., Zoladz, J. A., Smolenski, R. T., & Chlopicki, S. (2018). Activation pattern of ACE2/Ang-(1-7) and ACE/Ang II pathway in course of heart failure assessed by multiparametric MRI in vivo in Tg-q∗44 mice. Journal of Applied Physiology, 124(1), 52–65. https://doi.org/10.1152/japplphysiol.00571.2017
735Gupta, V., Lantz, J., Henriksson, L., Engvall, J., Karlsson, M., Persson, A., & Ebbers, T. (2018). Automated three-dimensional tracking of the left ventricular myocardium in time-resolved and dose-modulated cardiac CT images using deformable image registration. Journal of Cardiovascular Computed Tomography, 12(2), 139–148. https://doi.org/10.1016/j.jcct.2018.01.005
734Roy, C., Slimani, A., De Meester, C., Amzulescu, M., Pasquet, A., Vancraeynest, D., Beauloye, C., Vanoverschelde, J. L., Gerber, B. L., & Pouleur, A. C. (2018). Associations and prognostic significance of diffuse myocardial fibrosis by cardiovascular magnetic resonance in heart failure with preserved ejection fraction. Journal of Cardiovascular Magnetic Resonance, 20(1), 1–12. https://doi.org/10.1186/s12968-018-0477-4
733Engblom, H., Kanski, M., Kopic, S., Nordlund, D., Xanthis, C. G., Jablonowski, R., Heiberg, E., Aletras, A. H., Carlsson, M., & Arheden, H. (2018). Importance of standardizing timing of hematocrit measurement when using cardiovascular magnetic resonance to calculate myocardial extracellular volume (ECV) based on pre- and post-contrast T1 mapping. Journal of Cardiovascular Magnetic Resonance, 20(1), 1–7. https://doi.org/10.1186/s12968-018-0464-9
732Hemmeryckx, B., Feng, Y., Frederix, L., Lox, M., Wu, J., Heggermont, W., Ni, Y., & Lijnen, H. R. (2018). Prolonged High-Fat Diet Feeding of WHHLMI Rabbits does Not Aggravate Metabolic or Cardiac Dysfunction. Journal of Diabetes and Obesity, 5(1), 10–17. https://doi.org/10.15436/2376-0494.18.1803
731Allencherril, J., Fakhri, Y., Engblom, H., Heiberg, E., Carlsson, M., Dubois-Rande, J. L., Halvorsen, S., Hall, T. S., Larsen, A. I., Jensen, S. E., Arheden, H., Atar, D., Clemmensen, P., Ripa, M. S., & Birnbaum, Y. (2018). Correlation of anteroseptal ST elevation with myocardial infarction territories through cardiovascular magnetic resonance imaging. Journal of Electrocardiology, 51(4), 563–568. https://doi.org/10.1016/j.jelectrocard.2018.03.016
730Wieslander, B., Xia, X., Jablonowski, R., Axelsson, J., Klem, I., Nijveldt, R., Maynard, C., Schelbert, E. B., Sörensson, P., Sigfridsson, A., Chaudhry, U., Platonov, P. G., Borgquist, R., Engblom, H., Couderc, J.-P. P., Strauss, D. G., Atwater, B. D., & Ugander, M. (2018). The ability of the electrocardiogram in left bundle branch block to detect myocardial scar determined by cardiovascular magnetic resonance. Journal of Electrocardiology, 51(5), 779–786. https://doi.org/10.1016/j.jelectrocard.2018.05.019
729Axelsson, J., Wieslander, B., Jablonowski, R., Klem, I., Nijveldt, R., Schelbert, E. B., Sörensson, P., Sigfridsson, A., Chaudhry, U., Platonov, P. G., Borgquist, R., Engblom, H., Strauss, D. G., Arheden, H., Atwater, B. D., & Ugander, M. (2018). Ejection fraction in left bundle branch block is disproportionately reduced in relation to amount of myocardial scar. Journal of Electrocardiology, 51(6), 1071–1076. https://doi.org/10.1016/j.jelectrocard.2018.09.009
728Allencherril, J., Fakhri, Y., Engblom, H., Heiberg, E., Carlsson, M., Dubois-Rande, J. L., Halvorsen, S., Hall, T. S., Larsen, A. I., Jensen, S. E., Arheden, H., Atar, D., Clemmensen, P., Shah, D. J., Cheong, B., Sejersten, M., & Birnbaum, Y. (2018). Appropriateness of anteroseptal myocardial infarction nomenclature evaluated by late gadolinium enhancement cardiovascular magnetic resonance imaging. Journal of Electrocardiology, 51(2), 218–223. https://doi.org/10.1016/j.jelectrocard.2017.09.013
727Kuetting, D. L. R. R., Dabir, D., Luetkens, J., Feisst, A., Homsi, R., Thomas, D., Schild, H. H., & Sprinkart, A. M. (2018). Flip angle optimization for balanced SSFP: Cardiac cine imaging following the application of standard extracellular contrast agent (gadobutrol). Journal of Magnetic Resonance Imaging, 47(1), 255–261. https://doi.org/10.1002/jmri.25728
726Kvernby, S., Rönnerfalk, M., Warntjes, M., Carlhäll, C. J., Nylander, E., Engvall, J., Tamás, É., & Ebbers, T. (2018). Longitudinal changes in myocardial T1 and T2 relaxation times related to diffuse myocardial fibrosis in aortic stenosis; before and after aortic valve replacement. Journal of Magnetic Resonance Imaging, 48(3), 799–807. https://doi.org/10.1002/jmri.25980
725Fredriksson, A., Trzebiatowska-Krzynska, A., Dyverfeldt, P., Engvall, J., Ebbers, T., & Carlhäll, C. J. (2018). Turbulent kinetic energy in the right ventricle: Potential MR marker for risk stratification of adults with repaired Tetralogy of Fallot. Journal of Magnetic Resonance Imaging, 47(4), 1043–1053. https://doi.org/10.1002/jmri.25830
724Stenzig, J., Schneeberger, Y., Löser, A., Peters, B. S., Schaefer, A., Zhao, R. R., Ling, S., Höppner, G., Geertz, B., Hirt, M. N., Tan, W., Wong, E., Reichenspurner, H., Foo, R. S. Y. Y., Ng, S. L., Höppner, G., Geertz, B., Hirt, M. N., Tan, W., … Eschenhagen, T. (2018). Pharmacological inhibition of DNA methylation attenuates pressure overload-induced cardiac hypertrophy in rats. Journal of Molecular and Cellular Cardiology, 120(September 2017), 53–63. https://doi.org/10.1016/j.yjmcc.2018.05.012
723Hansson, N. H., Harms, H. J., Kim, W. Y., Nielsen, R., Tolbod, L. P., Frøkiær, J., Bouchelouche, K., Poulsen, S. H., Wiggers, H., Parner, E. T., & Sörensen, J. (2018). Test–retest repeatability of myocardial oxidative metabolism and efficiency using standalone dynamic 11C-acetate PET and multimodality approaches in healthy controls. Journal of Nuclear Cardiology, 25(6), 1929–1936. https://doi.org/10.1007/s12350-018-1302-z
722Carlsson, M., Heiberg, E., Ostenfeld, E., Steding-Ehrenborg, K., Kovács, S. J., Flachskampf, F., & Arheden, H. (2018). Functional Contribution of Circumferential Versus Longitudinal Strain: Different Concepts Suggest Conflicting Results. Journal of the American College of Cardiology, 71(2), 254–255. https://doi.org/10.1016/j.jacc.2017.09.1156
721Helsen, F., Claus, P., Van De Bruaene, A., Claessen, G., La Gerche, A., De Meester, P., Claeys, M., Gabriels, C., Petit, T., Santens, B., Troost, E., Voigt, J. U., Bogaert, J., & Budts, W. (2018). Advanced imaging to phenotype patients with a systemic right ventricle. Journal of the American Heart Association, 7(20). https://doi.org/10.1161/JAHA.118.009185
720Amzulescu, M. S., Langet, H., Saloux, E., Manrique, A., Slimani, A., Allain, P., Roy, C., de Meester, C., Pasquet, A., Somphone, O., De Craene, M., Vancraeynest, D., Pouleur, A. C., Vanoverschelde, J. L., & Gerber, B. L. (2018). Improvements of Myocardial Deformation Assessment by Three-Dimensional Speckle-Tracking versus Two-Dimensional Speckle-Tracking Revealed by Cardiac Magnetic Resonance Tagging. Journal of the American Society of Echocardiography, 31(9), 1021–1033.e1. https://doi.org/10.1016/j.echo.2018.04.009
719Nabeshima, Y., Nagata, Y., Negishi, K., Seo, Y., Ishizu, T., Sato, K., Aonuma, K., Koto, D., Izumo, M., Akashi, Y. J., Yamashita, E., Oshima, S., Otsuji, Y., & Takeuchi, M. (2018). Direct Comparison of Severity Grading Assessed by Two-Dimensional, Three-Dimensional, and Doppler Echocardiography for Predicting Prognosis in Asymptomatic Aortic Stenosis. Journal of the American Society of Echocardiography, 31(10), 1080–1090.e3. https://doi.org/10.1016/j.echo.2018.05.006
718He, Y., Shiu, Y. T., Pike, D. B., Roy-Chaudhury, P., Cheung, A. K., & Berceli, S. A. (2018). Comparison of hemodialysis arteriovenous fistula blood flow rates measured by Doppler ultrasound and phase-contrast magnetic resonance imaging. Journal of Vascular Surgery, 68(6), 1848–1857.e2. https://doi.org/10.1016/j.jvs.2018.02.043
717Tougaard, R. S., Hansen, E. S. S., Laustsen, C., Lindhardt, J., Schroeder, M., Bøtker, H. E., Kim, W. Y., Wiggers, H., & Stødkilde-Jørgensen, H. (2018). Acute hypertensive stress imaged by cardiac hyperpolarized [1-13C]pyruvate magnetic resonance. Magnetic Resonance in Medicine, 80(5), 2053–2061. https://doi.org/10.1002/mrm.27164
716Holst, K., Ugander, M., & Sigfridsson, A. (2018). Respiratory variation in left ventricular cardiac function with 3 <scp>D</scp> double golden‐angle whole‐heart cine imaging. Magnetic Resonance in Medicine, 79(5), 2693–2701. https://doi.org/10.1002/mrm.26942
715Holst, K., Ugander, M., & Sigfridsson, A. (2018). Respiratory variation in left ventricular cardiac function with 3D double golden-angle whole-heart cine imaging. Magnetic Resonance in Medicine, 79(5), 2693–2701. https://doi.org/10.1002/mrm.26942
714MacDonald, C. J., Gandy, S., Avison, E. C. M. M., Matthew, S., Ross, R., & Houston, J. G. (2018). Non-contrast MRI methods as a tool for the pre-operative assessment and surveillance of the arterio-venous fistula for haemodialysis. Magnetic Resonance Materials in Physics, Biology and Medicine, 31(6), 735–745. https://doi.org/10.1007/s10334-018-0700-1
713Bustamante, M., Gupta, V., Forsberg, D., Carlhäll, C. J., Engvall, J., & Ebbers, T. (2018). Automated multi-atlas segmentation of cardiac 4D flow MRI. Medical Image Analysis, 49, 128–140. https://doi.org/10.1016/j.media.2018.08.003
712Larroza, A., López-Lereu, M. P., Monmeneu, J. V., Gavara, J., Chorro, F. J., Bodí, V., & Moratal, D. (2018). Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable segments in patients with chronic myocardial infarction. Medical Physics, 45(4), 1471–1480. https://doi.org/10.1002/mp.12783
711Foo, K. S., Lehtinen, M. L., Leung, C. Y., Lian, X., Xu, J., Keung, W., Geng, L., Kolstad, T. R. S. S. S., Thams, S., Wong, A. O. tik, Wong, N., Bylund, K., Zhou, C., He, X., Jin, S. B., Clarke, J., Lendahl, U., Li, R. A., Louch, W. E., … Chien, K. R. (2018). Human ISL1+ Ventricular Progenitors Self-Assemble into an In Vivo Functional Heart Patch and Preserve Cardiac Function Post Infarction. Molecular Therapy, 26(7), 1644–1659. https://doi.org/10.1016/j.ymthe.2018.02.012
710Carlsson, L., Clarke, J. C., Yen, C., Gregoire, F., Albery, T., Billger, M., Egnell, A. C., Gan, L. M., Jennbacken, K., Johansson, E., Linhardt, G., Martinsson, S., Sadiq, M. W., Witman, N., Wang, Q. D., Chen, C. H., Wang, Y. P., Lin, S., Ticho, B., … Fritsche-Danielson, R. (2018). Biocompatible, Purified VEGF-A mRNA Improves Cardiac Function after Intracardiac Injection 1 Week Post-myocardial Infarction in Swine. Molecular Therapy – Methods and Clinical Development, 9(June), 330–346. https://doi.org/10.1016/j.omtm.2018.04.003
709Schäfer, M., Truong, U., Browne, L. P., Morgan, G. J., Ross, M., Ing, R., Hunter, K. S., Kheyfets, V. O., Abman, S. H., Ivy, D. D., & Wilson, N. (2018). Measuring Flow Hemodynamic Indices and Oxygen Consumption in Children with Pulmonary Hypertension: A Comparison of Catheterization and Phase-Contrast MRI. Pediatric Cardiology, 39(2), 268–274. https://doi.org/10.1007/s00246-017-1751-1
708Seemann, F., Baldassarre, L. A., Llanos-Chea, F., Gonzales, R. A., Grunseich, K., Hu, C., Sugeng, L., Meadows, J., Heiberg, E., & Peters, D. C. (2018). Assessment of diastolic function and atrial remodeling by MRI – validation and correlation with echocardiography and filling pressure. Physiological Reports, 6(17), 1–11. https://doi.org/10.14814/phy2.13828
707Blain, A. M., Greally, E., McClorey, G., Manzano, R., Betts, C. A., Godfrey, C., O’Donovan, L., Coursindel, T., Gait, M. J., Wood, M. J., MacGowan, G. A., Straub, V. W., O’Donovan, L., Coursindel, T., Gait, M. J., Wood, M. J., MacGowan, G. A., & Straub, V. W. (2018). Peptide-conjugated phosphodiamidate oligomer-mediated exon skipping has benefits for cardiac function in mdx and Cmah-/-mdx mouse models of Duchenne muscular dystrophy. PLoS ONE, 13(6). https://doi.org/10.1371/journal.pone.0198897
706Gertz, R. J., Lange, T., Kowallick, J. T., Backhaus, S. J., Steinmetz, M., Staab, W., Kutty, S., Hasenfuß, G., Lotz, J., & Schuster, A. (2018). Correction: Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking (PLoS One (2018) 13:3 (e0193746) DOI: 10.1371/journal.pone.0193746). PLoS ONE, 13(6), 1–16. https://doi.org/10.1371/journal.pone.0199489
705Trzebiatowska-Krzynska, A., Swahn, E., Wallby, L., Nielsen, N. E., Carlhäll, C. J., Brudin, L., & Engvall, J. E. (2018). Afterload dependence of right ventricular myocardial deformation: A comparison between tetralogy of Fallot and atrially corrected transposition of the great arteries in adult patients. PLoS ONE, 13(9), 1–19. https://doi.org/10.1371/journal.pone.0204435
704Hannuksela, M., Johansson, B., & Carlberg, B. (2018). Aortic stiffness in families with inherited non-syndromic thoracic aortic disease. Scandinavian Cardiovascular Journal, 52(6), 301–307. https://doi.org/10.1080/14017431.2018.1546895
703Jia, X., Heiberg, E., Ripa, M. S., Engblom, H., Halvorsen, S., Arheden, H., Atar, D., Clemmensen, P., & Birnbaum, Y. (2018). Correlation of ST changes in leads V4–V6 to area of ischemia by CMR in inferior STEMI. Scandinavian Cardiovascular Journal, 52(4), 189–195. https://doi.org/10.1080/14017431.2018.1458145
702Abdula, G., Nickander, J., Sörensson, P., Lundin, M., Kellman, P., Sigfridsson, A., & Ugander, M. (2018). Synthetic late gadolinium enhancement cardiac magnetic resonance for diagnosing myocardial scar. Scandinavian Cardiovascular Journal, 52(3), 127–132. https://doi.org/10.1080/14017431.2018.1449960
701Artamonov, M. V., Sonkusare, S. K., Good, M. E., Momotani, K., Eto, M., Isakson, B. E., Le, T. H., Cope, E. L., Derewenda, Z. S., Derewenda, U., & Somlyo, A. V. (2018). RSK2 contributes to myogenic vasoconstriction of resistance arteries by activating smooth muscle myosin and the Na+/H+ exchanger. Science Signaling, 11(554). https://doi.org/10.1126/scisignal.aar3924
700Krishnan, B., Massilamany, C., Basavalingappa, R. H., Gangaplara, A., Rajasekaran, R. A., Afzal, M. Z., Khalilzad-Sharghi, V., Zhou, Y., Riethoven, J.-J., Nandi, S. S., Mishra, P. K., Sobel, R. A., Strande, J. L., Steffen, D., & Reddy, J. (2018). Epitope Mapping of SERCA2a Identifies an Antigenic Determinant That Induces Mainly Atrial Myocarditis in A/J Mice. The Journal of Immunology, 200(2), 523–537. https://doi.org/10.4049/jimmunol.1701090
699Qvarlander, S., Ambarki, K., Wåhlin, A., Jacobsson, J., Birgander, R., Malm, J., Eklund, A., Wahlin, A., Jacobsson, J., Birgander, R., Malm, J., Eklund, A., Wåhlin, A., Jacobsson, J., Birgander, R., Malm, J., & Eklund, A. (2017). Cerebrospinal fluid and blood flow patterns in idiopathic normal pressure hydrocephalus. Acta Neurologica Scandinavica, 135(5), 576–584. https://doi.org/10.1111/ane.12636
698Kopic, S., Stephensen, S. S., Heiberg, E., Arheden, H., Bonhoeffer, P., Ersbøll, M., Vejlstrup, N., Søndergaard, L., & Carlsson, M. (2017). Isolated pulmonary regurgitation causes decreased right ventricular longitudinal function and compensatory increased septal pumping in a porcine model. Acta Physiologica, 221(3), 163–173. https://doi.org/10.1111/apha.12904
697Arvidsson, P. M., Töger, J., Carlsson, M., Steding-Ehrenborg, K., Pedrizzetti, G., Heiberg, E., & Arheden, H. (2017). Left and right ventricular hemodynamic forces in healthy volunteers and elite athletes assessed with 4D flow magnetic resonance imaging. American Journal of Physiology – Heart and Circulatory Physiology, 312(2), H314–H328. https://doi.org/10.1152/ajpheart.00583.2016
696Chaudhry, U., Platonov, P. G., Jablonowski, R., Couderc, J. P., Engblom, H., Xia, X., Wieslander, B., Atwater, B. D., Strauss, D. G., Van der Pals, J., Ugander, M., Carlsson, M., & Borgquist, R. (2017). Evaluation of the ECG based Selvester scoring method to estimate myocardial scar burden and predict clinical outcome in patients with left bundle branch block, with comparison to late gadolinium enhancement <scp>CMR</scp> imaging. Annals of Noninvasive Electrocardiology, 22(5), 1–7. https://doi.org/10.1111/anec.12440
695Petersson, R., Mosen, H., Steding-Ehrenborg, K., Carlson, J., Faxen, L., Mohtadi, A., Platonov, P. G., Holmqvist, F., Mosén, H., Steding-Ehrenborg, K., Carlson, J., Faxén, L., Mohtadi, A., Platonov, P. G., & Holmqvist, F. (2017). Physiological variation in left atrial transverse orientation does not influence orthogonal P-wave morphology. Annals of Noninvasive Electrocardiology, 22(2), 1–6. https://doi.org/10.1111/anec.12392
694Ramos, C., Brito, R., González-Montero, J., Valls, N., Gormaz, J. G., Prieto, J. C., Aguayo, R., Puentes, Á., Noriega, V., Pereira, G., Palavecino, T., & Rodrigo, R. (2017). Effects of a novel ascorbate-based protocol on infarct size and ventricle function in acute myocardial infarction patients undergoing percutaneous coronary angioplasty. Archives of Medical Science, 13(3), 558–567. https://doi.org/10.5114/aoms.2016.59713
693Pryds, K., Nielsen, R. R., Jorsal, A., Hansen, M. S., Ringgaard, S., Refsgaard, J., Kim, W. Y., Petersen, A. K., Bøtker, H. E., & Schmidt, M. R. (2017). Effect of long-term remote ischemic conditioning in patients with chronic ischemic heart failure. Basic Research in Cardiology, 112(6), 1–11. https://doi.org/10.1007/s00395-017-0658-6
692Browning, J. R., Hertzberg, J. R., Schroeder, J. D., & Fenster, B. E. (2017). 4D flow assessment of vorticity in right ventricular diastolic dysfunction. Bioengineering, 4(2). https://doi.org/10.3390/bioengineering4020030
691Ellwein, L., Samyn, M. M., Danduran, M., Schindler-Ivens, S., Liebham, S., & LaDisa, J. F. (2017). Toward translating near-infrared spectroscopy oxygen saturation data for the non-invasive prediction of spatial and temporal hemodynamics during exercise. Biomechanics and Modeling in Mechanobiology, 16(1), 75–96. https://doi.org/10.1007/s10237-016-0803-4
690Wang, J., Xiang, B., Deng, J., Lin, H. Y., Freed, D. H., Arora, R. C., & Tian, G. (2017). Corrigendum to “Preservation of Myocardial Perfusion and Function by Keeping Hypertrophied Heart Empty and Beating for Valve Surgery: An In Vivo MR Study of Pig Hearts.” BioMed Research International, 2017, 6490349. https://doi.org/10.1155/2017/6490349
689Zuo, Z., Subgang, A., Abaei, A., Rottbauer, W., Stiller, D., Ma, G., & Rasche, V. (2017). Assessment of longitudinal reproducibility of mice LV function parameters at 11.7 T derived from self-gated CINE MRI. BioMed Research International, 2017(Lv). https://doi.org/10.1155/2017/8392952
688Nemavhola, F. (2017). Fibrotic infarction on the LV free wall may alter the mechanics of healthy septal wall during passive filling. Bio-Medical Materials and Engineering, 28(6), 579–599. https://doi.org/10.3233/BME-171698
687Castonguay, A., Lefebvre, J., Pouliot, P., Avti, P., Moeini, M., & Lesage, F. (2017). Serial optical coherence scanning reveals an association between cardiac function and the heart architecture in the aging rodent heart. Biomedical Optics Express, 8(11), 5027. https://doi.org/10.1364/boe.8.005027
686Arrieta, C., Uribe, S., Sing-Long, C., Hurtado, D., Andia, M., Irarrazaval, P., & Tejos, C. (2017). Simultaneous left and right ventricle segmentation using topology preserving level sets. Biomedical Signal Processing and Control, 33, 88–95. https://doi.org/10.1016/j.bspc.2016.11.002
685Asgeirsson, D., Hedström, E., Jögi, J., Pahlm, U., Steding-Ehrenborg, K., Engblom, H., Arheden, H., & Carlsson, M. (2017). Longitudinal shortening remains the principal component of left ventricular pumping in patients with chronic myocardial infarction even when the absolute atrioventricular plane displacement is decreased. BMC Cardiovascular Disorders, 17(1), 1–9. https://doi.org/10.1186/s12872-017-0641-z
684Weir-McCall, J. R., Khan, F., Cassidy, D. B., Thakur, A., Summersgill, J., Matthew, S. Z., Adams, F., Dove, F., Gandy, S. J., Colhoun, H. M., Belch, J. J. F. F., & Houston, J. G. (2017). Effects of inaccuracies in arterial path length measurement on differences in MRI and tonometry measured pulse wave velocity. BMC Cardiovascular Disorders, 17(1), 1–9. https://doi.org/10.1186/s12872-017-0546-x
683Tricot, B., Descoteaux, M., Dumont, M., Chagnon, F., Tremblay, L., Carpentier, A., Lesur, O., Lepage, M., & Lalande, A. (2017). Improving the evaluation of cardiac function in rats at 7T with denoising filters: A comparison study. BMC Medical Imaging, 17(1), 1–7. https://doi.org/10.1186/s12880-017-0236-2
682Hedström, E., Ishida, M., Sepúlveda-Martínez, A., Salehi, D., Sperling, J., Engblom, H., & Nagel, E. (2017). The effect of initial teaching on evaluation of left ventricular volumes by cardiovascular magnetic resonance imaging: Comparison between complete and intermediate beginners and experienced observers. BMC Medical Imaging, 17(1), 1–11. https://doi.org/10.1186/s12880-017-0197-5
681Seemann, F., Pahlm, U., Steding-Ehrenborg, K., Ostenfeld, E., Erlinge, D., Dubois-Rande, J. L., Jensen, S. E., Atar, D., Arheden, H., Carlsson, M., & Heiberg, E. (2017). Time-resolved tracking of the atrioventricular plane displacement in Cardiovascular Magnetic Resonance (CMR) images. BMC Medical Imaging, 17(19), 19. https://doi.org/10.1186/s12880-017-0189-5
680Diment, L. E., Thompson, M. S., & Bergmann, J. H. M. (2017). Clinical efficacy and effectiveness of 3D printing: A systematic review. BMJ Open, 7(12), e016891. https://doi.org/10.1136/bmjopen-2017-016891
679Axelgaard, S., Holmboe, S., Ringgaard, S., Hillgaard, T. K., Andersen, S., Hansen, M. S., Andersen, A., & Nielsen-Kudsk, J. E. (2017). Effects of chronic treprostinil treatment on experimental right heart hypertrophy and failure. Cardiology in the Young, 27(1), 90–100. https://doi.org/10.1017/S1047951116000160
678Luiz De Santi, G., Vieira de Carvalho, E. E., Caetano Costa, D., César Crescêncio, J., Schmidt, A., Marin-Neto, J. A., & Gallo Júnior, L. (2017). Influence of aerobic exercise training on left ventricular remodeling and neurohumoral response in patients with myocardial infarction. Cardiovascular Disorders and Medicine, 2(3). https://doi.org/10.15761/cdm.1000133
677Kalfon, R., Koren, L., Aviram, S., Schwartz, O., Hai, T., & Aronheim, A. (2017). ATF3 expression in cardiomyocytes preserves homeostasis in the heart and controls peripheral glucose tolerance. Cardiovascular Research, 113(2), 134–146. https://doi.org/10.1093/cvr/cvw228
676Jorstig, S., Waldenborg, M., Lidén, M., & Thunberg, P. (2017). Right ventricular ejection fraction measurements using two-dimensional transthoracic echocardiography by applying an ellipsoid model. Cardiovascular Ultrasound, 15(1), 1–9. https://doi.org/10.1186/s12947-017-0096-5
675Bartolucci, J., Verdugo, F. J., González, P. L., Larrea, R. E., Abarzua, E., Goset, C., Rojo, P., Palma, I., Lamich, R., Pedreros, P. A., Valdivia, G., Lopez, V. M., Nazzal, C., Alcayaga-Miranda, F., Cuenca, J., Brobeck, M. J., Patel, A. N., Figueroa, F. E., & Khoury, M. (2017). Safety and efficacy of the intravenous infusion of umbilical cord mesenchymal stem cells in patients with heart failure: A phase 1/2 randomized controlled trial (RIMECARD trial [Randomized clinical trial of intravenous infusion umbilical cord mesenchymal . Circulation Research, 121(10), 1192–1204. https://doi.org/10.1161/CIRCRESAHA.117.310712
674Amzulescu, M. S., Langet, H., Saloux, E., Manrique, A., Boileau, L., Slimani, A., Allain, P., Roy, C., de Meester, C., Pasquet, A., De Craene, M., Vancraeynest, D., Pouleur, A.-C. C., Vanoverschelde, J.-L. L. J. L. J., & Gerber, B. L. (2017). Head-to-Head Comparison of Global and Regional Two-Dimensional Speckle Tracking Strain Versus Cardiac Magnetic Resonance Tagging in a Multicenter Validation Study. Circulation. Cardiovascular Imaging, 10(11), 1–11. https://doi.org/10.1161/CIRCIMAGING.117.006530
673Nagata, Y., Wu, V. C. C., Kado, Y., Otani, K., Lin, F. C., Otsuji, Y., Negishi, K., & Takeuchi, M. (2017). Prognostic Value of Right Ventricular Ejection Fraction Assessed by Transthoracic 3D Echocardiography. Circulation: Cardiovascular Imaging, 10(2). https://doi.org/10.1161/CIRCIMAGING.116.005384
672Jablonowski, R., Chaudhry, U., Van Der Pals, J., Engblom, H., Arheden, H., Heiberg, E., Wu, K. C., Borgquist, R., & Carlsson, M. (2017). Cardiovascular magnetic resonance to predict appropriate implantable cardioverter defibrillator therapy in ischemic and nonischemic cardiomyopathy patients using late gadolinium enhancement border zone comparison of four analysis methods. Circulation: Cardiovascular Imaging, 10(9), 1–9. https://doi.org/10.1161/CIRCIMAGING.116.006105
671Hansson, N. H., Sörensen, J., Harms, H. J., Kim, W. Y., Nielsen, R., Tolbod, L. P., Frøkiær, J., Bouchelouche, K., Dodt, K. K., Sihm, I., Poulsen, S. H., & Wiggers, H. (2017). Metoprolol Reduces Hemodynamic and Metabolic Overload in Asymptomatic Aortic Valve Stenosis Patients: A Randomized Trial. Circulation: Cardiovascular Imaging, 10(10), 1–9. https://doi.org/10.1161/CIRCIMAGING.117.006557
670Schäfer, M., Ivy, D. D., Abman, S. H., Barker, A. J., Browne, L. P., Fonseca, B., Kheyfets, V., Hunter, K. S., & Truong, U. (2017). Apparent Aortic Stiffness in Children with Pulmonary Arterial Hypertension. Circulation: Cardiovascular Imaging, 10(2), 1–9. https://doi.org/10.1161/CIRCIMAGING.116.005817
669Chiodi, E., Nardozza, M., Gamberini, M. R., Pepe, A., Lombardi, M., Benea, G., & Mele, D. (2017). Left ventricle remodeling in patients with $β$-thalassemia major. An emerging differential diagnosis with left ventricle noncompaction disease. Clinical Imaging, 45, 58–64. https://doi.org/10.1016/j.clinimag.2017.05.010
668Hedström, E., Voigt, T., Greil, G., Schaeffter, T., & Nagel, E. (2017). Automatic T2* determination for quantification of iron load in heart and liver: a comparison between automatic inline Maximum Likelihood Estimate and the truncation and offset methods. Clinical Physiology and Functional Imaging, 37(3), 299–304. https://doi.org/10.1111/cpf.12303
667Köhler, B., Born, S., van Pelt, R. F. P. P., Hennemuth, A., Preim, U., & Preim, B. (2017). A Survey of Cardiac 4D PC-MRI Data Processing. Computer Graphics Forum, 36(6), 5–35. https://doi.org/10.1111/cgf.12803
666Doost, S. N., Zhong, L., Su, B., & Morsi, Y. S. (2017). Two-dimensional intraventricular flow pattern visualization using the image-based computational fluid dynamics. Computer Methods in Biomechanics and Biomedical Engineering, 20(5), 492–507. https://doi.org/10.1080/10255842.2016.1250891
665Park, C., Park, E. H., Kang, J., Zaheer, J., Lee, H. G., Lee, C. H., Chang, K., & Hong, K. S. (2017). MR assessment of acute pathologic process after myocardial infarction in a permanent ligation mouse model: Role of magnetic nanoparticle-contrasted MRI. Contrast Media and Molecular Imaging, 2017. https://doi.org/10.1155/2017/2870802
664Stephensen, S. S., Steding-Ehrenborg, K., Thilén, U., Holm, J., Hochbergs, P., Arheden, H., Carlsson, M., Thilen, U., Holm, J., Hochbergs, P., Arheden, H., Carlsson, M., Thilén, U., Holm, J., Hochbergs, P., Arheden, H., & Carlsson, M. (2017). Changes in blood volume shunting in patients with atrial septal defects: Assessment of heart function with cardiovascular magnetic resonance during dobutamine stress. European Heart Journal Cardiovascular Imaging, 18(10), 1145–1152. https://doi.org/10.1093/ehjci/jew176
663Larroza, A., Materka, A., López-Lereu, M. P., Monmeneu, J. V., Bodí, V., & Moratal, D. (2017). Differentiation between acute and chronic myocardial infarction by means of texture analysis of late gadolinium enhancement and cine cardiac magnetic resonance imaging. European Journal of Radiology, 92(April), 78–83. https://doi.org/10.1016/j.ejrad.2017.04.024
662Luetkens, J. A., Schlesinger-Irsch, U., Kuetting, D. L., Dabir, D., Homsi, R., Doerner, J., Schmeel, F. C., Fimmers, R., Sprinkart, A. M., Naehle, C. P., Schild, H. H., & Thomas, D. (2017). Feature-tracking myocardial strain analysis in acute myocarditis: diagnostic value and association with myocardial oedema. European Radiology, 27(11), 4661–4671. https://doi.org/10.1007/s00330-017-4854-4
661Kalfon, R., Haas, T., Shofti, R., Moskovitz, J. D., Schwartz, O., Suss-Toby, E., & Aronheim, A. (2017). c-Jun dimerization protein 2 (JDP2) deficiency promotes cardiac hypertrophy and dysfunction in response to pressure overload. International Journal of Cardiology, 249, 357–363. https://doi.org/10.1016/j.ijcard.2017.08.074
660Gho, J. M. I. H. I. H., van Es, R., van Slochteren, F. J., Hauer, A. J., van Oorschot, J. W. M. M., Doevendans, P. A., Leiner, T., Vink, A., Asselbergs, F. W., & Chamuleau, S. A. J. J. (2017). A systematic comparison of cardiovascular magnetic resonance and high resolution histological fibrosis quantification in a chronic porcine infarct model. International Journal of Cardiovascular Imaging, 33(11), 1797–1807. https://doi.org/10.1007/s10554-017-1187-y
659Satriano, A., Heydari, B., Narous, M., Exner, D. V., Mikami, Y., Attwood, M. M., Tyberg, J. V., Lydell, C. P., Howarth, A. G., Fine, N. M., & White, J. A. (2017). Clinical feasibility and validation of 3D principal strain analysis from cine MRI: comparison to 2D strain by MRI and 3D speckle tracking echocardiography. International Journal of Cardiovascular Imaging, 33(12), 1979–1992. https://doi.org/10.1007/s10554-017-1199-7
658Chouhan, M. D., Mookerjee, R. P., Bainbridge, A., Punwani, S., Jones, H., Davies, N., Walker-Samuel, S., Patch, D., Jalan, R., Halligan, S., Lythgoe, M. F., & Taylor, S. A. (2017). Caval subtraction 2D phase-contrast MRI to measure total liver and hepatic arterial blood flow. Investigative Radiology, 52(3), 170–176. https://doi.org/10.1097/RLI.0000000000000328
657Dodangeh, M., Gholami Bardeji, S., Gholami, Z., Jalli, R., Ravanfar Haghighi, R., & Sefidbakht, S. (2017). Denoising Effect on T2* Values in Magnetic Resonance Imaging with Application in Iron Load of Patients with Thalassaemia Major. Iranian Journal of Radiology, Special is(5), 1–24. https://doi.org/10.5812/iranjradiol.48196
656Zhang, S., Yeap, X. Y., DeBerge, M., Naresh, N. K., Wang, K., Jiang, Z., Wilcox, J. E., White, S. M., Morrow, J. P., Burridge, P. W., Procissi, D., Scott, E. A., Frazier, W., & Thorp, E. B. (2017). Acute CD47 Blockade During Ischemic Myocardial Reperfusion Enhances Phagocytosis-Associated Cardiac Repair. JACC: Basic to Translational Science, 2(4), 386–397. https://doi.org/10.1016/j.jacbts.2017.03.013
655Arheden, H. (2017). Myocardium at Risk by Early Gadolinium Enhancement MR Imaging: A Moving Target? JACC: Cardiovascular Imaging, 10(2), 140–142. https://doi.org/10.1016/j.jcmg.2016.03.020
654de Pauw, A., Andre, E., Sekkali, B., Bouzin, C., Esfahani, H., Barbier, N., Loriot, A., de Smet, C., Vanhoutte, L., Moniotte, S., Gerber, B., di Mauro, V., Catalucci, D., Feron, O., Hilfiker-Kleiner, D., & Balligand, J. L. (2017). Dnmt3a-mediated inhibition of Wnt in cardiac progenitor cells improves differentiation and remote remodeling after infarction. JCI Insight, 2(12). https://doi.org/10.1172/jci.insight.91810
653Kramer, L. A., Hasan, K. M., Sargsyan, A. E., Marshall-Goebel, K., Rittweger, J., Donoviel, D., Higashi, S., Mwangi, B., Gerlach, D. A., Bershad, E. M., Suarez, J. I., Venkatasubba Rao, C. P., Clark, J., Calvillo, E., Mulder, E., Strangman, G., Datta, S., Sangi-Haghpeykar, H., Limper, U., … Von Waechter, A. (2017). Quantitative MRI volumetry, diffusivity, cerebrovascular flow, and cranial hydrodynamics during head-down tilt and hypercapnia: The SPACECOT study. Journal of Applied Physiology, 122(5), 1155–1166. https://doi.org/10.1152/japplphysiol.00887.2016
652Grassi, B., Majerczak, J., Bardi, E., Buso, A., Comelli, M., Chlopicki, S., Guzik, M., Mavelli, I., Nieckarz, Z., Salvadego, D., Tyrankiewicz, U., Skórka, T., Bottinelli, R., Zoladz, J. A., & Pellegrino, M. A. (2017). Exercise training in Tgαq∗44 mice during the progression of chronic heart failure: Cardiac vs. peripheral (soleus muscle) impairments to oxidative metabolism. Journal of Applied Physiology, 123(2), 326–336. https://doi.org/10.1152/japplphysiol.00342.2017
651Andersson, M., Lantz, J., Ebbers, T., & Karlsson, M. (2017). Multidirectional WSS disturbances in stenotic turbulent flows: A pre- and post-intervention study in an aortic coarctation. Journal of Biomechanics, 51, 8–16. https://doi.org/10.1016/j.jbiomech.2016.11.064
650Kao, E., Kefayati, S., Amans, M. R., Faraji, F., Ballweber, M., Halbach, V., & Saloner, D. (2017). Flow patterns in the jugular veins of pulsatile tinnitus patients. Journal of Biomechanics, 52, 61–67. https://doi.org/10.1016/j.jbiomech.2016.12.008
649Pedrizzetti, G., Arvidsson, P. M., Töger, J., Borgquist, R., Domenichini, F., Arheden, H., & Heiberg, E. (2017). On estimating intraventricular hemodynamic forces from endocardial dynamics: A comparative study with 4D flow MRI. Journal of Biomechanics, 60, 203–210. https://doi.org/10.1016/j.jbiomech.2017.06.046
648De Palma, R., Sörensson, P., Verouhis, D., Pernow, J., & Saleh, N. (2017). Quantification of myocardium at risk in ST- elevation myocardial infarction: A comparison of contrast-enhanced steady-state free precession cine cardiovascular magnetic resonance with coronary angiographic jeopardy scores. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–10. https://doi.org/10.1186/s12968-017-0359-1
647Agger, P., Ilkjær, C., Laustsen, C., Smerup, M., Frandsen, J. R., Ringgaard, S., Pedersen, M., Partridge, J. B., Anderson, R. H., & Hjortdal, V. (2017). Changes in overall ventricular myocardial architecture in the setting of a porcine animal model of right ventricular dilation. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–16. https://doi.org/10.1186/s12968-017-0404-0
646Da Silveira, J. S., Smyke, M., Rich, A. V., Liu, Y., Jin, N., Scandling, D., Dickerson, J. A., Rochitte, C. E., Raman, S. V., Potter, L. C., Ahmad, R., & Simonetti, O. P. (2017). Quantification of aortic stenosis diagnostic parameters: Comparison of fast 3 direction and 1 direction phase contrast CMR and transthoracic echocardiography. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–12. https://doi.org/10.1186/s12968-017-0339-5
645Roy, C., Slimani, A., De Meester, C., Amzulescu, M., Pasquet, A., Vancraeynest, D., Vanoverschelde, J. L., Pouleur, A. C., & Gerber, B. L. (2017). Age and sex corrected normal reference values of T1, T2 T2∗and ECV in healthy subjects at 3T CMR. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–12. https://doi.org/10.1186/s12968-017-0371-5
644Nordlund, D., Kanski, M., Jablonowski, R., Koul, S., Erlinge, D., Carlsson, M., Engblom, H., Aletras, A. H., & Arheden, H. (2017). Experimental validation of contrast-enhanced SSFP cine CMR for quantification of myocardium at risk in acute myocardial infarction. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–8. https://doi.org/10.1186/s12968-017-0325-y
643Engblom, H., Xue, H., Akil, S., Carlsson, M., Hindorf, C., Oddstig, J., Hedeer, F., Hansen, M. S., Aletras, A. H., Kellman, P., & Arheden, H. (2017). Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: A comparison between cardiovascular magnetic resonance imaging and positron emission tomography. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–9. https://doi.org/10.1186/s12968-017-0388-9
642Morais, P., Marchi, A., Bogaert, J. A. J. J. A., Dresselaers, T., Heyde, B., D’Hooge, J., & Bogaert, J. A. J. J. A. (2017). Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting. Journal of Cardiovascular Magnetic Resonance, 19(1), 1–13. https://doi.org/10.1186/s12968-017-0333-y
641Klem, I., Heiberg, E., Van Assche, L., Parker, M. A., Kim, H. W., Grizzard, J. D., Arheden, H., & Kim, R. J. (2017). Sources of variability in quantification of cardiovascular magnetic resonance infarct size – reproducibility among three core laboratories. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance, 19(1), 62. https://doi.org/10.1186/s12968-017-0378-y
640Slettom, G., Jonassen, A. K., Dahle, G. O., Seifert, R., Larsen, T. H., Berge, R. K., & Nordrehaug, J. E. (2017). Insulin Postconditioning Reduces Infarct Size in the Porcine Heart in a Dose-Dependent Manner. Journal of Cardiovascular Pharmacology and Therapeutics, 22(2), 179–188. https://doi.org/10.1177/1074248416657611
639Lemoine, S., Blanchart, K., Souplis, M., Lemaitre, A., Legallois, D., Coulbault, L., Simard, C., Allouche, S., Abraini, J. H., Hanouz, J. L., Rouet, R., Sallé, L., Guinamard, R., & Manrique, A. (2017). Argon Exposure Induces Postconditioning in Myocardial Ischemia-Reperfusion. Journal of Cardiovascular Pharmacology and Therapeutics, 22(6), 564–573. https://doi.org/10.1177/1074248417702891
638Ekeloef, S., Halladin, N., Fonnes, S., Jensen, S. E., Zaremba, T., Rosenberg, J., Jonsson, G., Aarøe, J., Gasbjerg, L. S., Rosenkilde, M. M., & Gögenur, I. (2017). Effect of Intracoronary and Intravenous Melatonin on Myocardial Salvage Index in Patients with ST-Elevation Myocardial Infarction: a Randomized Placebo Controlled Trial. Journal of Cardiovascular Translational Research, 10(5–6), 470–479. https://doi.org/10.1007/s12265-017-9768-7
637Sejersten, M., Fakhri, Y., Pape, M., Jensen, S. E., Heiberg, E., Engblom, H., Hall, T. S., Atar, D., & Clemmensen, P. (2017). Myocardium at risk assessed by electrocardiographic scores and cardiovascular magnetic resonance – a MITOCARE substudy. Journal of Electrocardiology, 50(6), 725–731. https://doi.org/10.1016/j.jelectrocard.2017.08.019
636Kantasis, G., Xanthis, C. G., Haris, K., Heiberg, E., & Aletras, A. H. (2017). Cloud GPU-based simulations for SQUAREMR. Journal of Magnetic Resonance, 274, 80–88. https://doi.org/10.1016/j.jmr.2016.11.007
635Haris, K., Hedström, E., Bidhult, S., Testud, F., Maglaveras, N., Heiberg, E., Hansson, S. R., Arheden, H., & Aletras, A. H. (2017). Self-gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study. Journal of Magnetic Resonance Imaging, 46(1), 207–217. https://doi.org/10.1002/jmri.25599
634Leong, C. O., Liew, Y. M., Bilgen, M., Abdul Aziz, Y. F., Chee, K. H., Chiam, Y. K., & Lim, E. (2017). Assessment of infarct-specific cardiac motion dysfunction using modeling and multimodal magnetic resonance merging. Journal of Magnetic Resonance Imaging, 45(2), 525–534. https://doi.org/10.1002/jmri.25390
633Yang, L. T., Yamashita, E., Nagata, Y., Kado, Y., Oshima, S., Otsuji, Y., & Takeuchi, M. (2017). Prognostic value of biventricular mechanical parameters assessed using cardiac magnetic resonance feature-tracking analysis to predict future cardiac events. Journal of Magnetic Resonance Imaging, 45(4), 1034–1045. https://doi.org/10.1002/jmri.25433
632Oddstig, J., Hindorf, C., Hedeer, F., Jögi, J., Arheden, H., Hansson, M. J., & Engblom, H. (2017). The radiation dose to overweighted patients undergoing myocardial perfusion SPECT can be significantly reduced: validation of a linear weight-adjusted activity administration protocol. Journal of Nuclear Cardiology, 24(6), 1912–1921. https://doi.org/10.1007/s12350-016-0628-7
631Hansson, N. H. S., Sörensen, J., Harms, H. J., Kim, W. Y., Nielsen, R., Tolbod, L. P., Frøkiær, J., Bouchelouche, K., Dodt, K. K., Sihm, I., Poulsen, S. H., & Wiggers, H. (2017). Myocardial oxygen consumption and efficiency in aortic valve stenosis patients with and without heart failure. Journal of the American Heart Association, 6(2), 1–10. https://doi.org/10.1161/JAHA.116.004810
630Schwarz, K., Ahearn, T., Srinivasan, J., Neil, C. J., Scally, C., Rudd, A., Jagpal, B., Frenneaux, M. P., Pislaru, C., Horowitz, J. D., & Dawson, D. K. (2017). Alterations in Cardiac Deformation, Timing of Contraction and Relaxation, and Early Myocardial Fibrosis Accompany the Apparent Recovery of Acute Stress-Induced (Takotsubo) Cardiomyopathy: An End to the Concept of Transience. Journal of the American Society of Echocardiography, 30(8), 745–755. https://doi.org/10.1016/j.echo.2017.03.016
629Shudo, Y., Goldstone, A. B., Cohen, J. E., Patel, J. B., Hopkins, M. S., Steele, A. N., Edwards, B. B., Kawamura, M., Miyagawa, S., Sawa, Y., & Woo, Y. J. (2017). Layered smooth muscle cell–endothelial progenitor cell sheets derived from the bone marrow augment postinfarction ventricular function. Journal of Thoracic and Cardiovascular Surgery, 154(3), 955–963. https://doi.org/10.1016/j.jtcvs.2017.04.081
628Homsi, R., Luetkens, J. A., Skowasch, D., Pizarro, C., Sprinkart, A. M., Gieseke, J., Meyer-Arend, J. M. H., Schild, H. H., & Naehle, C. P. (2017). Left ventricular myocardial fibrosis, atrophy, and impaired contractility in patients with pulmonary arterial hypertension and a preserved left ventricular function a cardiac magnetic resonance study. Journal of Thoracic Imaging, 32(1), 36–42. https://doi.org/10.1097/RTI.0000000000000248
627Marchesseau, S., Duchateau, N., & Delingette, H. (2017). Segmentation and registration coupling from short-axis cine MRI: Application to infarct diagnosis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10124 LNCS, 48–56. https://doi.org/10.1007/978-3-319-52718-5_6
626Holst, K., Ugander, M., & Sigfridsson, A. (2017). Left ventricular volume measurements with free breathing respiratory self-gated 3-dimensional golden angle radial whole-heart cine imaging – Feasibility and reproducibility. Magnetic Resonance Imaging, 43, 48–55. https://doi.org/10.1016/j.mri.2017.07.002
625Kvernby, S., Warntjes, M., Engvall, J., Carlhäll, C. J., & Ebbers, T. (2017). Clinical feasibility of 3D-QALAS – Single breath-hold 3D myocardial T1- and T2-mapping. Magnetic Resonance Imaging, 38, 13–20. https://doi.org/10.1016/j.mri.2016.12.014
624Chan, B. T., Yeoh, H. K., Liew, Y. M., Aziz, Y. F. A., Sridhar, G. S., Hamilton-Craig, C., Platts, D., & Lim, E. (2017). Left ventricular flow propagation velocity measurement: Is it cast in stone? Medical and Biological Engineering and Computing, 55(10), 1883–1893. https://doi.org/10.1007/s11517-017-1639-5
623Dai, E., Dong, L., Zhang, Z., Li, L., Zhang, H., Zhao, X., Wang, J., Yuan, C., & Guo, H. (2017). Technical Note: Measurement of common carotid artery lumen dynamics using black-blood MR cine imaging. Medical Physics, 44(3), 1105–1112. https://doi.org/10.1002/MP.12114
622Schafer, S., De Marvao, A., Adami, E., Fiedler, L. R., Ng, B., Khin, E., Rackham, O. J. L. L., Van Heesch, S., Pua, C. J., Kui, M., Walsh, R., Tayal, U., Prasad, S. K., Dawes, T. J. W. W., Ko, N. S. J. J., Sim, D., Chan, L. L. H. H., Chin, C. W. L. L., Mazzarotto, F., … Cook, S. A. (2017). Titin-truncating variants affect heart function in disease cohorts and the general population. Nature Genetics, 49(1), 46–53. https://doi.org/10.1038/ng.3719
621King, K. R., Aguirre, A. D., Ye, Y. X., Sun, Y., Roh, J. D., Ng, R. P., Kohler, R. H., Arlauckas, S. P., Yoshiko, V., Savo, A., Sadreyev, R. I., Kelly, M., Fitzgibbons, T. P., Fitzgerald, K. A., Mitchison, T., Libby, P., Nahrendorf, M., & Weissleder, R. (2017). IRF3 and type i interferons fuel a fatal response to myocardial infarction. Nature Medicine, 23(12), 1481–1487. https://doi.org/10.1038/nm.4428
620Hansen, E. S. S., Tougaard, R. S., Nørlinger, T. S., Mikkelsen, E., Nielsen, P. M., Bertelsen, L. B., Bøtker, H. E., Jørgensen, H. S., & Laustsen, C. (2017). Imaging porcine cardiac substrate selection modulations by glucose, insulin and potassium intervention: A hyperpolarized [1-13C]pyruvate study. NMR in Biomedicine, 30(6), 1–7. https://doi.org/10.1002/nbm.3702
619Lopez, D., Pan, J. A., Pollak, P. M., Clarke, S., Kramer, C. M., Yeager, M., & Salerno, M. (2017). Multiparametric CMR imaging of infarct remodeling in a percutaneous reperfused Yucatan mini-pig model. NMR in Biomedicine, 30(5), 1–11. https://doi.org/10.1002/nbm.3693
618Nührich, J. M., Geisler, A. C., Steven, D., Hoffmann, B. A., Schäffer, B., Lund, G., Stehning, C., Radunski, U. K., Sultan, A., Schwarzl, M., Adam, G., Willems, S., & Muellerleile, K. (2017). Active Atrial Function and Atrial Scar Burden After Multiple Catheter Ablations of Persistent Atrial Fibrillation. PACE – Pacing and Clinical Electrophysiology, 40(2), 175–182. https://doi.org/10.1111/pace.13004
617Chouhan, M. D., Bainbridge, A., Atkinson, D., Punwani, S., Mookerjee, R. P., Lythgoe, M. F., & Taylor, S. A. (2017). Improved hepatic arterial fraction estimation using cardiac output correction of arterial input functions for liver DCE MRI. Physics in Medicine and Biology, 62(4), 1533–1547. https://doi.org/10.1088/1361-6560/aa553c
616Eriksson, J., Zajac, J., Alehagen, U., Bolger, A. F., Ebbers, T., & Carlhäll, C. J. (2017). Left ventricular hemodynamic forces as a marker of mechanical dyssynchrony in heart failure patients with left bundle branch block. Scientific Reports, 7(1), 1–9. https://doi.org/10.1038/s41598-017-03089-x
615Maksuti, E., Carlsson, M., Arheden, H., Kovács, S. J., Broomé, M., & Ugander, M. (2017). Hydraulic forces contribute to left ventricular diastolic filling. Scientific Reports, 7(March), 1–10. https://doi.org/10.1038/srep43505
614Joubert, M., Tager, P., Legallois, D., Defourneaux, E., Le Guellec, B., Gerber, B., Morello, R., & Manrique, A. (2017). Test-retest reproducibility of cardiac magnetic resonance imaging in healthy mice at 7-Tesla: Effect of anesthetic procedures. Scientific Reports, 7(1), 1–11. https://doi.org/10.1038/s41598-017-07083-1
613Casas, B., Lantz, J., Viola, F., Cedersund, G., Bolger, A. F., Carlhäll, C. J., Karlsson, M., & Ebbers, T. (2017). Bridging the gap between measurements and modelling: A cardiovascular functional avatar. Scientific Reports, 7(1), 1–15. https://doi.org/10.1038/s41598-017-06339-0
612Dongworth, R. K., Campbell-Washburn, A. E., Cabrera-Fuentes, H. A., Bulluck, H., Roberts, T., Price, A. N., Hernández-Reséndiz, S., Ordidge, R. J., Thomas, D. L., Yellon, D. M., Lythgoe, M. F., & Hausenloy, D. J. (2017). Quantifying the area-at-risk of myocardial infarction in-vivo using arterial spin labeling cardiac magnetic resonance. Scientific Reports, 7(1), 2271. https://doi.org/10.1038/s41598-017-02544-z
611Vanhoutte, L., Guilbaud, C., Martherus, R., Bouzin, C., Gallez, B., Dessy, C., Balligand, J. L., Moniotte, S., & Feron, O. (2017). MRI assessment of cardiomyopathy induced by $β$1-adrenoreceptor autoantibodies and protection through $β$3-adrenoreceptor overexpression. Scientific Reports, 7(March), 1–10. https://doi.org/10.1038/srep43951
610Vanhoutte, L., Guilbaud, C., Martherus, R., Bouzin, C., Gallez, B., Dessy, C., Balligand, J. L., Moniotte, S., & Feron, O. (2017). MRI assessment of cardiomyopathy induced by β1-adrenoreceptor autoantibodies and protection through β3-adrenoreceptor overexpression. Scientific Reports, 7(March), 1–10. https://doi.org/10.1038/srep43951
609Töger, J., Sorensen, T., Somandepalli, K., Toutios, A., Lingala, S. G., Narayanan, S., & Nayak, K. (2017). Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging. The Journal of the Acoustical Society of America, 141(5), 3323–3336. https://doi.org/10.1121/1.4983081
608Pike, D., Shiu, Y. T., Somarathna, M., Guo, L., Isayeva, T., Totenhagen, J., & Lee, T. (2017). High resolution hemodynamic profiling of murine arteriovenous fistula using magnetic resonance imaging and computational fluid dynamics. Theoretical Biology and Medical Modelling, 14(1), 1–17. https://doi.org/10.1186/s12976-017-0053-x
607Lervik, L. C. N., Brekke, B., Aase, S. A., Lønnebakken, M. T., Stensvåg, D., Amundsen, B. H., Torp, H., & Støylen, A. (2017). Myocardial Strain Rate by Anatomic Doppler Spectrum: First Clinical Experience Using Retrospective Spectral Tissue Doppler from Ultra-High Frame Rate Imaging. Ultrasound in Medicine and Biology, 43(9), 1919–1929. https://doi.org/10.1016/j.ultrasmedbio.2017.05.016
606Schubmehl, H. B., Swartz, M. F., Atallah-Yunes, N., Wittlieb-Weber, C., Pratt, R. E., & Alfieris, G. M. (2017). Sustained Improvement in Right Ventricular Chamber Dimensions 10 Years Following Xenograft Pulmonary Valve Replacement. World Journal for Pediatric and Congenital Heart Surgery, 8(1), 39–47. https://doi.org/10.1177/2150135116670632
605Camastra, G. S., Sbarbati, S., Danti, M., Cacciotti, L., Semeraro, R., Della Sala, S. W., & Ansalone, G. (2017). Cardiac magnetic resonance in patients with acute cardiac injury and unobstructed coronary arteries. World Journal of Radiology, 9(6), 280. https://doi.org/10.4329/wjr.v9.i6.280
604Saeed, M., Bajwa, H. Z., Do, L., Hetts, S. W., & Wilson, M. W. (2016). Multi-detector CT and MRI of microembolized myocardial infarct: Monitoring of left ventricular function, perfusion, and myocardial viability in a swine model. Acta Radiologica, 57(2), 215–224. https://doi.org/10.1177/0284185115574737
603Verouhis, D., Sörensson, P., Gourine, A., Henareh, L., Persson, J., Saleh, N., Settergren, M., Sundqvist, M., Tornvall, P., Witt, N., Böhm, F., & Pernow, J. (2016). Effect of remote ischemic conditioning on infarct size in patients with anterior ST-elevation myocardial infarction. American Heart Journal, 181, 66–73. https://doi.org/10.1016/j.ahj.2016.08.004
602Basavalingappa, R. H., Massilamany, C., Krishnan, B., Gangaplara, A., Kang, G., Khalilzad-Sharghi, V., Han, Z., Othman, S., Li, Q., Riethoven, J. J., Sobel, R. A., Steffen, D., & Reddy, J. (2016). Identification of an Epitope from Adenine Nucleotide Translocator 1 That Induces Inflammation in Heart in A/J Mice. American Journal of Pathology, 186(12), 3160–3175. https://doi.org/10.1016/j.ajpath.2016.08.005
601Schepelmann, M., Yarova, P. L., Lopez-Fernandez, I., Davies, T. S., Brennan, S. C., Edwards, P. J., Aggarwal, A., Graça, J., Rietdorf, K., Matchkov, V., Fenton, R. A., Chang, W., Krssak, M., Stewart, A., Broadley, K. J., Ward, D. T., Price, S. A., Edwards, D. H., Kemp, P. J., & Riccardi, D. (2016). The vascular Ca2+-sensing receptor regulates blood vessel tone and blood pressure. American Journal of Physiology – Cell Physiology, 310(3), C193–C204. https://doi.org/10.1152/ajpcell.00248.2015
600Steding-Ehrenborg, K., Arvidsson, P. M., Töger, J., Rydberg, M., Heiberg, E., Carlsson, M., & Arheden, H. (2016). Determinants of kinetic energy of blood flow in the four-chambered heart in athletes and sedentary controls. American Journal of Physiology – Heart and Circulatory Physiology, 310(1), H113–H122. https://doi.org/10.1152/ajpheart.00544.2015
599Wei, Z., Whitehead, K. K., Khiabani, R. H., Tree, M., Tang, E., Paridon, S. M., Fogel, M. A., & Yoganathan, A. P. (2016). Respiratory Effects on Fontan Circulation during Rest and Exercise Using Real-Time Cardiac Magnetic Resonance Imaging. Annals of Thoracic Surgery, 101(5), 1818–1825. https://doi.org/10.1016/j.athoracsur.2015.11.011
598Poon, C. Y., Watkins, W. J., Evans, C. J., Tsai-Goodman, B., Bolton, C. E., Cockcroft, J. R., Wise, R. G., & Kotecha, S. (2016). Pulmonary arterial response to hypoxia in survivors of chronic lung disease of prematurity. Archives of Disease in Childhood: Fetal and Neonatal Edition, 101(4), F309–F313. https://doi.org/10.1136/archdischild-2015-309015
597Ellwein, L., Samyn, M. M., Danduran, M., Schindler-Ivens, S., Liebham, S., & LaDisa  Jr., J. F. (2016). Toward translating near-infrared spectroscopy oxygen saturation data for the non-invasive prediction of spatial and temporal hemodynamics during exercise. Biomech Model Mechanobiol. https://doi.org/10.1007/s10237-016-0803-4 10.1007/s10237-016-0803-4 [pii]
596Dorniak, K., Heiberg, E., Hellmann, M., Rawicz-Zegrzda, D., Wesierska, M., Galaska, R., Sabisz, A., Szurowska, E., Dudziak, M., & Hedström, E. (2016). Required temporal resolution for accurate thoracic aortic pulse wave velocity measurements by phase-contrast magnetic resonance imaging and comparison with clinical standard applanation tonometry. BMC Cardiovascular Disorders, 16(1), 110. https://doi.org/10.1186/s12872-016-0292-5
595Hannuksela, M., Stattin, E. L., Klar, J., Ameur, A., Johansson, B., Sörensen, K., & Carlberg, B. (2016). A novel variant in MYLK causes thoracic aortic dissections: Genotypic and phenotypic description. BMC Medical Genetics, 17(1), 61. https://doi.org/10.1186/s12881-016-0326-y
594Bidhult, S., Kantasis, G., Aletras, A. H., Arheden, H., Heiberg, E., & Hedström, E. (2016). Validation of T1 and T2 algorithms for quantitative MRI: Performance by a vendor-independent software. BMC Medical Imaging, 16(1), 46. https://doi.org/10.1186/s12880-016-0148-6
593Tufvesson, J., Carlsson, M., Aletras, A. H., Engblom, H., Deux, J. F., Koul, S., Sörensson, P., Pernow, J., Atar, D., Erlinge, D., Arheden, H., & Heiberg, E. (2016). Automatic segmentation of myocardium at risk from contrast enhanced SSFP CMR: Validation against expert readers and SPECT. BMC Medical Imaging, 16(1), 19. https://doi.org/10.1186/s12880-016-0124-1
592Evin, M., Broadhouse, K. M., Callaghan, F. M., McGrath, R. T., Glastras, S., Kozor, R., Hocking, S. L., Lamy, J., Redheuil, A., Kachenoura, N., Fulcher, G. R., Figtree, G. A., & Grieve, S. M. (2016). Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis. Cardiovascular Diabetology, 15(1), 164. https://doi.org/10.1186/s12933-016-0481-7
591Malmo, V., Nes, B. M., Amundsen, B. H., Tjonna, A. E., Stoylen, A., Rossvoll, O., Wisloff, U., & Loennechen, J. P. (2016). Aerobic interval training reduces the burden of Atrial fibrillation in the short term: A randomized trial. Circulation, 133(5), 466–473. https://doi.org/10.1161/CIRCULATIONAHA.115.018220
590Warnert, E. A. H. H., Rodrigues, J. C. L. L., Burchell, A. E., Neumann, S., Ratcliffe, L. E. K. K., Manghat, N. E., Harris, A. D., Adams, Z., Nightingale, A. K., Wise, R. G., Paton, J. F. R. R., & Hart, E. C. (2016). Is High Blood Pressure Self-Protection for the Brain? Circulation Research, 119(12), e140–e151. https://doi.org/10.1161/CIRCRESAHA.116.309493
589Qin, X., Riegler, J., Tiburcy, M., Zhao, X., Chour, T., Ndoye, B., Nguyen, M., Adams, J., Ameen, M., Denney, T. S., Yang, P. C., Nguyen, P., Zimmermann, W. H., & Wu, J. C. (2016). Magnetic Resonance Imaging of Cardiac Strain Pattern Following Transplantation of Human Tissue Engineered Heart Muscles. Circulation: Cardiovascular Imaging, 9(11). https://doi.org/10.1161/CIRCIMAGING.116.004731
588Nordlund, D., Heiberg, E., Carlsson, M., Fründ, E. T., Hoffmann, P., Koul, S., Atar, D., Aletras, A. H., Erlinge, D., Engblom, H., & Arheden, H. (2016). Extent of myocardium at risk for left anterior descending artery, right coronary artery, and left circumflex artery occlusion depicted by contrast-enhanced steady state free precession and T2-weighted short tau inversion recovery magnetic resonance imagin. Circulation: Cardiovascular Imaging, 9(7). https://doi.org/10.1161/CIRCIMAGING.115.004376
587Chen, W. R., Chen, Y. D., Tian, F., Yang, N., Cheng, L. Q., Hu, S. Y., Wang, J., Yang, J. J., Wang, S. F., & Gu, X. F. (2016). Effects of liraglutide on reperfusion injury in patients with ST-segment-elevation myocardial infarction. Circulation: Cardiovascular Imaging, 9(12). https://doi.org/10.1161/CIRCIMAGING.116.005146
586Arheden, H. (2016). Intramyocardial hemorrhage in acute myocardial infarction: Prognostic biomarker and treatment target? Circulation: Cardiovascular Imaging, 9(1), e004418. https://doi.org/10.1161/CIRCIMAGING.115.004418
585Luetkens, J. A., Doerner, J., Schwarze-Zander, C., Wasmuth, J. C., Boesecke, C., Sprinkart, A. M., Schmeel, F. C., Homsi, R., Gieseke, J., Schild, H. H., Rockstroh, J. K., & Naehle, C. P. (2016). Cardiac Magnetic Resonance Reveals Signs of Subclinical Myocardial Inflammation in Asymptomatic HIV-Infected Patients. Circulation: Cardiovascular Imaging, 9(3), e004091. https://doi.org/10.1161/CIRCIMAGING.115.004091
584Durighel, G., Tokarczuk, P. F., Karsa, A., Gordon, F., Cook, S. A., & O’Regan, D. P. (2016). Acute myocardial infarction: susceptibility-weighted cardiac MRI for the detection of reperfusion haemorrhage at 1.5 T. Clinical Radiology, 71(3), e150–e156. https://doi.org/10.1016/j.crad.2015.12.008
583Jain, S., Londono, F. J., Segers, P., Gillebert, T. C., De Buyzere, M., & Chirinos, J. A. (2016). MRI Assessment of Diastolic and Systolic Intraventricular Pressure Gradients in Heart Failure. Current Heart Failure Reports, 13(1), 37–46. https://doi.org/10.1007/s11897-016-0281-0
582Joubert, M., Hardouin, J., Legallois, D., Blanchart, K., Elie, N., Nowoczyn, M., Croisille, P., Coulbault, L., Bor-Angelier, C., Allouche, S., & Manrique, A. (2016). Effects of glycaemic variability on cardiac remodelling after reperfused myocardial infarction: Evaluation of streptozotocin-induced diabetic Wistar rats using cardiac magnetic resonance imaging. Diabetes and Metabolism, 42(5), 342–350. https://doi.org/10.1016/j.diabet.2016.02.002
581Mele, D., Fiorencis, A., Chiodi, E., Gardini, C., Benea, G., & Ferrari, R. (2016). Polar plot maps by parametric strain echocardiography allow accurate evaluation of non-viable transmural scar tissue in ischaemic heart disease. Eur Heart J Cardiovasc Imaging, 17(6), 668–677. https://doi.org/jev191 [pii] 10.1093/ehjci/jev191
580Nordlund, D., Klug, G., Heiberg, E., Koul, S., Larsen, T. H., Hoffmann, P., Metzler, B., Erlinge, D., Atar, D., Aletras, A. H., Carlsson, M., Engblom, H., & Arheden, H. (2016). Multi-vendor, multicentre comparison of contrast-enhanced SSFP and T2-STIR CMR for determining myocardium at risk in ST-elevation myocardial infarction. European Heart Journal Cardiovascular Imaging, 17(7), 744–753. https://doi.org/10.1093/ehjci/jew027
579Haland, T. F., Almaas, V. M., Hasselberg, N. E., Saberniak, J., Leren, I. S., Hopp, E., Edvardsen, T., & Haugaa, K. H. (2016). Strain echocardiography is related to fibrosis and ventricular arrhythmias in hypertrophic cardiomyopathy. European Heart Journal Cardiovascular Imaging, 17(6), 613–621. https://doi.org/10.1093/ehjci/jew005
578Løgstrup, B. B., Nielsen, J. M., Kim, W. Y., & Poulsen, S. H. (2016). Myocardial oedema in acutemyocarditis detected by echocardiographic 2Dmyocardial deformation analysis. European Heart Journal Cardiovascular Imaging, 17(9), 1018–1026. https://doi.org/10.1093/ehjci/jev302
577Luetkens, J. A., Homsi, R., Sprinkart, A. M., Doerner, J., Dabir, D., Kuetting, D. L., Block, W., Andrié, R., Stehning, C., Fimmers, R., Gieseke, J., Thomas, D. K., Schild, H. H., & Naehle, C. P. (2016). Incremental value of quantitative CMR including parametric mapping for the diagnosis of acute myocarditis. European Heart Journal Cardiovascular Imaging, 17(2), 154–161. https://doi.org/10.1093/ehjci/jev246
576Queirós, S., Barbosa, D., Engvall, J., Ebbers, T., Nagel, E., Sarvari, S. I., Claus, P., Fonseca, J. C., Vilaça, J. L., & D’Hooge, J. (2016). Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets. European Heart Journal Cardiovascular Imaging, 17(10), 1118–1127. https://doi.org/10.1093/ehjci/jev247
575Bertini, M., Mele, D., Malagù, M., Fiorencis, A., Toselli, T., Casadei, F., Cannizzaro, T., Fragale, C., Fucili, A., Campagnolo, E., Benea, G., & Ferrari, R. (2016). Cardiac resynchronization therapy guided by multimodality cardiac imaging. European Journal of Heart Failure, 18(11), 1375–1382. https://doi.org/10.1002/ejhf.605
574Marchesseau, S., Ho, J. X. M., & Totman, J. J. (2016). Influence of the short-axis cine acquisition protocol on the cardiac function evaluation: A reproducibility study. European Journal of Radiology Open, 3, 60–66. https://doi.org/10.1016/j.ejro.2016.03.003
573Duchateau, N., De Craene, M., Allain, P., Saloux, E., & Sermesant, M. (2016). Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space. IEEE Transactions on Medical Imaging, 35(10), 2340–2352. https://doi.org/10.1109/TMI.2016.2562181
572Park, C., Park, E. H., Chang, K., & Hong, K. S. (2016). Sector-based assessment of infarct size on late-gadolinium-enhancement MRI in a mouse model of acute myocardial infarction. International Heart Journal, 57(6), 736–741. https://doi.org/10.1536/ihj.16-052
571Wise, P., Davies, N. H., Sirry, M. S., Kortsmit, J., Dubuis, L., Chai, C. K., Baaijens, F. P. T., & Franz, T. (2016). Excessive volume of hydrogel injectates may compromise the efficacy for the treatment of acute myocardial infarction. International Journal for Numerical Methods in Biomedical Engineering, 32(12). https://doi.org/10.1002/cnm.2772
570Ordovas, K. G., Keedy, A., Naeger, D. M., Kallianos, K., Foster, E., Liu, J., Saloner, D., & Hope, M. D. (2016). Dilatation of the ascending aorta is associated with presence of aortic regurgitation in patients after repair of tetralogy of Fallot. International Journal of Cardiovascular Imaging, 32(8), 1265–1272. https://doi.org/10.1007/s10554-016-0902-4
569van Slochteren, F. J., van Es, R., Gyöngyösi, M., van der Spoel, T. I. G., Koudstaal, S., Leiner, T., Doevendans, P. A., & Chamuleau, S. A. J. (2016). Three dimensional fusion of electromechanical mapping and magnetic resonance imaging for real-time navigation of intramyocardial cell injections in a porcine model of chronic myocardial infarction. International Journal of Cardiovascular Imaging, 32(5), 833–843. https://doi.org/10.1007/s10554-016-0852-x
568Bollache, E., van Ooij, P., Powell, A., Carr, J., Markl, M., & Barker, A. J. (2016). Comparison of 4D flow and 2D velocity-encoded phase contrast MRI sequences for the evaluation of aortic hemodynamics. International Journal of Cardiovascular Imaging, 32(10), 1529–1541. https://doi.org/10.1007/s10554-016-0938-5
567Ostenfeld, E., Stephensen, S. S., Steding-Ehrenborg, K., Heiberg, E., Arheden, H., Rådegran, G., Holm, J., & Carlsson, M. (2016). Regional contribution to ventricular stroke volume is affected on the left side, but not on the right in patients with pulmonary hypertension. International Journal of Cardiovascular Imaging, 32(8), 1243–1253. https://doi.org/10.1007/s10554-016-0898-9
566Jablonowski, R., Engblom, H., Kanski, M., Nordlund, D., Koul, S., van der Pals, J., Englund, E., Heiberg, E., Erlinge, D., Carlsson, M., & Arheden, H. (2016). The Authors Reply: JACC: Cardiovascular Imaging, 9(8), 1016–1017. https://doi.org/10.1016/j.jcmg.2016.03.007
565Marshall-Goebel, K., Ambarki, K., Eklund, A., Malm, J., Mulder, E., Gerlach, D., Bershad, E., & Rittweger, J. (2016). Effects of short-Term exposure to head-down tilt on cerebral hemodynamics: A prospective evaluation of a spaceflight analog using phase-contrast MRI. Journal of Applied Physiology, 120(12), 1466–1473. https://doi.org/10.1152/japplphysiol.00841.2015
564Yariswamy, M., Yoshida, T., Valente, A. J., Kandikattu, H. K., Sakamuri, S. S. V. P., Siddesha, J. M., Sukhanov, S., Saifudeen, Z., Ma, L., Siebenlist, U., Gardner, J. D., & Chandrasekar, B. (2016). Cardiac-restricted overexpression of TRAF3 interacting protein 2 (TRAF3IP2) results in spontaneous development of myocardial hypertrophy, fibrosis, and dysfunction. Journal of Biological Chemistry, 291(37), 19425–19436. https://doi.org/10.1074/jbc.M116.724138
563Totzeck, M., Hendgen-Cotta, U. B., French, B. A., & Rassaf, T. (2016). A practical approach to remote ischemic preconditioning and ischemic preconditioning against myocardial ischemia/reperfusion injury. Journal of Biological Methods, 3(4), e57. https://doi.org/10.14440/jbm.2016.149
562Lantz, J., Henriksson, L., Persson, A., Karlsson, M., & Ebbers, T. (2016). Patient-Specific Simulation of Cardiac Blood Flow from High-Resolution Computed Tomography. Journal of Biomechanical Engineering, 138(12). https://doi.org/10.1115/1.4034652
561Wendell, D. C., Samyn, M. M., Cava, J. R., Krolikowski, M. M., & Ladisa, J. F. (2016). The Impact of Cardiac Motion on Aortic Valve Flow Used in Computational Simulations of the Thoracic Aorta. Journal of Biomechanical Engineering, 138(9). https://doi.org/10.1115/1.4033964
560McLeod, K., Wall, S., Leren, I. S., Saberniak, J., & Haugaa, K. H. (2016). Ventricular structure in ARVC: Going beyond volumes as a measure of risk. Journal of Cardiovascular Magnetic Resonance, 18(1), 73. https://doi.org/10.1186/s12968-016-0291-9
559Engblom, H., Tufvesson, J., Jablonowski, R., Carlsson, M., Aletras, A. H., Hoffmann, P., Jacquier, A., Kober, F., Metzler, B., Erlinge, D., Atar, D., Arheden, H., & Heiberg, E. (2016). A new automatic algorithm for quantification of myocardial infarction imaged by late gadolinium enhancement cardiovascular magnetic resonance: Experimental validation and comparison to expert delineations in multi-center, multi-vendor patient data. Journal of Cardiovascular Magnetic Resonance, 18(1), 27. https://doi.org/10.1186/s12968-016-0242-5
558Naresh, N. K., Butcher, J. T., Lye, R. J., Chen, X., Isakson, B. E., Gan, L. M., Kramer, C. M., Annex, B. H., & Epstein, F. H. (2016). Cardiovascular magnetic resonance detects the progression of impaired myocardial perfusion reserve and increased left-ventricular mass in mice fed a high-fat diet. Journal of Cardiovascular Magnetic Resonance, 18(1), 53. https://doi.org/10.1186/s12968-016-0273-y
557Zarrinkoob, L., Ambarki, K., Wahlin, A., Birgander, R., Carlberg, B., Eklund, A., & Malm, J. (2016). Aging alters the dampening of pulsatile blood flow in cerebral arteries. Journal of Cerebral Blood Flow and Metabolism, 36(9), 1519–1527. https://doi.org/10.1177/0271678X16629486
556Demidova, M. M., Martín-Yebra, A., Koul, S., Engblom, H., Martínez, J. P., Erlinge, D., & Platonov, P. G. (2016). QRS broadening due to terminal distortion is associated with the size of myocardial injury in experimental myocardial infarction. Journal of Electrocardiology, 49(3), 300–306. https://doi.org/10.1016/j.jelectrocard.2016.03.014
555Kuetting, D. L. R., Sprinkart, A. M., Dabir, D., Schild, H. H., & Thomas, D. K. (2016). Assessment of cardiac dyssynchrony by cardiac MR: A comparison of velocity encoding and feature tracking analysis. Journal of Magnetic Resonance Imaging, 43(4), 940–946. https://doi.org/10.1002/jmri.25062
554Lenkey, Z., Varga-Szemes, A., Simor, T., Van Der Geest, R. J., Kirschner, R., Toth, L., Bodnar, T., Brott, B. C., Elgavish, A., & Elgavish, G. A. (2016). Age-independent myocardial infarct quantification by signal intensity percent infarct mapping in swine. Journal of Magnetic Resonance Imaging, 43(4), 911–920. https://doi.org/10.1002/jmri.25046
553Töger, J., Kanski, M., Arvidsson, P. M., Carlsson, M., Kovács, S. J., Borgquist, R., Revstedt, J., Söderlind, G., Arheden, H., & Heiberg, E. (2016). Vortex-ring mixing as a measure of diastolic function of the human heart: Phantom validation and initial observations in healthy volunteers and patients with heart failure. Journal of Magnetic Resonance Imaging, 43(6), 1386–1397. https://doi.org/10.1002/jmri.25111
552Hansson, N. H., Tolbod, L., Harms, J., Wiggers, H., Kim, W. Y., Hansen, E., Zaremba, T., Frøkiær, J., Jakobsen, S., Sørensen, J., Harms, H. J., Wiggers, H., Kim, W. Y., Hansen, E., Zaremba, T., Frøkiær, J., Jakobsen, S., & Sørensen, J. (2016). Evaluation of ECG-gated [11C]acetate PET for measuring left ventricular volumes, mass, and myocardial external efficiency. Journal of Nuclear Cardiology, 23(4), 670–679. https://doi.org/10.1007/s12350-015-0331-0
551Harms, H. J., Hansson, N. H. S., Tolbod, L. P., Kim, W. Y., Jakobsen, S., Bouchelouche, K., Wiggers, H., Frøkiaer, J., & Sörensen, J. (2016). Automatic extraction of myocardial mass and volume using parametric images from dynamic nongated PET. Journal of Nuclear Medicine, 57(9), 1382–1387. https://doi.org/10.2967/jnumed.115.170613
550Hnatiuk, A. P., Ong, S. G., Olea, F. D., Locatelli, P., Riegler, J., Lee, W. H., Jen, C. H., Lorenzi, A. De, Giménez, C. S., Laguens, R., Wu, J. C., & Crottogini, A. (2016). Allogeneic mesenchymal stromal cells overexpressing mutant human Hypoxia-inducible factor 1-α (HIF1-α) in an ovine model of acute myocardial infarction. Journal of the American Heart Association, 5(7). https://doi.org/10.1161/JAHA.116.003714
549Luetkens, J. A., Homsi, R., Dabir, D., Kuetting, D. L., Marx, C., Doerner, J., Schlesinger-Irsch, U., Andrié, R., Sprinkart, A. M., Schmeel, F. C., Stehning, C., Fimmers, R., Gieseke, J., Naehle, C. P., Schild, H. H., & Thomas, D. K. (2016). Comprehensive Cardiac Magnetic Resonance for Short-Term Follow-Up in Acute Myocarditis. Journal of the American Heart Association, 5(7). https://doi.org/10.1161/JAHA.116.003603
548Mizukoshi, K., Takeuchi, M., Nagata, Y., Addetia, K., Lang, R. M., Akashi, Y. J., & Otsuji, Y. (2016). Normal Values of Left Ventricular Mass Index Assessed by Transthoracic Three-Dimensional Echocardiography. Journal of the American Society of Echocardiography, 29(1), 51–61. https://doi.org/10.1016/j.echo.2015.09.009
547Wang, K., Cao, T., Zhao, L., Yang, Y., Feng, Y., Duan, Y., Yuan, L., Xing, C., & Ren, H. (2016). Study of the blood supply fraction of the ascending aorta and its effect in diagnosing early ascending aortic atherosclerosis. Journal of Ultrasound in Medicine, 35(3), 547–552. https://doi.org/10.7863/ultra.15.04030
546Jin, H., Yun, H., Ma, J., Chen, Z., Chang, S., & Zeng, M. (2016). Coronary microembolization with normal epicardial coronary arteries and no visible infarcts on nitrobluetetrazolium chloride-stained specimens: Evaluation with cardiac magnetic resonance imaging in a swine model. Korean Journal of Radiology, 17(1), 83–92. https://doi.org/10.3348/kjr.2016.17.1.83
545Töger, J., Bidhult, S., Revstedt, J., Carlsson, M., & Heiberg, E. (2016). Independent validation of four-dimensional flow MR velocities and vortex ring volume using particle imaging velocimetry and planar laser-Induced fluorescence. Magnetic Resonance in Medicine, 75(3), 1064–1075. https://doi.org/10.1002/mrm.25683
544BidhulT, S., Xanthis, C. G., LiljekvisT, L. L., Greil, G., Nagel, E., Aletras, A. H., Heiberg, E., & Hedström, E. (2016). Validation of a new t2∗ algorithm and its uncertainty value for cardiac and liver iron load determination from MRI magnitude images. Magnetic Resonance in Medicine, 75(4), 1717–1729. https://doi.org/10.1002/mrm.25767
543Wundrak, S., Paul, J., Ulrici, J., Hell, E., Geibel, M. A., Bernhardt, P., Rottbauer, W., & Rasche, V. (2016). A self-gating method for time-resolved imaging of nonuniform motion. Magnetic Resonance in Medicine, 76(3), 919–925. https://doi.org/10.1002/mrm.26000
542van Es, R., van Slochteren, F. J., Jansen of Lorkeers, S. J., Blankena, R., Doevendans, P. A., & Chamuleau, S. A. J. (2016). Real-time correction of respiratory-induced cardiac motion during electroanatomical mapping procedures. Medical and Biological Engineering and Computing, 54(11), 1741–1749. https://doi.org/10.1007/s11517-016-1455-3
541Ardekani, S., Jain, S., Sanzi, A., Corona-Villalobos, C. P., Abraham, T. P., Abraham, M. R., Zimmerman, S. L., Wu, K. C., Winslow, R. L., Miller, M. I., & Younes, L. (2016). Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry. Medical Image Analysis, 29, 12–23. https://doi.org/10.1016/j.media.2015.11.004
540Feng, C., Zhang, S., Zhao, D., & Li, C. (2016). Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets. Medical Physics, 43(6), 2741–2755. https://doi.org/10.1118/1.4947126
539Herraiz, J. L., Herranz, E., Cal-González, J., Vaquero, J. J., Desco, M., Cussó, L., & Udias, J. M. (2016). Automatic Cardiac Self-Gating of Small-Animal PET Data. Molecular Imaging and Biology, 18(1), 109–116. https://doi.org/10.1007/s11307-015-0868-y
538Bulluck, H., Rosmini, S., Abdel-Gadir, A., Bhuva, A. N., Treibel, T. A., Fontana, M., Weinmann, S., Sirker, A., Herrey, A. S., Manisty, C., Moon, J. C., & Hausenloy, D. J. (2016). Impact of microvascular obstruction on semiautomated techniques for quantifying acute and chronic myocardial infarction by cardiovascular magnetic resonance. Open Heart, 3(2), e000535. https://doi.org/10.1136/openhrt-2016-000535
537Hansen, E. S. S., Pedersen, S. B. F., Pedersen, S. B. F., Kjærgaard, U., Schmidt, N. H., Bøtker, H. E., & Kim, W. Y. (2016). Cardiovascular MR T2-STIR imaging does not discriminate between intramyocardial haemorrhage and microvascular obstruction during the subacute phase of a reperfused myocardial infarction. Open Heart, 3(1), e000346. https://doi.org/10.1136/openhrt-2015-000346
536Eriksson, J., Bolger, A. F., Ebbers, T., & Carlhäll, C. J. (2016). Assessment of left ventricular hemodynamic forces in healthy subjects and patients with dilated cardiomyopathy using 4D flow MRI. Physiological Reports, 4(3). https://doi.org/10.14814/phy2.12685
535Gyöngyösi, M., Giurgea, G. A., Syeda, B., Charwat, S., Marzluf, B., Mascherbauer, J., Jakab, A., Zimba, A., Sárközy, M., Pavo, N., Sochor, H., Graf, S., Lang, I., Maurer, G., Bergler-Klein, J., Dettke, M., Beran, G., Hemetsberger, R., Christ, G., … Pejkov, H. (2016). Long-term outcome of combined (Percutaneous Intramyocardial and Intracoronary) application of autologous bone marrow mononuclear cells post myocardial infarction: The 5-Year MYSTAR Study. PLoS ONE, 11(10), e0164908. https://doi.org/10.1371/journal.pone.0164908
534Joubert, M., Bellevre, D., Legallois, D., Elie, N., Coulbault, L., Allouche, S., & Manrique, A. (2016). Hyperglycemia-induced hypovolemia is involved in early cardiac magnetic resonance alterations in streptozotocin-induced diabetic mice: A comparison with furosemide-induced hypovolemia. PLoS ONE, 11(2), e0149808. https://doi.org/10.1371/journal.pone.0149808
533Svalbring, E., Fredriksson, A., Eriksson, J., Dyverfeldt, P., Ebbers, T., Bolger, A. F., Engvall, J., & Carlhäll, C. J. (2016). Altered diastolic flow patterns and kinetic energy in subtle left ventricular remodeling and dysfunction detected by 4D flow MRI. PLoS ONE, 11(8), e0161391. https://doi.org/10.1371/journal.pone.0161391
532Gilbert, K., Farrar, G., Cowan, B., Suinesiaputra, A., Occleshaw, C., Pontré, B., Perry, J., Hegde, S., Omens, J., McCulloch, A., & Young, A. (2016). Improving assessment of congenital heart disease through rapid patient specific modeling. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016-Octob, 1228–1231. https://doi.org/10.1109/EMBC.2016.7590927
531Bakeer, N., James, J., Roy, S., Wansapura, J., Shanmukhappa, S. K., Lorenz, J. N., Osinska, H., Backer, K., Huby, A. C., Shrestha, A., Niss, O., Fleck, R., Quinn, C. T., Taylor, M. D., Purevjav, E., Aronow, B. J., Towbin, J. A., & Malik, P. (2016). Sickle cell anemia mice develop a unique cardiomyopathy with restrictive physiology. Proceedings of the National Academy of Sciences of the United States of America, 113(35), E5182–E5191. https://doi.org/10.1073/pnas.1600311113
530Chouhan, M. D., Mookerjee, R. P., Bainbridge, A., Walker-Samuel, S., Davies, N., Halligan, S., Lythgoe, M. F., & Taylor, S. A. (2016). Use of caval subtraction 2d phase-contrast mr imaging to measure total liver and hepatic arterial blood flow: Preclinical validation and initial clinical translation. Radiology, 280(3), 916–923. https://doi.org/10.1148/radiol.2016151832
529Homsi, R., Thomas, D., Gieseke, J., Meier-Schroers, M., Dabir, D., Kuetting, D., Luetkens, J. A., Marx, C., Schild, H. H., & Sprinkart, A. (2016). Epicardial Fat Volume and Aortic Stiffness in Healthy Individuals: A Quantitative Cardiac Magnetic Resonance Study. RoFo Fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren, 188(9), 853–858. https://doi.org/10.1055/s-0042-110098
528Søholm, H., Lønborg, J., Andersen, M. J., Vejlstrup, N., Engstrøm, T., Hassager, C., & Møller, J. E. (2016). Association diastolic function by echo and infarct size by magnetic resonance imaging after STEMI. Scandinavian Cardiovascular Journal, 50(3), 172–179. https://doi.org/10.3109/14017431.2016.1163416
527Arvidsson, P. M., Kovács, S. J., Töger, J., Borgquist, R., Heiberg, E., Carlsson, M., & Arheden, H. (2016). Vortex ring behavior provides the epigenetic blueprint for the human heart. Scientific Reports, 6, 22021. https://doi.org/10.1038/srep22021
526Mercieca, K., Cain, J., Hansen, T., Steeples, L., Watkins, A., Spencer, F., & Jackson, A. (2016). Primary open angle glaucoma is associated with mr biomarkers of cerebral small vessel disease. Scientific Reports, 6, 22160. https://doi.org/10.1038/srep22160
525Wojewoda, M., Tyrankiewicz, U., Gwozdz, P., Skorka, T., Jablonska, M., Orzylowska, A., Jasinski, K., Jasztal, A., Przyborowski, K., Kostogrys, R. B., Zoladz, J. A., & Chlopicki, S. (2016). Exercise capacity and cardiac hemodynamic response in female ApoE/LDLR-/- mice: A paradox of preserved V’O2max and exercise capacity despite coronary atherosclerosis. Scientific Reports, 6, 24714. https://doi.org/10.1038/srep24714
524Riegler, J., Ebert, A., Qin, X., Shen, Q., Wang, M., Ameen, M., Kodo, K., Ong, S. G., Lee, W. H., Lee, G., Neofytou, E., Gold, J. D., Connolly, A. J., & Wu, J. C. (2016). Comparison of Magnetic Resonance Imaging and Serum Biomarkers for Detection of Human Pluripotent Stem Cell-Derived Teratomas. Stem Cell Reports, 6(2), 176–187. https://doi.org/10.1016/j.stemcr.2015.12.008
523Wang, J., Xiang, B., Lin, H. Y., Liu, H. Y., Freed, D., Arora, R. C., & Tian, G. H. (2015). Collateral circulation formation determines the characteristic profiles of contrast-enhanced MRI in the infarcted myocardium of pigs. Acta Pharmacologica Sinica, 36(4), 463–472. https://doi.org/10.1038/aps.2014.158
522Boye, D., Springer, O., Wassmer, F., Scheidegger, S., Remonda, L., & Berberat, J. (2015). Effects of contour propagation and background corrections in different MRI flow software packages. Acta Radiologica Open, 4(6), 205846011558912. https://doi.org/10.1177/2058460115589124
521Hatt, A., Cheng, S., Tan, K., Sinkus, R., & Bilston, L. E. (2015). MR Elastography Can Be Used to Measure Brain Stiffness Changes as a Result of Altered Cranial Venous Drainage During Jugular Compression. American Journal of Neuroradiology, 36(10), 1971–1977. https://doi.org/10.3174/ajnr.A4361
520Arvidsson, P. M., Carlsson, M., Kovács, S. J., & Arheden, H. (2015). Letter to the editor: Atrioventricular plane displacement is not the sole mechanism of atrial and ventricular refill. American Journal of Physiology – Heart and Circulatory Physiology, 309(6), H1094–H1096. https://doi.org/10.1152/ajpheart.00483.2015
519Fenster, B. E., Browning, J., Schroeder, J. D., Schafer, M., Podgorski, C. A., Smyser, J., Silveira, L. J., Buckner, J. K., & Hertzberg, J. R. (2015). Vorticity is a marker of right ventricular diastolic dysfunction. American Journal of Physiology – Heart and Circulatory Physiology, 309(6), H1087–H1093. https://doi.org/10.1152/ajpheart.00278.2015
518Aristokleous, N., Seimenis, I., Georgiou, G. C., Nicolaides, A., & Anayiotos, A. S. (2015). The Effect of Head Rotation on the Geometry and Hemodynamics of Healthy Vertebral Arteries. Annals of Biomedical Engineering, 43(6), 1287–1297. https://doi.org/10.1007/s10439-015-1340-5
517Pahlavian, S. H., Loth, F., Luciano, M., Oshinski, J., & Martin, B. A. (2015). Neural Tissue Motion Impacts Cerebrospinal Fluid Dynamics at the Cervical Medullary Junction: A Patient-Specific Moving-Boundary Computational Model. Annals of Biomedical Engineering, 43(12), 2911–2923. https://doi.org/10.1007/s10439-015-1355-y
516Wang, L., Pei, M., Codella, N. C. F., Kochar, M., Weinsaft, J. W., Li, J., Prince, M. R., & Wang, Y. (2015). Left ventricle: Fully automated segmentation based on spatiotemporal continuity and myocardium information in cine cardiac magnetic resonance imaging (LV-FAST). BioMed Research International, 2015, 367583. https://doi.org/10.1155/2015/367583
515Tufvesson, J., Hedström, E., Steding-Ehrenborg, K., Carlsson, M., Arheden, H., & Heiberg, E. (2015). Validation and Development of a New Automatic Algorithm for Time-Resolved Segmentation of the Left Ventricle in Magnetic Resonance Imaging. BioMed Research International, 2015, 970357. https://doi.org/10.1155/2015/970357
514Kanski, M., Töger, J., Steding-Ehrenborg, K., Xanthis, C., Bloch, K. M., Heiberg, E., Carlsson, M., & Arheden, H. (2015). Whole-heart four-dimensional flow can be acquired with preserved quality without respiratory gating, facilitating clinical use: A head-to-head comparison. BMC Medical Imaging, 15(1), 20. https://doi.org/10.1186/s12880-015-0061-4
513Rudolph, A., Messroghli, D., von Knobelsdorff-Brenkenhoff, F., Traber, J., Schüler, J., Wassmuth, R., & Schulz-Menger, J. (2015). Prospective, randomized comparison of gadopentetate and gadobutrol to assess chronic myocardial infarction applying cardiovascular magnetic resonance. BMC Medical Imaging, 15(1), 55. https://doi.org/10.1186/s12880-015-0099-3
512Khan, J. N., Nazir, S. A., Horsfield, M. A., Singh, A., Kanagala, P., Greenwood, J. P., Gershlick, A. H., & McCann, G. P. (2015). Comparison of semi-automated methods to quantify infarct size and area at risk by cardiovascular magnetic resonance imaging at 1.5T and 3.0T field strengths. BMC Research Notes, 8(1), 52. https://doi.org/10.1186/s13104-015-1007-1
511Khoshnood, A., Carlsson, M., Akbarzadeh, M., Bhiladvala, P., Roijer, A., Bodetoft, S., Höglund, P., Zughaft, D., Todorova, L., Erlinge, D., & Ekelund, U. (2015). The Effects of Oxygen Therapy on Myocardial Salvage in ST Elevation Myocardial Infarction Treated with Acute Percutaneous Coronary Intervention: The Supplemental Oxygen in Catheterized Coronary Emergency Reperfusion (SOCCER) Study. Cardiology, 132(1), 16–21. https://doi.org/10.1159/000398786
510Andersson, M., Lantz, J., Ebbers, T., & Karlsson, M. (2015). Erratum to: Quantitative Assessment of Turbulence and Flow Eccentricity in an Aortic Coarctation: Impact of Virtual Interventions. Cardiovascular Engineering and Technology, 6(4), 281–293. https://doi.org/10.1007/s13239-015-0243-9
509Deftereos, S., Giannopoulos, G., Angelidis, C., Alexopoulos, N., Filippatos, G., Papoutsidakis, N., Sianos, G., Goudevenos, J., Alexopoulos, D., Pyrgakis, V., Cleman, M. W., Manolis, A. S., Tousoulis, D., & Lekakis, J. (2015). Anti-inflammatory treatment with colchicine in acute myocardial infarction: A pilot study. Circulation, 132(15), 1395–1403. https://doi.org/10.1161/CIRCULATIONAHA.115.017611
508Sager, H. B., Heidt, T., Hulsmans, M., Dutta, P., Courties, G., Sebas, M., Wojtkiewicz, G. R., Tricot, B., Iwamoto, Y., Sun, Y., Weissleder, R., Libby, P., Swirski, F. K., & Nahrendorf, M. (2015). Targeting interleukin-1β reduces leukocyte production after acute myocardial infarction. Circulation, 132(20), 1880–1890. https://doi.org/10.1161/CIRCULATIONAHA.115.016160
507Gregory, T. S., Oshinski, J., Schmidt, E. J., Kwong, R. Y., Stevenson, W. G., & Ho Tse, Z. T. (2015). Continuous Rapid Quantification of Stroke Volume Using Magnetohydrodynamic Voltages in 3T Magnetic Resonance Imaging. Circulation: Cardiovascular Imaging, 8(12). https://doi.org/10.1161/CIRCIMAGING.115.003282
506Prati, G., Vitrella, G., Allocca, G., Muser, D., Buttignoni, S. C., Piccoli, G., Morocutti, G., Delise, P., Pinamonti, B., Proclemer, A., Sinagra, G., & Nucifora, G. (2015). Right Ventricular Strain and Dyssynchrony Assessment in Arrhythmogenic Right Ventricular Cardiomyopathy: Cardiac Magnetic Resonance Feature-Tracking Study. Circulation: Cardiovascular Imaging, 8(11), e003647; discussion e003647. https://doi.org/10.1161/CIRCIMAGING.115.003647
505Naeger, D. M., Higgins, C., De Marco, T., Muzzarelli, S., & Ordovas, K. G. (2015). Low-intensity late gadolinium enhancement predominates in hypertrophic cardiomyopathy. Clinical Imaging, 39(3), 432–436. https://doi.org/10.1016/j.clinimag.2015.01.001
504Carlsson, M., Jögi, J., Bloch, K. M., Hedén, B., Ekelund, U., Ståhlberg, F., & Arheden, H. (2015). Submaximal adenosine-induced coronary hyperaemia with 12 h caffeine abstinence: implications for clinical adenosine perfusion imaging tests. Clinical Physiology and Functional Imaging, 35(1), 49–56. https://doi.org/10.1111/cpf.12125
503Furtado, M. B., Wilmanns, J. C., Chandran, A., Tonta, M., Biben, C., Eichenlaub, M., Coleman, H. A., Berger, S., Bouveret, R., Singh, R., Harvey, R. P., Ramialison, M., Pearson, J. T., Parkington, H. C., Rosenthal, N. A., & Costa, M. W. (2015). A novel conditional mouse model for NKX2-5 reveals transcriptional regulation of cardiac ion channels. Differentiation, 91(1–3), 29–41. https://doi.org/10.1016/j.diff.2015.12.003
502Gouda, S., AbdelWahab, A., Salem, M., & AbdelHamid, M. (2015). Discrepancy between MRI and echocardiography in assessing functional left ventricular parameters and scar characteristics in patients with chronic ischemic cardiomyopathy. Egyptian Heart Journal, 67(3), 267–273. https://doi.org/10.1016/j.ehj.2014.11.002
501Harms, H. J., Tolbod, L. P., Hansson, N. H. S., Kero, T., Orndahl, L. H., Kim, W. Y., Bjerner, T., Bouchelouche, K., Wiggers, H., Frøkiær, J., & Sörensen, J. (2015). Automatic extraction of forward stroke volume using dynamic PET/CT: a dual-tracer and dual-scanner validation in patients with heart valve disease. EJNMMI Physics, 2(1), 1–13. https://doi.org/10.1186/s40658-015-0133-0
500Santer, D., Nagel, F., Kreibich, M., Dzilic, E., Moser, P. T., Muschitz, G., Inci, M., Krssak, M., Plasenzotti, R., Bergmeister, H., Trescher, K., & Podesser, B. K. (2015). In vivo and ex vivo functional characterization of left ventricular remodelling after myocardial infarction in mice. ESC Heart Failure, 2(3), 171–177. https://doi.org/10.1002/ehf2.12039
499Köhler, B., Preim, U., Grothoff, M., Gutberlet, M., Fischbach, K., & Preim, B. (2015). Guided Analysis of Cardiac 4D PC-MRI Blood Flow Data. Eurographics (Dirk Bartz Prize) 2015, 2–5. https://www.researchgate.net/profile/Bernhard_Preim/publication/273776431_Guided_Analysis_of_Cardiac_4D_PC-MRI_Blood_Flow_Data/links/550d50c10cf2ac2905a654ac.pdf
498Atar, D., Arheden, H., Berdeaux, A., Bonnet, J. L., Carlsson, M., Clemmensen, P., Cuvier, V., Danchin, N., Dubois-Randé, J. L., Engblom, H., Erlinge, D., Firat, H., Halvorsen, S., SteenHansen, H., Hauke, W., Heiberg, E., Koul, S., Larsen, A. I., Le Corvoisier, P., … Jensen, S. E. (2015). Effect of intravenous TRO40303 as an adjunct to primary percutaneous coronary intervention for acute ST-elevation myocardial infarction: MITOCARE study results. European Heart Journal, 36(2), 112–119. https://doi.org/10.1093/eurheartj/ehu331
497Karlsson, J. E., El-Saadi, W., Ali, M., Puskar, W., Skogvard, P., Engvall, J. E., Andersson, R. G., Maret, E., & Jynge, P. (2015). Mangafodipir as a cardioprotective adjunct to reperfusion therapy: A feasibility study in patients with ST-segment elevation myocardial infarction. European Heart Journal – Cardiovascular Pharmacotherapy, 1(1), 39–45. https://doi.org/10.1093/ehjcvp/pvu021
496Heiberg, J., Ringgaard, S., Schmidt, M. R., Redington, A., & Hjortdal, V. E. (2015). Structural and functional alterations of the right ventricle are common in adults operated for ventricular septal defect as toddlers. European Heart Journal Cardiovascular Imaging, 16(5), 483–489. https://doi.org/10.1093/ehjci/jeu292
495Hansson, M. J., Llwyd, O., Morin, D., De Paulis, D., Arnoux, T., Gouarné, C., Koul, S., Engblom, H., Bordet, T., Tissier, R., Arheden, H., Erlinge, D., Halestrap, A. P., Berdeaux, A., Pruss, R. M., & Schaller, S. (2015). Differences in the profile of protection afforded by TRO40303 and mild hypothermia in models of cardiac ischemia/reperfusion injury. European Journal of Pharmacology, 760, 7–19. https://doi.org/10.1016/j.ejphar.2015.04.009
494Pedersen, S. F., Grøndal, A. K., Andersen, N. P., Hansen, E. S. S., Dalager, S., Bøtker, H. E., Kim, W. Y., & Pedersen, S. B. (2015). Dimethyl Sulfoxide Reduces Microvascular Obstruction and Intramyocardial Hemorrhagein a Porcine Ischemia-Reperfusion Model. Heart Research – Open Journal, 2(2), 85–91. https://doi.org/10.17140/hroj-2-114
493Máca, R., Beneš, M., & Tintěra, J. (2015). Segmentation of MRI images by adaptive degenerate diffusion. IAENG International Journal of Applied Mathematics, 45(3), 208–217. http://www.iaeng.org/IJAM/issues_v45/issue_3/IJAM_45_3_06.pdf
492McLeod, K., Sermesant, M., Beerbaum, P., & Pennec, X. (2015). Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. IEEE Transactions on Medical Imaging, 34(7), 1562–1575. https://doi.org/10.1109/TMI.2015.2405579
491Bergan, H. A., Halvorsen, P. S., Skulstad, H., Edvardsen, T., Fosse, E., & Bugge, J. F. (2015). Successful ECMO-cardiopulmonary resuscitation with the associated post-arrest cardiac dysfunction as demonstrated by MRI. Intensive Care Medicine Experimental , 3(1), 61. https://doi.org/10.1186/s40635-015-0061-2
490Nucifora, G., Muser, D., Gianfagna, P., Morocutti, G., & Proclemer, A. (2015). Systolic and diastolic myocardial mechanics in hypertrophic cardiomyopathy and their link to the extent of hypertrophy, replacement fibrosis and interstitial fibrosis. International Journal of Cardiovascular Imaging, 31(8), 1603–1610. https://doi.org/10.1007/s10554-015-0720-0
489Do, L., Wilson, M. W., Krug, R., Hetts, S. W., & Saeed, M. (2015). MRI monitoring of function, perfusion and viability in microembolized moderately ischemic myocardium. International Journal of Cardiovascular Imaging, 31(6), 1179–1190. https://doi.org/10.1007/s10554-015-0673-3
488Amzulescu, M. S., Rousseau, M. F., Ahn, S. A., Boileau, L., De Meester De Ravenstein, C., Vancraeynest, D., Pasquet, A., Vanoverschelde, J. L., Pouleur, A. C., & Gerber, B. L. (2015). Prognostic impact of hypertrabeculation and noncompaction phenotype in dilated cardiomyopathy: A CMR study. JACC: Cardiovascular Imaging, 8(8), 934–946. https://doi.org/10.1016/j.jcmg.2015.04.015
487Jablonowski, R., Engblom, H., Kanski, M., Nordlund, D., Koul, S., Van Der Pals, J., Englund, E., Heiberg, E., Erlinge, D., Carlsson, M., & Arheden, H. (2015). Contrast-Enhanced CMR Overestimates Early Myocardial Infarct Size: Mechanistic Insights Using ECV Measurements on Day 1 and Day 7. JACC: Cardiovascular Imaging, 8(12), 1379–1389. https://doi.org/10.1016/j.jcmg.2015.08.015
486Matsumoto, H., Matsuda, T., Miyamoto, K., Shimada, T., Ushimaru, S., Mikuri, M., & Yamazaki, T. (2015). Temporal change of enhancement after gadolinium injection on contrast-enhanced CMR in reperfused acute myocardial infarction. Journal of Cardiology, 65(1), 76–81. https://doi.org/10.1016/j.jjcc.2014.04.005
485De Meester De Ravenstein, C., Bouzin, C., Lazam, S., Boulif, J., Amzulescu, M., Melchior, J., Pasquet, A., Vancraeynest, D., Pouleur, A. C., Vanoverschelde, J. L. J., & Gerber, B. L. (2015). Histological Validation of measurement of diffuse interstitial myocardial fibrosis by myocardial extravascular volume fraction from Modified Look-Locker imaging (MOLLI) T1 mapping at 3 T. Journal of Cardiovascular Magnetic Resonance, 17(1), 48. https://doi.org/10.1186/s12968-015-0150-0
484Sprinkart, A. M., Luetkens, J. A., Träber, F., Doerner, J., Gieseke, J., Schnackenburg, B., Schmitz, G., Thomas, D., Homsi, R., Block, W., Schild, H., & Naehle, C. P. (2015). Gradient Spin Echo (GraSE) imaging for fast myocardial T2 mapping. Journal of Cardiovascular Magnetic Resonance, 17(1), 12. https://doi.org/10.1186/s12968-015-0127-z
483Kanski, M., Arvidsson, P. M., Töger, J., Borgquist, R., Heiberg, E., Carlsson, M., & Arheden, H. (2015). Left ventricular fluid kinetic energy time curves in heart failure from cardiovascular magnetic resonance 4D flow data. Journal of Cardiovascular Magnetic Resonance, 17(1), 111. https://doi.org/10.1186/s12968-015-0211-4
482Kihlberg, J., Haraldsson, H., Sigfridsson, A., Ebbers, T., & Engvall, J. E. (2015). Clinical experience of strain imaging using DENSE for detecting infarcted cardiac segments. Journal of Cardiovascular Magnetic Resonance, 17(1), 50. https://doi.org/10.1186/s12968-015-0155-8
481Xanthis, C. G., Bidhult, S., Kantasis, G., Heiberg, E., Arheden, H., & Aletras, A. H. (2015). Parallel simulations for QUAntifying RElaxation magnetic resonance constants (SQUAREMR): An example towards accurate MOLLI T1 measurements. Journal of Cardiovascular Magnetic Resonance, 17(1), 104. https://doi.org/10.1186/s12968-015-0206-1
480Vanhoutte, L., Gallez, B., Feron, O., Balligand, J. L., Esfahani, H., d’Hoore, W., & Moniotte, S. (2015). Variability of Mouse Left Ventricular Function Assessment by 11.7 Tesla MRI. Journal of Cardiovascular Translational Research, 8(6), 362–371. https://doi.org/10.1007/s12265-015-9638-0
479Blain, A., Greally, E., Laval, S. H., Blamire, A. M., MacGowan, G. A., & Straub, V. W. (2015). Absence of Cardiac Benefit with Early Combination ACE Inhibitor and Beta Blocker Treatment in mdx Mice. Journal of Cardiovascular Translational Research, 8(3), 198–207. https://doi.org/10.1007/s12265-015-9623-7
478Clarke, S. A., Goodman, N. C., Ailawadi, G., & Holmes, J. W. (2015). Effect of Scar Compaction on the Therapeutic Efficacy of Anisotropic Reinforcement Following Myocardial Infarction in the Dog. Journal of Cardiovascular Translational Research, 8(6), 353–361. https://doi.org/10.1007/s12265-015-9637-1
477Zarrinkoob, L., Ambarki, K., Wåhlin, A., Birgander, R., Eklund, A., & Malm, J. (2015). Blood flow distribution in cerebral arteries. Journal of Cerebral Blood Flow and Metabolism, 35(4), 648–654. https://doi.org/10.1038/jcbfm.2014.241
476Wiiala, J., Hedström, E., Kraen, M., Magnusson, M., Arheden, H., & Engblom, H. (2015). Diagnostic performance of the Selvester QRS scoring system in relation to clinical ECG assessment of patients with lateral myocardial infarction using cardiac magnetic resonance as reference standard. Journal of Electrocardiology, 48(5), 750–757. https://doi.org/10.1016/j.jelectrocard.2015.07.009
475Ludwig, D. R., Menon, P. G., & Schwartzman, D. (2015). Nuclear image-guided left ventricular pacing lead navigation feasibility of a new technique. Journal of Interventional Cardiac Electrophysiology, 44(3), 273–277. https://doi.org/10.1007/s10840-015-0046-9
474Zajac, J., Eriksson, J., Dyverfeldt, P., Bolger, A. F., Ebbers, T., & Carlhäll, C. J. (2015). Turbulent kinetic energy in normal and myopathic left ventricles. Journal of Magnetic Resonance Imaging, 41(4), 1021–1029. https://doi.org/10.1002/jmri.24633
473Kramer, L. A., Hasan, K. M., Sargsyan, A. E., Wolinsky, J. S., Hamilton, D. R., Riascos, R. F., Carson, W. K., Heimbigner, J., Patel, V. S., Romo, S., & Otto, C. (2015). Mr-derived cerebral spinal fluid hydrodynamics as a marker and a risk factor for intracranial hypertension in astronauts exposed to microgravity. Journal of Magnetic Resonance Imaging, 42(6), 1560–1571. https://doi.org/10.1002/jmri.24923
472Steding-Ehrenborg, K., Boushel, R. C., Calbet, J. A., Åkeson, P., & Mortensen, S. P. (2015). Left ventricular atrioventricular plane displacement is preserved with lifelong endurance training and is the main determinant of maximal cardiac output. Journal of Physiology, 593(23), 5157–5166. https://doi.org/10.1113/JP271621
471Engblom, H., Heiberg, E., Erlinge, D., Jensen, S. E., Nordrehaug, J. E., Dubois-Randé, J. L., Halvorsen, S., Hoffmann, P., Koul, S., Carlsson, M., Atar, D., & Arheden, H. (2015). Sample size in clinical cardioprotection trials using myocardial salvage index, infarct size, or biochemical markers as endpoint. Journal of the American Heart Association, 5(3), e002708. https://doi.org/10.1161/JAHA.115.002708
470Bagno, L. L., Kanashiro-Takeuchi, R. M., Suncion, V. Y., Golpanian, S., Karantalis, V., Wolf, A., Wang, B., Premer, C., Balkan, W., Rodriguez, J., Valdes, D., Rosado, M., Block, N. L., Goldstein, P., Morales, A., Cai, R. Z., Sha, W., Schally, A. V., & Hare, J. M. (2015). Growth hormone-releasing hormone agonists reduce myocardial infarct scar in swine With subacute ischemic cardiomyopathy. Journal of the American Heart Association, 4(4). https://doi.org/10.1161/JAHA.114.001464
469Eriksson, J., Bolger, A. F., Carlhäll, C. J., & Ebbers, T. (2015). Spatial heterogeneity of four-dimensional relative pressure fields in the human left ventricle. Magnetic Resonance in Medicine, 74(6), 1716–1725. https://doi.org/10.1002/mrm.25539
468Nilsson, A., Revstedt, J., Heiberg, E., Ståhlberg, F., & Bloch, K. M. (2015). Volumetric velocity measurements in restricted geometries using spiral sampling: a phantom study. Magnetic Resonance Materials in Physics, Biology and Medicine, 28(2), 103–118. https://doi.org/10.1007/s10334-014-0449-0
467Lantz, J., Renner, J., Länne, T., & Karlsson, M. (2015). Is aortic wall shear stress affected by aging? An image-based numerical study with two age groups. Medical Engineering and Physics, 37(3), 265–271. https://doi.org/10.1016/j.medengphy.2014.12.011
466Blain, A. M., Greally, E., Laval, S. H., Blamire, A. M., MacGowan, G. A., & Straub, V. W. (2015). Assessment of ventricular function in mouse models of muscular dystrophy: A comparison of MRI with conductance catheter. Neuromuscular Disorders, 25(1), 24–31. https://doi.org/10.1016/j.nmd.2014.09.013
465Zuo, Z., Syrovets, T., Genze, F., Abaei, A., Ma, G., Simmet, T., & Rasche, V. (2015). High-resolution MRI analysis of breast cancer xenograft on the chick chorioallantoic membrane. NMR in Biomedicine, 28(4), 440–447. https://doi.org/10.1002/nbm.3270
464Kyhl, K., Vejlstrup, N., Lønborg, J., Treiman, M., Ahtarovski, K. A., Helqvist, S., Kelbæk, H., Holmvang, L., Jørgensen, E., Saunamäki, K., Søholm, H., Andersen, M. J., Møller, J. E., Clemmensen, P., & Engstrøm, T. (2015). Predictors and prognostic value of left atrial remodelling after acute myocardial infarction. Open Heart, 2(1), e000223. https://doi.org/10.1136/openhrt-2014-000223
463Gouda, S., Abdelwahab, A., Salem, M., & Hamid, M. A. (2015). Scar characteristics for prediction of ventricular arrhythmia in ischemic cardiomyopathy. PACE – Pacing and Clinical Electrophysiology, 38(3), 311–318. https://doi.org/10.1111/pace.12536
462Jablonowski, R., Fernlund, E., Aletras, A. H., Engblom, H., Heiberg, E., Liuba, P., Arheden, H., & Carlsson, M. (2015). Regional Stress-Induced Ischemia in Non-fibrotic Hypertrophied Myocardium in Young HCM Patients. Pediatric Cardiology, 36(8), 1662–1669. https://doi.org/10.1007/s00246-015-1214-5
461Liew, Y. M., McLaughlin, R. A., Chan, B. T., Aziz, Y. F. A., Chee, K. H., Ung, N. M., Tan, L. K., Lai, K. W., Ng, S., & Lim, E. (2015). Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI. Physics in Medicine and Biology, 60(7), 2715–2733. https://doi.org/10.1088/0031-9155/60/7/2715
460Jansen of Lorkeers, S. J., Gho, J. M. I. H., Koudstaal, S., Van Hout, G. P. J., Zwetsloot, P. P. M., Van Oorschot, J. W. M., Van Eeuwijk, E. C. M., Leiner, T., Hoefer, I. E., Goumans, M. J., Doevendans, P. A., Sluijter, J. P. G., & Chamuleau, S. A. J. (2015). Xenotransplantation of human cardiomyocyte progenitor cells does not improve cardiac function in a porcine model of chronic ischemic heart failure. Results from a randomized, blinded, placebo controlled trial. PLoS ONE, 10(12), e0143953. https://doi.org/10.1371/journal.pone.0143953
459Bakermans, A. J., Abdurrachim, D., Moonen, R. P. M., Motaal, A. G., Prompers, J. J., Strijkers, G. J., Vandoorne, K., & Nicolay, K. (2015). Small animal cardiovascular MR imaging and spectroscopy. Progress in Nuclear Magnetic Resonance Spectroscopy, 88–89, 1–47. https://doi.org/10.1016/j.pnmrs.2015.03.001
458Maret, E., Liehl, M., Brudin, L., Todt, T., Edvardsen, T., & Engvall, J. E. (2015). Phase analysis detects heterogeneity of myocardial deformation on cine MRI. Scandinavian Cardiovascular Journal, 49(3), 149–158. https://doi.org/10.3109/14017431.2015.1023343
457Erlinge, D., Götberg, M., Noc, M., Lang, I., Holzer, M., Clemmensen, P., Jensen, U., Metzler, B., James, S., Bøtker, H. E., Omerovic, E., Koul, S., Engblom, H., Carlsson, M., Arheden, H., Östlund, O., Wallentin, L., Klos, B., Harnek, J., & Olivecrona, G. K. (2015). Therapeutic Hypothermia for the Treatment of Acute Myocardial Infarction-Combined Analysis of the RAPID MI-ICE and the CHILL-MI Trials. Therapeutic Hypothermia and Temperature Management, 5(2), 77–84. https://doi.org/10.1089/ther.2015.0009
456Ardekani, S., Gunter, G., Jain, S., Weiss, R. G., Miller, M. I., & Younes, L. (2014). Estimating dense cardiac 3D motion using sparse 2D tagged MRI cross-sections. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 5101–5104. https://doi.org/10.1109/EMBC.2014.6944772
455Jablonowski, R., Wilson, M. W., Joudi, N., Hetts, S. W., & Saeed, M. (2014). Three-dimensional MRI assessments of patchy and large myocardial infarction in beating and nonbeating swine hearts: Validation with microscopy. Academic Radiology, 21(8), 1048–1055. https://doi.org/10.1016/j.acra.2014.03.012
454Chan, D. D., Wu, K. C., Loring, Z., Galeotti, L., Gerstenblith, G., Tomaselli, G., Weiss, R. G., Wagner, G. S., & Strauss, D. G. (2014). Comparison of the relation between left ventricular anatomy and QRS duration in patients with cardiomyopathy with versus without left bundle branch block. American Journal of Cardiology, 113(10), 1717–1722. https://doi.org/10.1016/j.amjcard.2014.02.026
453Stephensen, S., Steding-Ehrenborg, K., Munkhammar, P., Heiberg, E., Arheden, H., & Carlsson, M. (2014). The relationship between longitudinal, lateral, and septal contribution to stroke volume in patients with pulmonary regurgitation and healthy volunteers. American Journal of Physiology – Heart and Circulatory Physiology, 306(6), H895-903. https://doi.org/10.1152/ajpheart.00483.2013
452Nucifora, G., Muser, D., Morocutti, G., Piccoli, G., Zanuttini, D., Gianfagna, P., & Proclemer, A. (2014). Disease-specific differences of left ventricular rotational mechanics between cardiac amyloidosis and hypertrophic cardiomyopathy. American Journal of Physiology – Heart and Circulatory Physiology, 307(5), H680-8. https://doi.org/10.1152/ajpheart.00251.2014
451Krishnamurthy, V. K., Evans, A. N., Wansapura, J. P., Osinska, H., Maddy, K. E., Biechler, S. V., Narmoneva, D. A., Goodwin, R. L., & Hinton, R. B. (2014). Asymmetric Cell–Matrix and Biomechanical Abnormalities in Elastin Insufficiency Induced Aortopathy. Annals of Biomedical Engineering, 42(10), 2014–2028. https://doi.org/10.1007/s10439-014-1072-y
450Abdurrachim, D., Ciapaite, J., Wessels, B., Nabben, M., Luiken, J. J. F. P., Nicolay, K., & Prompers, J. J. (2014). Cardiac diastolic dysfunction in high-fat diet fed mice is associated with lipotoxicity without impairment of cardiac energetics in vivo. Biochimica et Biophysica Acta – Molecular and Cell Biology of Lipids, 1841(10), 1525–1537. https://doi.org/10.1016/j.bbalip.2014.07.016
449Pavo, N., Zimmermann, M., Pils, D., Mildner, M., Petrási, Z., Petneházy, Ö., Fuzik, J., Jakab, A., Gabriel, C., Sipos, W., Maurer, G., Gyöngyösi, M., & Ankersmit, H. J. (2014). Long-acting beneficial effect of percutaneously intramyocardially delivered secretome of apoptotic peripheral blood cells on porcine chronic ischemic left ventricular dysfunction. Biomaterials, 35(11), 3541–3550. https://doi.org/10.1016/j.biomaterials.2013.12.071
448Pahlm, U. S., Ubachs, J. F. A., Heiberg, E., Engblom, H., Erlinge, D., Götberg, M., & Arheden, H. (2014). Regional wall function before and after acute myocardial infarction; an experimental study in pigs. BMC Cardiovascular Disorders, 14(1), 118. https://doi.org/10.1186/1471-2261-14-118
447Lantz, J., Dyverfeldt, P., & Ebbers, T. (2014). Improving Blood Flow Simulations by Incorporating Measured Subject-Specific Wall Motion. Cardiovascular Engineering and Technology, 5(3). http://link.springer.com/article/10.1007%2Fs13239-014-0187-5
446Dridi, N. P., Lønborg, J. T., Radu, M. D., Clemmensen, P., Engstrøm, T., Kelbæk, H., Jørgensen, E., Helqvist, S., Saunamäki, K., Christensen, T. H., Baeres, F. M. M., Johansson, P. I., & Holmvang, L. (2014). Hypercoagulation assessed by thromboelastography is neither related to infarct size nor to clinical outcome after primary percutaneous coronary intervention. Clinical and Applied Thrombosis/Hemostasis, 20(8), 825–831. https://doi.org/10.1177/1076029613485411
445Loizou, C. P., Theofanous, C., Pantziaris, M., & Kasparis, T. (2014). Despeckle filtering software toolbox for ultrasound imaging of the common carotid artery. Computer Methods and Programs in Biomedicine, 114(1), 109–124. https://doi.org/10.1016/j.cmpb.2014.01.018
444Lønborg, J., Vejlstrup, N., Kelbæk, H., Nepper-Christensen, L., Jørgensen, E., Helqvist, S., Holmvang, L., Saunamäki, K., Bøtker, H. E., Kim, W. Y., Clemmensen, P., Treiman, M., & Engstrøm, T. (2014). Impact of acute hyperglycemia on myocardial infarct size, area at risk, and salvage in patients with STEMI and the association with exenatide treatment: Results from a randomized study. Diabetes, 63(7), 2474–2485. https://doi.org/10.2337/db13-1849
443Arias, T., Petrov, A., Chen, J., de Haas, H., Pérez-Medina, C., Strijkers, G. J., Hajjar, R. J., Fayad, Z. A., Fuster, V., & Narula, J. (2014). Labeling galectin-3 for the assessment of myocardial infarction in rats. EJNMMI Research, 4(1), 75. https://doi.org/10.1186/s13550-014-0075-x
442Alexandre, J., Saloux, E., Lebon, A., Dugué, A. E., Lemaitre, A., Roule, V., Labombarda, F., Champ-Rigot, L., Gomes, S., Pellissier, A., Scanu, P., & Milliez, P. (2014). Scar extent as a predictive factor of ventricular tachycardia cycle length after myocardial infarction: Implications for implantable cardioverter- defibrillator programming optimization. Europace, 16(2), 220–226. https://doi.org/10.1093/europace/eut289
441Bakos, Z., Ostenfeld, E., Markstad, H., Werther-Evaldsson, A., Roijer, A., Arheden, H., Carlsson, M., & Borgquist, R. (2014). A comparison between radial strain evaluation by speckle-tracking echocardiography and cardiac magnetic resonance imaging, for assessment of suitable segments for left ventricular lead placement in cardiac resynchronization therapy. Europace, 16(12), 1779–1786. https://doi.org/10.1093/europace/euu167
440Friehling, M., Menon, P. G., Ludwig, D. R., & Schwartzman, D. (2014). Single-photon emission computed tomographic-multidetector computed tomographic fusion image integration: A potential aid to left ventricular substrate ablation. Europace, 16(12), 1860–1863. https://doi.org/10.1093/europace/euu073
439Hammer-Hansen, S., Ugander, M., Hsu, L. Y., Taylor, J., Thune, J. J., Køber, L., Kellman, P., & Arai, A. E. (2014). Distinction of salvaged and infarcted myocardium within the ischaemic area-at-risk with T2 mapping. European Heart Journal Cardiovascular Imaging, 15(9), 1048–1053. https://doi.org/10.1093/ehjci/jeu073
438Gyllenhammar, T., Fernlund, E., Jablonowski, R., Jögi, J., Engblom, H., Liuba, P., Arheden, H., & Carlsson, M. (2014). Young patients with hypertrophic cardio myopathy, but not subjects at risk, show decreased myocardial perfusion reserve quantified with CMR. European Heart Journal Cardiovascular Imaging, 15(12), 1350–1357. https://doi.org/10.1093/ehjci/jeu137
437Ludwig, D. R., Friehling, M., Schelbert, E. B., & Schwartzman, D. (2014). Impact of scar on SPECT assay of left ventricular contraction dyssynchrony. European Journal of Nuclear Medicine and Molecular Imaging, 41(3), 529–535. https://doi.org/10.1007/s00259-013-2608-3
436Graça, B., Ferreira, M. J., Donato, P., Castelo-Branco, M., & Caseiro-Alves, F. (2014). Cardiovascular magnetic resonance imaging assessment of diastolic dysfunction in a population without heart disease: A gender-based study. European Radiology, 24(1), 52–59. https://doi.org/10.1007/s00330-013-2976-x
435Graça, B., Ferreira, M. J., Donato, P., Gomes, L., Castelo-Branco, M., & Caseiro-Alves, F. (2014). Left atrial dysfunction in type 2 diabetes mellitus: insights from cardiac MRI. European Radiology, 24(11), 2669–2676. https://doi.org/10.1007/s00330-014-3299-2
434Chirinos, J. A., Rietzschel, E. R., Shiva-Kumar, P., De Buyzere, M. L., Zamani, P., Claessens, T., Geraci, S., Konda, P., De Bacquer, D., Akers, S. R., Gillebert, T. C., & Segers, P. (2014). Effective arterial elastance is insensitive to pulsatile arterial load. Hypertension, 64(5), 1022–1031. https://doi.org/10.1161/HYPERTENSIONAHA.114.03696
433Aristokleous, N., Seimenis, I., Georgiou, G. C., Papaharilaou, Y., Brott, B. C., Nicolaides, A., & Anayiotos, A. S. (2014). Impact of head rotation on the individualized common carotid flow and carotid bifurcation hemodynamics. IEEE Journal of Biomedical and Health Informatics, 18(3), 783–789. https://doi.org/10.1109/JBHI.2014.2305575
432Porras, A. R., Piella, G., Berruezo, A., Fernández-Armenta, J., & Frangi, A. F. (2014). Pre to Intraoperative Data Fusion Framework for Multimodal Characterization of Myocardial Scar Tissue. IEEE Journal of Translational Engineering in Health and Medicine, 2, 1900211. https://doi.org/10.1109/JTEHM.2014.2354332
431Ye, D. H., Desjardins, B., Hamm, J., Litt, H., & Pohl, K. M. (2014). Regional manifold learning for disease classification. IEEE Transactions on Medical Imaging, 33(6), 1236–1247. https://doi.org/10.1109/TMI.2014.2305751
430Arif, O., Sundaramoorthi, G., Hong, B. W., & Yezzi, A. (2014). Tracking using motion estimation with physically motivated inter-region constraints. IEEE Transactions on Medical Imaging, 33(9), 1875–1889. https://doi.org/10.1109/TMI.2014.2325040
429Ma, J., Wang, C., Shene, C. K., & Jiang, J. (2014). A graph-based interface for visual analytics of 3D streamlines and pathlines. IEEE Transactions on Visualization and Computer Graphics, 20(8), 1127–1140. https://doi.org/10.1109/TVCG.2013.236
428Adhyapak, S. M., Menon, P. G., & Rao Parachuri, V. (2014). Restoration of optimal ellipsoid left ventricular geometry: Lessons learnt from in silico surgical modelling. Interactive Cardiovascular and Thoracic Surgery, 18(2), 153–158. https://doi.org/10.1093/icvts/ivt464
427Adhyapaka, S. M., Menon, P. G., Parachuri, V. R., Shetty, D. P., & Fantini, F. (2014). Characterization of dysfunctional remote myocardium in left ventricular anterior aneurysms and improvements following surgical ventricular restoration using cardiac magnetic resonance imaging: Preliminary results. Interactive Cardiovascular and Thoracic Surgery, 19(3), 368–374. https://doi.org/10.1093/icvts/ivu162
426Adhyapaka, S. M., Menon, P. G., Parachuri, V. R., Gadabanahalli, K., Bhat, V. R., Shetty, V., & Shetty, D. (2014). Restoration of optimal left ventricular apical geometry and rotation following surgical ventricular restoration using rectangular patch plasty technique: A pilot study using cardiac magnetic resonance. Interactive Cardiovascular and Thoracic Surgery, 19(3), 398–405. https://doi.org/10.1093/icvts/ivu173
425Varga-Szemes, A., Simor, T., Lenkey, Z., Van Der Geest, R. J., Kirschner, R., Toth, L., Brott, B. C., Elgavish, A., & Elgavish, G. A. (2014). Infarct density distribution by MRI in the porcine model of acute and chronic myocardial infarction as a potential method transferable to the clinic. International Journal of Cardiovascular Imaging, 30(5), 937–948. https://doi.org/10.1007/s10554-014-0408-x
424Petrucci, E., Balian, V., & Bocchieri, A. (2014). Real-time assessment of myocardial viability in the catheterization laboratory using the intracoronary electrograms recorded by the PTCA guidewire in patients with left ventricular dysfunction: Comparison with delayed-enhancement magnetic resonance imagin. JACC: Cardiovascular Interventions, 7(9), 988–996. https://doi.org/10.1016/j.jcin.2014.04.009
423Broadhouse, K. M., Finnemore, A. E., Price, A. N., Durighel, G., Cox, D. J., Edwards, A. D., Hajnal, J. V., & Groves, A. M. (2014). Cardiovascular magnetic resonance of cardiac function and myocardial mass in preterm infants: A preliminary study of the impact of patent ductus arteriosus. Journal of Cardiovascular Magnetic Resonance, 16(1), 54. https://doi.org/10.1186/s12968-014-0054-4
422Haraldsson, H., Hope, M., Acevedo-Bolton, G., Tseng, E., Zhong, X., Epstein, F. H., Ge, L., & Saloner, D. (2014). Feasibility of asymmetric stretch assessment in the ascending aortic wall with DENSE cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 16(1), 6. https://doi.org/10.1186/1532-429X-16-6
421Bacharova, L., Bang, L. E., Szathmary, V., & Mateasik, A. (2014). Imaging QRS complex and ST segment in myocardial infarction. Journal of Electrocardiology, 47(4), 438–447. https://doi.org/10.1016/j.jelectrocard.2014.02.004
420Carlsen, E. A., Hassell, M. E. C. J., Van Hellemond, I. E. G., Bouwmeester, S., Terkelsen, C. J., Ringborn, M., Bang, L. E., & Wagner, G. S. (2014). The stability of myocardial area at risk estimated electrocardiographically in patients with ST elevation myocardial infarction. Journal of Electrocardiology, 47(4), 540–545. https://doi.org/10.1016/j.jelectrocard.2014.04.016
419Carlsen, E. A., Bang, L. E., Lønborg, J., Ahtarovski, K. A., Køber, L., Kelbæk, H., Vejlstrup, N., Jørgensen, E., Helqvist, S., Saunamäki, K., Clemmensen, P., Holmvang, L., Wagner, G. S., & Engstrøm, T. (2014). A mismatch index based on the difference between measured left ventricular ejection fraction and that estimated by infarct size at three months following reperfused acute myocardial infarction. Journal of Electrocardiology, 47(2), 191–196. https://doi.org/10.1016/j.jelectrocard.2013.10.009
418Engblom, H., Aletras, A. H., Heiberg, E., Arheden, H., & Carlsson, M. (2014). Quantification of myocardial salvage by myocardial perfusion SPECT and cardiac magnetic resonance – Reference standards for ECG development. Journal of Electrocardiology, 47(4), 525–534. https://doi.org/10.1016/j.jelectrocard.2014.04.001
417Buonincontri, G., Wood, N. I., Puttick, S. G., Ward, A. O., Carpenter, T. A., Sawiak, S. J., & Morton, A. J. (2014). Right ventricular dysfunction in the R6/2 transgenic mouse model of Huntington’s disease is unmasked by dobutamine. Journal of Huntington’s Disease, 3(1), 25–32. https://doi.org/10.3233/JHD-130083
416Lam, A., Mora-Vieira, L. F., Hoskins, M., Lloyd, M., & Oshinski, J. N. (2014). Performance of 3D, navigator echo-gated, contrast-enhanced, magnetic resonance coronary vein imaging in patients undergoing CRT. Journal of Interventional Cardiac Electrophysiology, 41(2), 155–160. https://doi.org/10.1007/s10840-014-9934-7
415Menon, P. G., Ludwig, D., Lacomis, J., Schwartzman, D., & Toma, C. (2014). Computed tomographic analysis of left ventricular volumes and function after implantation of the Parachute® endoventricular partitioning device. Journal of Interventional Cardiology, 27(6), 604–609. https://doi.org/10.1111/joic.12151
414Lam, A., Clement-Guinaudeau, S., Padala, M., Eisner, R. L., Thourani, V., Vadnais, D., Hurst, S., Guyton, R. A., & Oshinksi, J. N. (2014). Postsurgical hemodynamics of the aortic valve bypass operation evaluated with phase contrast magnetic resonance. Journal of Magnetic Resonance Imaging, 40(4), 899–905. https://doi.org/10.1002/jmri.24423
413Barone-Rochette, G., Augier, C., Rodiere, M., Quesada, J. L., Foote, A., Bouvaist, H., Marlière, S., Fagret, D., Baguet, J. P., & Vanzetto, G. (2014). Potentially simple score of late gadolinium enhancement cardiac MR in acute myocarditis outcome. Journal of Magnetic Resonance Imaging, 40(6), 1347–1354. https://doi.org/10.1002/jmri.24504
412Macgowan, C. K., Chan, K. Y., Laughlin, S., Marrie, R. A., & Banwell, B. (2014). Cerebral arterial and venous blood flow in adolescent multiple sclerosis patients and age-matched controls using phase contrast MRI. Journal of Magnetic Resonance Imaging, 40(2), 341–347. https://doi.org/10.1002/jmri.24388
411Quesnele, J. J., Triano, J. J., Noseworthy, M. D., & Wells, G. D. (2014). Changes in vertebral artery blood flow following various head positions and cervical spine manipulation. Journal of Manipulative and Physiological Therapeutics, 37(1), 22–31. https://doi.org/10.1016/j.jmpt.2013.07.008
410Wang, L., & Lam, A. (2014). MRI Characterizations of Region Specific White Matter Hyperintensities and Vertebral Artery Stenosis. Journal of Neurological Disorders, 02(05). https://doi.org/10.4172/2329-6895.1000178
409Fransson, H., Ljungberg, M., Carlsson, M., Engblom, H., Arheden, H., & Heiberg, E. (2014). Validation of an automated method to quantify stress-induced ischemia and infarction in rest-stress myocardial perfusion SPECT. Journal of Nuclear Cardiology, 21(3), 503–518. https://doi.org/10.1007/s12350-014-9863-y
408Bailliez, A., Blaire, T., Mouquet, F., Legghe, R., Etienne, B., Legallois, D., Agostini, D., & Manrique, A. (2014). Segmental and global left ventricular function assessment using gated SPECT with a semiconductor Cadmium Zinc Telluride (CZT) camera: Phantom study and clinical validation vs cardiac magnetic resonance. Journal of Nuclear Cardiology, 21(4), 712–722. https://doi.org/10.1007/s12350-014-9899-z
407Dutta-Moscato, J., Gopalakrishnan, V., Lotze, M. T., & Becich, M. J. (2014). Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics. Journal of Pathology Informatics, 5(1), 12. https://doi.org/10.4103/2153-3539.129448
406Barone-Rochette, G., Piérard, S., De Meester De Ravenstein, C., Seldrum, S., Melchior, J., Maes, F., Pouleur, A. C., Vancraeynest, D., Pasquet, A., Vanoverschelde, J. L., & Gerber, B. L. (2014). Prognostic significance of LGE by CMR in aortic stenosis patients undergoing valve replacement. Journal of the American College of Cardiology, 64(2), 144–154. https://doi.org/10.1016/j.jacc.2014.02.612
405Erlinge, D., Götberg, M., Lang, I., Holzer, M., Noc, M., Clemmensen, P., Jensen, U., Metzler, B., James, S., Bötker, H. E., Omerovic, E., Engblom, H., Carlsson, M., Arheden, H., Östlund, O., Wallentin, L., Harnek, J., & Olivecrona, G. K. (2014). Rapid endovascular catheter core cooling combined with cold saline as an adjunct to percutaneous coronary intervention for the treatment of acute myocardial infarction: The CHILL-MI trial: A randomized controlled study of the use of central venous cathete. Journal of the American College of Cardiology, 63(18), 1857–1865. https://doi.org/10.1016/j.jacc.2013.12.027
404Massilamany, C., Khalilzad-Sharghi, V., Gangaplara, A., Steffen, D., Othman, S. F., & Reddy, J. (2014). Noninvasive assessment of cardiac abnormalities in experimental autoimmune myocarditis by magnetic resonance microscopy imaging in the mouse. Journal of Visualized Experiments, 88, e51654. https://doi.org/10.3791/51654
403Le Folgoc, L., Delingette, H., Criminisi, A., & Ayache, N. (2014). Sparse Bayesian registration. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8673 LNCS(PART 1), 235–242. https://doi.org/10.1007/978-3-319-10404-1_30
402Kruzick, S., Mengshoel, O., & Menon, P. G. (2014). Detection of myocardial perfusion defects using first pass perfusion cardiac MRI data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8641 LNCS, 248–254. https://doi.org/10.1007/978-3-319-09994-1_23
401Menon, P. G., Adhyapak, S. M., & Parachuri, V. R. (2014). Analysis of cardiac MRI based regional timing of left ventricular mechanical contraction as a biomarker for electrical dyssynchrony in heart-failure patients. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8641 LNCS, 48–56. https://doi.org/10.1007/978-3-319-09994-1_5
400Dyverfeldt, P., Ebbers, T., & Länne, T. (2014). Pulse wave velocity with 4D flow MRI: Systematic differences and age-related regional vascular stiffness. Magnetic Resonance Imaging, 32(10), 1266–1271. https://doi.org/10.1016/j.mri.2014.08.021
399Lorenz, R., Bock, J., Barker, A. J., Von Knobelsdorff-Brenkenhoff, F., Wallis, W., Korvink, J. G., Bissell, M. M., Schulz-Menger, J., & Markl, M. (2014). 4D flow magnetic resonance imaging in bicuspid aortic valve disease demonstrates altered distribution of aortic blood flow helicity. Magnetic Resonance in Medicine, 71(4), 1542–1553. https://doi.org/10.1002/mrm.24802
398Menon, P. G., Morris, L., Staines, M., Lima, J., Lee, D. C., & Gopalakrishnan, V. (2014). Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework. Medical Imaging 2014: Image Processing, 9034, 90341L. https://doi.org/10.1117/12.2042118
397Martins, V. C., Busch, K., Juraeva, D., Blum, C., Ludwig, C., Rasche, V., Lasitschka, F., Mastitsky, S. E., Brors, B., Hielscher, T., Fehling, H. J., & Rodewald, H. R. (2014). Cell competition is a tumour suppressor mechanism in the thymus. Nature, 509(7501), 465–470. https://doi.org/10.1038/nature13317
396Van Slochteren, F. J., Van Es, R., Koudstaal, S., Van Der Spoel, T. I. G., Sluijter, J. P. G., Verbree, J., Pruim, R. H. R., Pluim, J. P. W., Leiner, T., Doevendans, P. A., & Chamuleau, S. A. J. (2014). Multimodality infarct identification for optimal image-guided intramyocardial cell injections. Netherlands Heart Journal, 22(11), 493–500. https://doi.org/10.1007/s12471-014-0604-2
395Buonincontri, G., Methner, C., Krieg, T., Carpenter, T. A., & Sawiak, S. J. (2014). Functional assessment of the mouse heart by MRI with a 1-min acquisition. NMR in Biomedicine, 27(6), 733–737. https://doi.org/10.1002/nbm.3116
394Parker, K. M., Bunting, E., Malhotra, R., Clarke, S. A., Mason, P., Darby, A. E., Kramer, C. M., Salerno, M., Holmes, J. W., & Bilchick, K. C. (2014). Postprocedure mapping of cardiac resynchronization lead position using standard fluoroscopy systems: Implications for the nonresponder with scar. PACE – Pacing and Clinical Electrophysiology, 37(6), 757–767. https://doi.org/10.1111/pace.12344
393Chouchani, E. T., Methner, C., Buonincontri, G., Hu, C. H., Logan, A., Sawiak, S. J., Murphy, M. P., & Krieg, T. (2014). Complex I deficiency due to selective loss of Ndufs4 in the mouse heart results in severe hypertrophic cardiomyopathy. PLoS ONE, 9(4), e94157. https://doi.org/10.1371/journal.pone.0094157
392Luetkens, J. A., Doerner, J., Thomas, D. K., Dabir, D., Gieseke, J., Sprinkart, A. M., Fimmers, R., Stehning, C., Homsi, R., Schwab, J. O., Schild, H., & Naehle, C. P. (2014). Acute myocarditis: Multiparametric cardiac MR imaging. Radiology, 273(2), 383–392. https://doi.org/10.1148/radiol.14132540
391Radunski, U. K., Franzen, O., Barmeyer, A., Lange, M., Lund, G., Rudolph, V., Schlüter, M., Adam, G., Reichenspurner, H., Blankenberg, S., Baldus, S., & Muellerleile, K. (2014). Cardiac remodeling following percutaneous mitral valve repair – initial results assessed by cardiovascular magnetic resonance imaging. RöFo : Fortschritte Auf Dem Gebiete Der Röntgenstrahlen Und Der Nuklearmedizin, 186(10), 951–958. https://doi.org/10.1055/s-0034-1366216
390Mosén, H., & Steding-Ehrenborg, K. (2014). Atrial remodelling is less pronounced in female endurance-trained athletes compared with that in male athletes. Scandinavian Cardiovascular Journal, 48(1), 20–26. https://doi.org/10.3109/14017431.2013.860234
389Jerkeman, A., Westin, J., Lagging, M., Norkrans, G., Lidman, C., Frimand, J., Simonsberg, C., Kakko, J., Widell, A., & Björkman, P. (2014). Chronic hepatitis C in Swedish subjects receiving opiate substitution therapy-Factors associated with advanced fibrosis. Scandinavian Journal of Infectious Diseases, 46(5), 340–347. https://doi.org/10.3109/00365548.2013.879994
388Šramko, M., Kubánek, M., Tintěra, J., Kautznerová, D., Weichet, J., Malušková, J., Franeková, J., & Kautzner, J. (2013). Utility of combination of cardiac magnetic resonance imaging and high-sensitivity cardiac troponin t assay in diagnosis of inflammatory cardiomyopathy. American Journal of Cardiology, 111(2), 258–264. https://doi.org/10.1016/j.amjcard.2012.09.024
387Laughlin, S., Macgowan, C. K., Traubici, J., Chan, K., Khan, S., Arnold, D. L., Marrie, R. A., & Banwell, B. (2013). No evidence for impairment of venous hemodynamics in children or young adults with pediatric-onset multiple sclerosis. American Journal of Neuroradiology, 34(12), 2366–2372. https://doi.org/10.3174/ajnr.A3661
386Malamateniou, C., Malik, S. J., Counsell, S. J., Allsop, J. M., McGuinness, A. K., Hayat, T., Broadhouse, K., Nunes, R. G., Ederies, A. M., Hajnal, J. V., & Rutherford, M. A. (2013). Motion-compensation techniques in neonatal and fetal MR imaging. American Journal of Neuroradiology, 34(6), 1124–1136. https://doi.org/10.3174/ajnr.A3128
385Wåhlin, A., Ambarki, K., Birgander, R., Wieben, O., Johnson, K. M., Malm, J., & Eklund, A. (2013). Measuring pulsatile flow in cerebral arteries using 4D phase-contrast MR imaging. American Journal of Neuroradiology, 34(9), 1740–1745. https://doi.org/10.3174/ajnr.A3442
384Campbell-Washburn, A. E., Price, A. N., Ellmerich, S., Simons, J. P., Al-Shawi, R., Kalber, T. L., Ghatrora, R., Hawkins, P. N., Moon, J. C., Ordidge, R. J., Pepys, M. B., & Lythgoe, M. F. (2013). Monitoring systemic amyloidosis using MRI measurements of the extracellular volume fraction. Amyloid, 20(2), 93–98. https://doi.org/10.3109/13506129.2013.787984
383Pasala, S., McKamie, W. A., Schmitz, M. L., Faulkner, S. C., Bhutta, A. T., Dyamenahalli, U., Shinkawa, T., Imamura, M., & Prodhan, P. (2013). High-dose argatroban for heparin-induced thrombocytopenia in a child using a ventricular assist device. Annals of Thoracic Surgery, 95(3), e57-8. https://doi.org/10.1016/j.athoracsur.2012.08.063
382Fargnoli, A. S., Katz, M. G., Yarnall, C., Isidro, A., Petrov, M., Steuerwald, N., Ghosh, S., Richardville, K. C., Hillesheim, R., Williams, R. D., Kohlbrenner, E., Stedman, H. H., Hajjar, R. J., & Bridges, C. R. (2013). Cardiac surgical delivery of the sarcoplasmic reticulum calcium ATPase rescues myocytes in ischemic heart failure. Annals of Thoracic Surgery, 96(2), 586–595. https://doi.org/10.1016/j.athoracsur.2013.04.021
381Byrnes, J. W., Prodhan, P., Williams, B. A., Schmitz, M. L., Moss, M. M., Dyamenahalli, U., McKamie, W., Morrow, W. R., Imamura, M., & Bhutta, A. T. (2013). Incremental reduction in the incidence of stroke in children supported with the Berlin EXCOR ventricular assist device. Annals of Thoracic Surgery, 96(5), 1727–1733. https://doi.org/10.1016/j.athoracsur.2013.06.012
380Dyamenahalli, U., Morris, M., Rycus, P., Bhutta, A. T., Tweddell, J. S., & Prodhan, P. (2013). Short-term outcome of neonates with congenital heart disease and diaphragmatic hernia treated with extracorporeal membrane oxygenation. Annals of Thoracic Surgery, 95(4), 1373–1376. https://doi.org/10.1016/j.athoracsur.2013.01.003
379Ugander, M., Carlsson, M., & Arheden, H. (2010). Short-axis epicardial volume change is a measure of cardiac left ventricular short-axis function, which is independent of myocardial wall thickness. American Journal of Physiology – Heart and Circulatory Physiology, 298(2). https://doi.org/10.1152/ajpheart.00153.2009
378Won, Y. W., McGinn, A. N., Lee, M., Nam, K., Bull, D. A., & Kim, S. W. (2013). Post-translational regulation of a hypoxia-responsive VEGF plasmid for the treatment of myocardial ischemia. Biomaterials, 34(26), 6229–6238. https://doi.org/10.1016/j.biomaterials.2013.04.061
377Citro, L. A., Kuppusamy, P., Litt, D., Powell, K., & Khan, M. (2013). High-Field Cardiac Magnetic Resonance Imaging in Small [Ohio State University]. In Biophysics: Vol. PhD. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365082830
376Sörensson, P., Rydén, L., Saleh, N., Tornvall, P., Arheden, H., & Pernow, J. (2013). Long-term impact of postconditioning on infarct size and left ventricular ejection fraction in patients with ST-elevation myocardial infarction. BMC Cardiovascular Disorders, 13, 22. https://doi.org/10.1186/1471-2261-13-22
375Jablonowski, R., Nordlund, D., Kanski, M., Ubachs, J., Koul, S., Heiberg, E., Engblom, H., Erlinge, D., Arheden, H., & Carlsson, M. (2013). Infarct quantification using 3D inversion recovery and 2D phase sensitive inversion recovery; validation in patients and ex vivo. BMC Cardiovascular Disorders, 13, 110. https://doi.org/10.1186/1471-2261-13-110
374Schoos, M. M., Lønborg, J., Vejlstrup, N., Engstrøm, T., Bang, L., Kelbæk, H., Clemmensen, P., & Sejersten, M. (2013). A Novel Prehospital Electrocardiogram Score Predicts Myocardial Salvage in Patients with ST-Segment Elevation Myocardial Infarction Evaluated by Cardiac Magnetic Resonance. Cardiology, 126(2), 97–106. https://doi.org/10.1159/000351226
373Drey, F., Choi, Y. H., Neef, K., Ewert, B., Tenbrock, A., Treskes, P., Bovenschulte, H., Liakopoulos, O. J., Brenkmann, M., Stamm, C., Wittwer, T., & Wahlers, T. (2013). Noninvasive in vivo tracking of mesenchymal stem cells and evaluation of cell therapeutic effects in a murine model using a clinical 3.0 T MRI. Cell Transplantation, 22(11), 1971–1980. https://doi.org/10.3727/096368912X657747
372O’Connor, M. J., Imamura, M., & Dyamenahalli, U. (2013). Inversion of the left atrial appendage: An unusual finding after pediatric heart transplantation. Circulation, 128(13), e193-4. https://doi.org/10.1161/CIRCULATIONAHA.113.001595
371Hartmannova, H., Kubanek, M., Sramko, M., Piherova, L., Noskova, L., Hodanova, K., Stranecky, V., Pristoupilova, A., Sovova, J., Marek, T., Maluskova, J., Ridzon, P., Kautzner, J., Hulkova, H., & Kmoch, S. (2013). Isolated X-Linked Hypertrophic Cardiomyopathy Caused by a Novel Mutation of the Four-and-a-Half LIM Domain 1 Gene. Circulation: Cardiovascular Genetics, 6(6), 543–551. https://doi.org/10.1161/CIRCGENETICS.113.000245
370Bissell, M. M., Hess, A. T., Biasiolli, L., Glaze, S. J., Loudon, M., Pitcher, A., Davis, A., Prendergast, B., Markl, M., Barker, A. J., Neubauer, S., & Myerson, S. G. (2013). Aortic dilation in bicuspid aortic valve disease: Flow pattern is a major contributor and differs with valve fusion type. Circulation: Cardiovascular Imaging, 6(4), 499–507. https://doi.org/10.1161/CIRCIMAGING.113.000528
369Barone-Rochette, G., Piérard, S., Seldrum, S., De Meester De Ravenstein, C., Melchior, J., Maes, F., Pouleur, A. C., Vancraeynest, D., Pasquet, A., Vanoverschelde, J. L., & Gerber, B. L. (2013). Aortic valve area, stroke volume, left ventricular hypertrophy, remodeling, and fibrosis in aortic stenosis assessed by cardiac magnetic resonance imaging comparison between high and low gradient and normal and low flow aortic stenosis. Circulation: Cardiovascular Imaging, 6(6), 1009–1017. https://doi.org/10.1161/CIRCIMAGING.113.000515
368Vandoorne, K., Vandsburger, M. H., Raz, T., Shalev, M., Weisinger, K., Biton, I., Brumfeld, V., Raanan, C., Nevo, N., Eilam, R., Hemmings, B. A., Tzahor, E., Harmelin, A., Gepstein, L., & Neeman, M. (2013). Chronic Akt1 deficiency attenuates adverse remodeling and enhances angiogenesis after myocardial infarction. Circulation: Cardiovascular Imaging, 6(6), 992–1000. https://doi.org/10.1161/CIRCIMAGING.113.000828
367Nielsen, R., Nørrelund, H., Kampmann, U., Kim, W. Y., Ringgaard, S., Schär, M., Møller, N., Bøtker, H. E., & Wiggers, H. (2013). Failing heart of patients with type 2 diabetes mellitus can adapt to extreme short-term increases in circulating lipids and does not display features of acute myocardial lipotoxicity. Circulation: Heart Failure, 6(4), 845–852. https://doi.org/10.1161/CIRCHEARTFAILURE.113.000187
366Nucifora, G., Miani, D., Di Chiara, A., Piccoli, G., Artico, J., Puppato, M., Slavich, G., De Biasio, M., Gasparini, D., & Proclemer, A. (2013). Infarct-like acute myocarditis: Relation between electrocardiographic findings and myocardial damage as assessed by cardiac magnetic resonance imaging. Clinical Cardiology, 36(3), 146–152. https://doi.org/10.1002/clc.22088
365Steding‐Ehrenborg, K., Carlsson, M., Stephensen, S., & Arheden, H. (2013). Atrial aspiration from pulmonary and caval veins is caused by ventricular contraction and secures 70% of the total stroke volume independent of resting heart rate and heart size. Clinical Physiology and Functional Imaging, 33(3), 233–240. https://doi.org/10.1111/cpf.12020
364Steding-Ehrenborg, K., Hedén, B., Herbertsson, P., & Arheden, H. (2013). A longitudinal study on cardiac effects of deconditioning and physical reconditioning using the anterior cruciate ligament injury as a model. Clinical Physiology and Functional Imaging, 33(6), 423–430. https://doi.org/10.1111/cpf.12048
363Konecny, F. (2013). Magnetic resonance imaging (MRI) assessment of ventricular remodeling after myocardial infarction in rabbits. Comparative Medicine, 63(3), 205. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=23759522
362Tavakoli, V., & Amini, A. A. (2013). A survey of shaped-based registration and segmentation techniques for cardiac images. Computer Vision and Image Understanding, 117(9), 966–989. http://www.sciencedirect.com/science/article/pii/S1077314213000775
361Lantz, J. (2013). On aortic blood flow simulations: Scale-resolved image-based CFD [Linköping University]. In Division of Applied Thermodynamics and Fluid Mechanics Department of Management and Engineering: Vol. PhD (Issue 1493). http://liu.diva-portal.org/smash/record.jsf?pid=diva2:572525
360Thorstensen, A., Hala, P., Kiss, G., D’Hooge, J., Torp, H., Støylen, A., & Amundsen, B. (2013). Three-dimensional echocardiography in the evaluation of global and regional function in patients with recent myocardial infarction: A comparison with magnetic resonance imaging. Echocardiography, 30(6), 682–692. https://doi.org/10.1111/echo.12115
359Lønborg, J. T., Engstrøm, T., Møller, J. E., Ahtarovski, K. A., Kelbæk, H., Holmvang, L., Jørgensen, E., Helqvist, S., Saunamäki, K., Søholm, H., Andersen, M., Mathiasen, A. B., Kühl, J. T., Clemmensen, P., Køber, L., & Vejlstrup, N. (2013). Left atrial volume and function in patients following ST elevation myocardial infarction and the association with clinical outcome: A cardiovascular magnetic resonance study. European Heart Journal Cardiovascular Imaging, 14(2), 118–127. https://doi.org/10.1093/ehjci/jes118
358Ubachs, J. F. A., Engblom, H., Koul, S., Kanski, M., Andersson, P., Van Der Pals, J., Carlsson, M., Erlinge, D., & Arheden, H. (2013). Myocardium at risk can be determined by ex vivo T2-weighted magnetic resonance imaging even in the presence of gadolinium: Comparison to myocardial perfusion single photon emission computed tomography. European Heart Journal Cardiovascular Imaging, 14(3), 261–268. https://doi.org/10.1093/ehjci/jes142
357Lonborg, J., Vejlstrup, N., Kelbæk, H., Holmvang, L., Jorgensen, E., Helqvist, S., Saunamäki, K., Ahtarovski, K. A., Botker, H. E., Kim, W. Y., Clemmensen, P., & Engstrom, T. (2013). Final infarct size measured by cardiovascular magnetic resonance in patients with ST elevation myocardial infarction predicts long-term clinical outcome: An observational study. European Heart Journal Cardiovascular Imaging, 14(4), 387–395. https://doi.org/10.1093/ehjci/jes271
356Allen, B. D., Barker, A. J., Carr, J. C., Silverberg, R. A., & Markl, M. (2013). Time-resolved three-dimensional phase contrast MRI evaluation of bicuspid aortic valve and coarctation of the aorta. European Heart Journal Cardiovascular Imaging, 14(4), 399. https://doi.org/10.1093/ehjci/jes225
355Munkhammar, P., Carlsson, M., Arheden, H., & Pesonen, E. (2013). Restrictive right ventricular physiology after Tetralogy of Fallot repair is associated with fibrosis of the right ventricular outflow tract visualized on cardiac magnetic resonance imaging. European Heart Journal Cardiovascular Imaging, 14(10), 978–985. https://doi.org/10.1093/ehjci/jet009
354Eriksson, J., Bolger, A. F., Ebbers, T., & Carlhäll, C. J. (2013). Four-dimensional blood flow-specific markers of LV dysfunction in dilated cardiomyopathy. European Heart Journal Cardiovascular Imaging, 14(5), 417–424. https://doi.org/10.1093/ehjci/jes159
353O’Regan, D. P., Ariff, B., Baksi, A. J., Gordon, F., Durighel, G., & Cook, S. A. (2013). Salvage assessment with cardiac MRI following acute myocardial infarction underestimates potential for recovery of systolic strain. European Radiology, 23(5), 1210–1217. https://doi.org/10.1007/s00330-012-2715-8
352Klug, G., & Metzler, B. (2013). Assessing myocardial recovery following ST-segment elevation myocardial infarction: Short-and long-term perspectives using cardiovascular magnetic resonance. Expert Review of Cardiovascular Therapy, 11(2), 203–219. https://doi.org/10.1586/erc.12.173
351Petersson, S. (2013). Fast and Accurate 4D Flow MRI for Cardiovascular Blood Flow Assessment [Linköping University]. In Fast and Accurate 4D Flow MRI for Cardiovascular Blood Flow Assessment: Vol. PhD. https://doi.org/10.3384/diss.diva-100146
350Wei, D., Sun, Y., Ong, S. H., Chai, P., Teo, L. L., & Low, A. F. (2013). A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images. IEEE Transactions on Biomedical Engineering, 60(6), 1499–1508. https://doi.org/10.1109/TBME.2013.2237907
349Ulen, J., Strandmark, P., & Kahl, F. (2013). An efficient optimization framework for multi-region segmentation based on lagrangian duality. IEEE Transactions on Medical Imaging, 32(2), 178–188. https://doi.org/10.1109/TMI.2012.2218117
348Heyde, B., Jasaityte, R., Barbosa, D., Robesyn, V., Bouchez, S., Wouters, P., Maes, F., Claus, P., & D’Hooge, J. (2013). Elastic image registration versus speckle tracking for 2-d myocardial motion estimation: A direct comparison in vivo. IEEE Transactions on Medical Imaging, 32(2), 449–459. https://doi.org/10.1109/TMI.2012.2230114
347Born, S., Pfeifle, M., Markl, M., Gutberlet, M., & Scheuermann, G. (2013). Visual analysis of cardiac 4D MRI blood flow using line predicates. IEEE Transactions on Visualization and Computer Graphics, 19(6), 900–912. https://doi.org/10.1109/TVCG.2012.318
346Sartipy, U., Ivert, T., & Ugander, M. (2013). Blood in, blood out: Left ventricular pseudoaneurysm following mitral valve endocarditis. Interactive Cardiovascular and Thoracic Surgery, 16(4), 547–549. https://doi.org/10.1093/icvts/ivs568
345Miller, R., Davies, N. H., Kortsmit, J., Zilla, P., & Franz, T. (2013). Outcomes of myocardial infarction hydrogel injection therapy in the human left ventricle dependent on injectate distribution. International Journal for Numerical Methods in Biomedical Engineering, 29(8), 870–884. https://doi.org/10.1002/cnm.2551
344Gullestad, L., Ørn, S., Dickstein, K., Eek, C., Edvardsen, T., Aakhus, S., Askevold, E. T., Michelsen, A., Bendz, B., Skårdal, R., Smith, H. J., Yndestad, A., Ueland, T., & Aukrust, P. (2013). Intravenous immunoglobulin does not reduce left ventricular remodeling in patients with myocardial dysfunction during hospitalization after acute myocardial infarction. International Journal of Cardiology, 168(1), 212–218. https://doi.org/10.1016/j.ijcard.2012.09.092
343Saeed, M., Hetts, S. W., Do, L., & Wilson, M. W. (2013). MRI study on volume effects of coronary emboli on myocardial function, perfusion and viability. International Journal of Cardiology, 165(1), 93–99. https://doi.org/10.1016/j.ijcard.2011.07.096
342Saeed, M., Hetts, S. W., Do, L., Sullivan, S. M., & Wilson, M. W. (2013). Mri quantification of left ventricular function in microinfarct versus large infarct in swine model. International Journal of Cardiovascular Imaging, 29(1), 159–168. https://doi.org/10.1007/s10554-012-0076-7
341Saeed, M., Hetts, S. W., Do, L., & Wilson, M. W. (2013). Assessment of microembolization associated with revascularization in acute myocardial infarction: MDCT cardiac perfusion and function study. International Journal of Cardiovascular Imaging, 29(8), 1861–1869. https://doi.org/10.1007/s10554-013-0273-z
340Ambarki, K., Hallberg, P., Jóhannesson, G., Lindén, C., Zarrinkoob, L., Wåhlin, A., Birgander, R., Malm, J., & Eklund, A. (2013). Blood flow of ophthalmic artery in healthy individuals determined by phase-contrast magnetic resonance imaging. Investigative Ophthalmology and Visual Science, 54(4), 2738–2745. https://doi.org/10.1167/iovs.13-11737
339Schwab, F., Schwarz, F., Dietrich, O., Lanz, T., Resmer, F., Wichmann, T., Wintersperger, B. J., Bamberg, F., Nikolaou, K., Reiser, M., & Theisen, D. (2013). Free breathing real-time cardiac cine imaging with improved spatial resolution at 3 T. Investigative Radiology, 48(3), 158–166. https://doi.org/10.1097/RLI.0b013e31827f1b68
338Barker, A. J., Robinson, J. D., & Markl, M. (2013). Bicuspid aortic valve phenotype and aortopathy: Nomenclature and role of aortic hemodynamics. JACC: Cardiovascular Imaging, 6(8), 921. https://doi.org/10.1016/j.jcmg.2013.03.006
337Arvidsson, P. M., Töger, J., Heiberg, E., Carlsson, M., & Arheden, H. (2013). Quantification of left and right atrial kinetic energy using four-dimensional intracardiac magnetic resonance imaging flow measurements. Journal of Applied Physiology, 114(10), 1472–1481. https://doi.org/10.1152/japplphysiol.00932.2012
336Clarke, E. C., Fletcher, D. F., Stoodley, M. A., & Bilston, L. E. (2013). Computational fluid dynamics modelling of cerebrospinal fluid pressure in Chiari malformation and syringomyelia. Journal of Biomechanics, 46(11), 1801–1809. https://doi.org/10.1016/j.jbiomech.2013.05.013
335Lantz, J., Ebbers, T., Engvall, J., & Karlsson, M. (2013). Numerical and experimental assessment of turbulent kinetic energy in an aortic coarctation. Journal of Biomechanics, 46(11), 1851–1858. https://doi.org/10.1016/j.jbiomech.2013.04.028
334Muellerleile, K., Groth, M., Steven, D., Hoffmann, B. A., Saring, D., Radunski, U. K., Lund, G. K., Adam, G., Rostock, T., & Willems, S. (2013). Cardiovascular magnetic resonance demonstrates reversible atrial dysfunction after catheter ablation of persistent atrial fibrillation. Journal of Cardiovascular Electrophysiology, 24(7), 762–767. https://doi.org/10.1111/jce.12125
333Heiberg, E., Pahlm-Webb, U., Agarwal, S., Bergvall, E., Fransson, H., Steding-Ehrenborg, K., Carlsson, M., & Arheden, H. (2013). Longitudinal strain from velocity encoded cardiovascular magnetic resonance: A validation study. Journal of Cardiovascular Magnetic Resonance, 15(1), 15. https://doi.org/10.1186/1532-429X-15-15
332Alexandre, J., Saloux, E., Dugué, A. E., Lebon, A., Lemaitre, A., Roule, V., Labombarda, F., Provost, N., Gomes, S., Scanu, P., & Milliez, P. (2013). Scar extent evaluated by late gadolinium enhancement CMR: A powerful predictor of long term appropriate ICD therapy in patients with coronary artery disease. Journal of Cardiovascular Magnetic Resonance, 15(1), 12. https://doi.org/10.1186/1532-429X-15-12
331Hoerr, V., Nagelmann, N., Nauerth, A., Kuhlmann, M. T., Stypmann, J., & Faber, C. (2013). Cardiac-respiratory self-gated cine ultra-short echo time (UTE) cardiovascular magnetic resonance for assessment of functional cardiac parameters at high magnetic fields. Journal of Cardiovascular Magnetic Resonance, 15(1), 59. https://doi.org/10.1186/1532-429X-15-59
330Kanski, M., Arheden, H., Wuttge, D. M., Bozovic, G., Hesselstrand, R., & Ugander, M. (2013). Pulmonary blood volume indexed to lung volume is reduced in newly diagnosed systemic sclerosis compared to normals – A prospective clinical cardiovascular magnetic resonance study addressing pulmonary vascular changes. Journal of Cardiovascular Magnetic Resonance, 15(1), 86. https://doi.org/10.1186/1532-429X-15-86
329Steding-Ehrenborg, K., Jablonowski, R., Arvidsson, P. M., Carlsson, M., Saltin, B., & Arheden, H. (2013). Moderate intensity supine exercise causes decreased cardiac volumes and increased outer volume variations: A cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance, 15(1), 96. https://doi.org/10.1186/1532-429X-15-96
328Greally, E., Davison, B. J., Blain, A., Laval, S., Blamire, A., Straub, V., & MacGowan, G. A. (2013). Heterogeneous abnormalities of in-vivo left ventricular calcium influx and function in mouse models of muscular dystrophy cardiomyopathy. Journal of Cardiovascular Magnetic Resonance, 15(1), 4. https://doi.org/10.1186/1532-429X-15-4
327Truong, U., Fonseca, B., Dunning, J., Burgett, S., Lanning, C., Ivy, D. D., Shandas, R., Hunter, K., & Barker, A. J. (2013). Wall shear stress measured by phase contrast cardiovascular magnetic resonance in children and adolescents with pulmonary arterial hypertension. Journal of Cardiovascular Magnetic Resonance, 15(1), 81. https://doi.org/10.1186/1532-429X-15-81
326Demidova, M. M., Martín-Yebra, A., Martínez, J. P., Monasterio, V., Koul, S., Van Der Pals, J., Romero, D., Laguna, P., Erlinge, D., & Platonov, P. G. (2013). T wave alternans in experimental myocardial infarction: Time course and predictive value for the assessment of myocardial damage. Journal of Electrocardiology, 46(3), 263–269. https://doi.org/10.1016/j.jelectrocard.2013.03.001
325Akil, S., Al-Mashat, M., Hedén, B., Hedeer, F., Jögi, J., Wang, J. J., Wagner, G. S., Warren, J. W., Pahlm, O., & Horáček, B. M. (2013). Discrimination of ST deviation caused by acute coronary occlusion from normal variants and other abnormal conditions, using computed electrocardiographic imaging based on 12-lead ECG. Journal of Electrocardiology, 46(3), 197–203. https://doi.org/10.1016/j.jelectrocard.2013.02.013
324Wieslander, B., Wu, K. C., Loring, Z., Andersson, L. G., Frank, T. F., Gerstenblith, G., Tomaselli, G. F., Weiss, R. G., Wagner, G. S., Ugander, M., & Strauss, D. G. (2013). Localization of myocardial scar in patients with cardiomyopathy and left bundle branch block using electrocardiographic Selvester QRS scoring. Journal of Electrocardiology, 46(3), 249–255. https://doi.org/10.1016/j.jelectrocard.2013.02.006
323Collste, O., Sörensson, P., Frick, M., Agewall, S., Daniel, M., Henareh, L., Ekenbäck, C., Eurenius, L., Guiron, C., Jernberg, T., Hofman-Bang, C., Malmqvist, K., Nagy, E., Arheden, H., & Tornvall, P. (2013). Myocardial infarction with normal coronary arteries is common and associated with normal findings on cardiovascular magnetic resonance imaging: Results from the Stockholm Myocardial Infarction with Normal Coronaries study. Journal of Internal Medicine, 273(2), 189–196. https://doi.org/10.1111/j.1365-2796.2012.02567.x
322Vermes, E., Childs, H., Carbone, I., Barckow, P., & Friedrich, M. G. (2013). Auto-Threshold quantification of late gadolinium enhancement in patients with acute heart disease. Journal of Magnetic Resonance Imaging, 37(2), 382–390. https://doi.org/10.1002/jmri.23814
321Buonincontri, G., Methner, C., Krieg, T., Carpenter, T. A., & Sawiak, S. J. (2013). A fast protocol for infarct quantification in mice. Journal of Magnetic Resonance Imaging, 38(2), 468–473. https://doi.org/10.1002/jmri.24001
320Maiellaro-Rafferty, K., Wansapura, J. P., Mendsaikhan, U., Osinska, H., James, J. F., Taylor, M. D., Robbins, J., Kranias, E. G., Towbin, J. A., & Purevjav, E. (2013). Altered regional cardiac wall mechanics are associated with differential cardiomyocyte calcium handling due to nebulette mutations in preclinical inherited dilated cardiomyopathy. Journal of Molecular and Cellular Cardiology, 60(1), 151–160. https://doi.org/10.1016/j.yjmcc.2013.04.021
319Clarke, E. C., Stoodley, M. A., & Bilston, L. E. (2013). Changes in temporal flow characteristics of CSF in Chiari malformation Type I with and without syringomyelia: Implications for theory of syrinx development – Clinical article. Journal of Neurosurgery, 118(5), 1135–1140. https://doi.org/10.3171/2013.2.JNS12759
318Friehling, M., Ludwig, D. R., Dunn, M., Siddoway, D., Soman, P., & Schwartzman, D. (2013). Deterioration of left ventricular ejection fraction and contraction synchrony during right ventricular pacing in patients with left bundle branch block. Journal of Nuclear Cardiology, 20(5), 830–834. https://doi.org/10.1007/s12350-013-9752-9
317Carlsson, M., Hedeer, F., Engblom, H., & Arheden, H. (2013). Head-to-head comparison of a 2-day myocardial perfusion gated SPECT protocol and cardiac magnetic resonance late gadolinium enhancement for the detection of myocardial infarction. Journal of Nuclear Cardiology, 20(5), 797–803. https://doi.org/10.1007/s12350-013-9755-6
316Oddstig, J., Hedeer, F., Jögi, J., Carlsson, M., Hindorf, C., & Engblom, H. (2013). Reduced administered activity, reduced acquisition time, and preserved image quality for the new CZT camera. Journal of Nuclear Cardiology, 20(1), 38–44. https://doi.org/10.1007/s12350-012-9634-6
315Michalsky, M. P., Raman, S. V., Teich, S., Schuster, D. P., & Bauer, J. A. (2013). Cardiovascular recovery following bariatric surgery in extremely obese adolescents: Preliminary results using Cardiac Magnetic Resonance (CMR) Imaging. Journal of Pediatric Surgery, 48(1), 170–177. https://doi.org/10.1016/j.jpedsurg.2012.10.032
314Williams, A. R., Suncion, V. Y., McCall, F., Guerra, D., Mather, J., Zambrano, J. P., Heldman, A. W., & Hare, J. M. (2013). Durable Scar Size Reduction Due to Allogeneic Mesenchymal Stem Cell Therapy Regulates Whole‐Chamber Remodeling. Journal of the American Heart Association, 2(3), e000140. https://doi.org/10.1161/jaha.113.000140
313Uppu, S. C., Dyamenahalli, U., Sachdeva, R., Imamura, M., Morrow, W. R., Gossett, J. M., Swearingen, C. J., & Vyas, H. V. (2013). Conal septal morphometrics can identify higher risk neonates with tetralogy of fallot. Journal of the American Society of Echocardiography, 26(2), 200–207. https://doi.org/10.1016/j.echo.2012.10.020
312Arias, T., Chen, J., Fayad, Z. A., Fuster, V., Hajjar, R. J., & Chemaly, E. R. (2013). Comparison of echocardiographic measurements of left ventricular volumes to full volume magnetic resonance imaging in normal and diseased rats. Journal of the American Society of Echocardiography, 26(8), 910–918. https://doi.org/10.1016/j.echo.2013.04.016
311Buonincontri, G., Methner, C., Carpenter, T. A., Hawkes, R. C., Sawiak, S. J., & Krieg, T. (2013). MRI and PET in mouse models of myocardial infarction. Journal of Visualized Experiments : JoVE, 82, e50806. https://doi.org/10.3791/50806
310Chabiniok, R., Maca, R., Benes, M., & Tintera, J. (2013). Segmentation of mri data by means of nonlinear diffusion. Kybernetika, 49(2), 301–318. http://dml.cz/dmlcz/143369
309Morais, P., Heyde, B., Barbosa, D., Queirós, S., Claus, P., & D’hooge, J. (2013). Cardiac motion and deformation estimation from tagged MRI sequences using a temporal coherent image registration framework. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7945 LNCS(June 2015), 316–324. https://doi.org/10.1007/978-3-642-38899-6_38
308Poon, C. Y., Edwards, J. M., Evans, C. J., Harris, A. D., Tsai-Goodman, B., Bolton, C. E., Cockcroft, J. R., Wise, R. G., & Kotecha, S. (2013). Assessment of pulmonary artery pulse wave velocity in children: An MRI pilot study. Magnetic Resonance Imaging, 31(10), 1690–1694. https://doi.org/10.1016/j.mri.2013.08.006
307Price, A. N., Malik, S. J., Broadhouse, K. M., Finnemore, A. E., Durighel, G., Cox, D. J., Edwards, A. D., Groves, A. M., & Hajnal, J. V. (2013). Neonatal cardiac MRI using prolonged balanced SSFP imaging at 3T with active frequency stabilization. Magnetic Resonance in Medicine, 70(3), 776–784. https://doi.org/10.1002/mrm.24518
306Coolen, B. F., Abdurrachim, D., Motaal, A. G., Nicolay, K., Prompers, J. J., & Strijkers, G. J. (2013). High frame rate retrospectively triggered Cine MRI for assessment of murine diastolic function. Magnetic Resonance in Medicine, 69(3), 648–656. https://doi.org/10.1002/mrm.24287
305Wendell, D. C., Samyn, M. M., Cava, J. R., Ellwein, L. M., Krolikowski, M. M., Gandy, K. L., Pelech, A. N., Shadden, S. C., & LaDisa, J. F. (2013). Including aortic valve morphology in computational fluid dynamics simulations: Initial findings and application to aortic coarctation. Medical Engineering and Physics, 35(6), 723–735. https://doi.org/10.1016/j.medengphy.2012.07.015
304Evans, M. A., Smart, N., Dubé, K. N., Bollini, S., Clark, J. E., Evans, H. G., Taams, L. S., Richardson, R., Lévesque, M., Martin, P., Mills, K., Riegler, J., Price, A. N., Lythgoe, M. F., & Riley, P. R. (2013). Thymosin β4-sulfoxide attenuates inflammatory cell infiltration and promotes cardiac wound healing. Nature Communications, 4, 2081. https://doi.org/10.1038/ncomms3081
303Motaal, A. G., Coolen, B. F., Abdurrachim, D., Castro, R. M., Prompers, J. J., Florack, L. M. J., Nicolay, K., & Strijkers, G. J. (2013). Accelerated high-frame-rate mouse heart cine-MRI using compressed sensing reconstruction. NMR in Biomedicine, 26(4), 451–457. https://doi.org/10.1002/nbm.2883
302De Ville de Goyet, M., Moniotte, S., Robert, A., Dupont, S., Vermylen, C., Veyckemans, F., & Brichard, B. (2013). Iron overload in children undergoing cancer treatments. Pediatric Blood and Cancer, 60(12), 1982–1987. https://doi.org/10.1002/pbc.24705
301Blain, A., Greally, E., Laval, S., Blamire, A., Straub, V., & MacGowan, G. A. (2013). Beta-Blockers, Left and Right Ventricular Function, and In-Vivo Calcium Influx in Muscular Dystrophy Cardiomyopathy. PLoS ONE, 8(2), e57260. https://doi.org/10.1371/journal.pone.0057260
300Szema, A. M., Hamidi, S. A., Smith, S. D., & Benveniste, H. (2013). VIP Gene Deletion in Mice Causes Cardiomyopathy Associated with Upregulation of Heart Failure Genes. PLoS ONE, 8(5), e61449. https://doi.org/10.1371/journal.pone.0061449
299Methner, C., Buonincontri, G., Hu, C. I., Vujic, A., Kretschmer, A., Sawiak, S., Carpenter, A., Stasch, J. P., & Krieg, T. (2013). Riociguat reduces infarct size and post-infarct heart failure in mouse hearts: Insights from MRI/PET imaging. PLoS ONE, 8(12), e83910. https://doi.org/10.1371/journal.pone.0083910
298Holmboe, S., Andersen, A., Vildbrad, M. D., Nielsen, J. M., Ringgaard, S., & Nielsen-Kudsk, J. E. (2013). Iloprost improves ventricular function in the hypertrophic and functionally impaired right heart by direct stimulation. Pulmonary Circulation, 3(4), 870–879. https://doi.org/10.1086/674760
297Rajiah, P., Desai, M. Y., Kwon, D., & Flamm, S. D. (2013). MR imaging of myocardial infarction. Radiographics, 33(5), 1383–1412. https://doi.org/10.1148/rg.335125722
296Potet, J., Rahmouni, A., Mayer, J., Vignaud, A., Lim, P., Luciani, A., Dubois-Randé, J. L., Kobeiter, H., & Deux, J. F. (2013). Detection of myocardial edema with low-b-value diffusionweighted echo-planar imaging sequence in patients with acute myocarditis. Radiology, 269(2), 362–369. https://doi.org/10.1148/radiol.13121811
295Cain, J. R., Parkes, L. M., Eadsforth, P., Beards, S. C., & Jackson, A. (2013). Impact of Gas Delivery Systems on Imaging Studies of Human Cerebral Blood Flow. Radiology Research and Practice, 2013, 1–5. https://doi.org/10.1155/2013/694803
294Rademakers, F., Engvall, J., Edvardsen, T., Monaghan, M., Sicari, R., Nagel, E., Zamorano, J., Ukkonen, H., Ebbers, T., Di Bello, V., Voigt, J. U., Herbots, L., Claus, P., & D’Hooge, J. (2013). Determining optimal noninvasive parameters for the prediction of left ventricular remodeling in chronic ischemic patients. Scandinavian Cardiovascular Journal, 47(6), 329–334. https://doi.org/10.3109/14017431.2013.857039
293Gire, J. D., Roberto, R. F., Bobinski, M., Klineberg, E. O., & Durbin-Johnson, B. (2013). The utility and accuracy of computed tomography in the diagnosis of occipitocervical dissociation. Spine Journal, 13(5), 510–519. https://doi.org/10.1016/j.spinee.2013.01.023
292Huber, B. C., Ransohoff, J. D., Ransohoff, K. J., Riegler, J., Ebert, A., Kodo, K., Gong, Y., Sanchez-Freire, V., Dey, D., Kooreman, N. G., Diecke, S., Zhang, W. Y., Odegaard, J., Hu, S., Gold, J. D., Robbins, R. C., & Wu, J. C. (2013). Costimulation-adhesion blockade is superior to cyclosporine a and prednisone immunosuppressive therapy for preventing rejection of differentiated human embryonic stem cells following transplantation. Stem Cells, 31(11), 2354–2363. https://doi.org/10.1002/stem.1501
291Saeed, M., Hetts, S. W., Do, L., Sullivan, S., & Wilson, M. W. (2012). MDCT has the potential to predict percutaneous coronary intervention outcome in swine model: Microscopic validation. Acta Radiologica, 53(9), 987–994. https://doi.org/10.1258/ar.2012.120407
290Lønborg, J., Schoos, M. M., Kelbæk, H., Holmvang, L., Steinmetz, J., Vejlstrup, N., Jørgensen, E., Helqvist, S., Saunamäki, K., Bøtker, H. E., Kim, W. Y., Terkelsen, C. J., Clemmensen, P., & Engstrøm, T. (2012). Impact of system delay on infarct size, myocardial salvage index, and left ventricular function in patients with ST-segment elevation myocardial infarction. American Heart Journal, 164(4), 538–546. https://doi.org/10.1016/j.ahj.2012.07.021
289Mathiasen, A. B., Jorgensen, E., Qayyum, A. A., Haack-Sorensen, M., Ekblond, A., & Kastrup, J. (2012). Rationale and design of the first randomized, double-blind, placebo-controlled trial of intramyocardial injection of autologous bone-marrow derived Mesenchymal Stromal Cells in chronic ischemic Heart Failure (MSC-HF Trial). American Heart Journal, 164(3), 285–291. https://doi.org/10.1016/j.ahj.2012.05.026
288Carlsson, M., Heiberg, E., Toger, J., & Arheden, H. (2012). Quantification of left and right ventricular kinetic energy using four-dimensional intracardiac magnetic resonance imaging flow measurements. American Journal of Physiology – Heart and Circulatory Physiology, 302(4), H893-900. https://doi.org/10.1152/ajpheart.00942.2011
287Prodhan, P., Imamura, M., Garcia, X., Byrnes, J. W., Bhutta, A. T., & Dyamenahalli, U. (2012). Abdominal compartment syndrome in newborns and children supported on extracorporeal membrane oxygenation. ASAIO Journal, 58(2), 143–147. https://doi.org/10.1097/MAT.0b013e318241ac4c
286Jung, C., Sörensson, P., Saleh, N., Arheden, H., Rydén, L., & Pernow, J. (2012). Circulating endothelial and platelet derived microparticles reflect the size of myocardium at risk in patients with ST-elevation myocardial infarction. Atherosclerosis, 221(1), 226–231. https://doi.org/10.1016/j.atherosclerosis.2011.12.025
285Tödt, T., Maret, E., Alfredsson, J., Janzon, M., Engvall, J., & Swahn, E. (2012). Relationship between treatment delay and final infarct size in STEMI patients treated with abciximab and primary PCI. BMC Cardiovascular Disorders, 12(1), 9. https://doi.org/10.1186/1471-2261-12-9
284Dahl, S. K., Thomassen, E., Hellevik, L. R., & Skallerud, B. (2012). Impact of Pulmonary Venous Locations on the Intra-Atrial Flow and the Mitral Valve Plane Velocity Profile. Cardiovascular Engineering and Technology, 3(3), 269–281. https://doi.org/10.1007/s13239-012-0099-1
283Ostenfeld, E., Carlsson, M., Shahgaldi, K., Roijer, A., & Holm, J. (2012). Manual correction of semi-automatic three-dimensional echocardiography is needed for right ventricular assessment in adults; Validation with cardiac magnetic resonance. Cardiovascular Ultrasound, 10(1), 1. https://doi.org/10.1186/1476-7120-10-1
282Barker, A. J., Markl, M., Bürk, J., Lorenz, R., Bock, J., Bauer, S., Schulz-Menger, J., & Von Knobelsdorff-Brenkenhoff, F. (2012). Bicuspid aortic valve is associated with altered wall shear stress in the ascending aorta. Circulation: Cardiovascular Imaging, 5(4), 457–466. https://doi.org/10.1161/CIRCIMAGING.112.973370
281Wu, K. C., Gerstenblith, G., Guallar, E., Marine, J. E., Dalal, D., Cheng, A., Marbán, E., Lima, J. A. C., Tomaselli, G. F., & Weiss, R. G. (2012). Combined cardiac magnetic resonance imaging and C-reactive protein levels identify a cohort at low risk for defibrillator firings and death. Circulation: Cardiovascular Imaging, 5(2), 178–186. https://doi.org/10.1161/CIRCIMAGING.111.968024
280Ugander, M., Soneson, H., Engblom, H., van der Pals, J., Erlinge, D., Heiberg, E., & Arheden, H. (2012). Quantification of myocardium at risk in myocardial perfusion SPECT by co-registration and fusion with delayed contrast-enhanced magnetic resonance imaging – an experimental ex vivo study. Clinical Physiology and Functional Imaging, 32(1), 33–38. https://doi.org/10.1111/j.1475-097X.2011.01051.x
279Kindberg, K., Haraldsson, H., Sigfridsson, A., Sakuma, H., Ebbers, T., & Karlsson, M. (2012). Temporal 3D Lagrangian strain from 2D slice-followed cine DENSE MRI. Clinical Physiology and Functional Imaging, 32(2), 139–144. https://doi.org/10.1111/j.1475-097X.2011.01068.x
278Renner, J., Nadali Najafabadi, H., Modin, D., Länne, T., & Karlsson, M. (2012). Subject-specific aortic wall shear stress estimations using semi-automatic segmentation. Clinical Physiology and Functional Imaging, 32(6), 481–491. https://doi.org/10.1111/j.1475-097X.2012.01146.x
277Hu, N., Sabey, K. H., Curtis, H. R., Hoang, N., Dowdle, S. B., Garzarelli, A. A., Buswell, H. R., DiBella, E., Yockman, J. W., & Bull, D. A. (2012). Magnetic resonance imaging (MRI) assessment of ventricular remodeling after myocardial infarction in rabbits. Comparative Medicine, 62(2), 116–123. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=22546917
276Torstensen, A. (2012). 2D and 3D echocardiography during inotropic alterations and after recent myocardial infarction [NTU Trondheim]. In Departement of Circulation and Medical Imaging: Vol. PhD. http://www.diva-portal.org/smash/get/diva2:600642/FULLTEXT01.pdf
275Lønborg, J., Vejlstrup, N., Kelbæk, H., Bøtker, H. E., Kim, W. Y., Mathiasen, A. B., Jørgensen, E., Helqvist, S., Saunamki, K., Clemmensen, P., Holmvang, L., Thuesen, L., Krusell, L. R., Jensen, J. S., Køber, L., Treiman, M., Holst, J. J., & Engstrøm, T. (2012). Exenatide reduces reperfusion injury in patients with ST-segment elevation myocardial infarction. European Heart Journal, 33(12), 1491–1499. https://doi.org/10.1093/eurheartj/ehr309
274Thorstensen, A., Amundsen, B. H., Dalen, H., Hala, P., Kiss, G., Aase, S. A., Torp, H., & Stoylen, A. (2012). Strain rate imaging combined with wall motion analysis gives incremental value in direct quantification of myocardial infarct size. European Heart Journal Cardiovascular Imaging, 13(11), 914–921. https://doi.org/10.1093/ehjci/jes070
273Bondarenko, O., Beek, A. M., McCann, G. P., & Van Rossum, A. C. (2012). Revascularization in patients with chronic ischaemic myocardial dysfunction: Insights from cardiovascular magnetic resonance imaging. European Heart Journal Cardiovascular Imaging, 13(12), 985–990. https://doi.org/10.1093/ehjci/jes194
272Ubachs, J. F. A., Sörensson, P., Engblom, H., Carlsson, M., Jovinge, S., Pernow, J., & Arheden, H. (2012). Myocardium at risk by magnetic resonance imaging: Head-to-head comparison of T2-weighted imaging and contrast-enhanced steady-state free precession. European Heart Journal Cardiovascular Imaging, 13(12), 1008–1015. https://doi.org/10.1093/ehjci/jes091
271Lass, T., Møller-Madsen, M. K., Nielsen, H. H. M., Ringgaard, S., & Hasenkam, J. M. (2012). Dynamic geometry of the left ventricular outflow tract of pigs with induced supravalvular aortic stenosis. European Journal of Cardio-Thoracic Surgery, 42(4), e80-5. https://doi.org/10.1093/ejcts/ezs397
270Muellerleile, K., Groth, M., Saring, D., Steven, D., Sultan, A., Drewitz, I., Hoffmann, B., Lueker, J., Adam, G., Lund, G. K., Willems, S., & Rostock, T. (2012). Evaluation of different magnetic resonance imaging techniques for the assessment of active left atrial emptying. European Radiology, 22(9), 1904–1911. https://doi.org/10.1007/s00330-012-2460-z
269Katz, M. G., Fargnoli, A. S., Pritchette, L. A., & Bridges, C. R. (2012). Gene delivery technologies for cardiac applications. Gene Therapy, 19(6), 659–669. https://doi.org/10.1038/gt.2012.11
268Dellegrottaglie, S., Pedrotti, P., Roghi, A., Pedretti, S., Chiariello, M., & Perrone-Filardi, P. (2012). Regional and global ventricular systolic function in isolated ventricular non-compaction: Pathophysiological insights from magnetic resonance imaging. International Journal of Cardiology, 158(3), 394–399. https://doi.org/10.1016/j.ijcard.2011.01.063
267Kirschner, R., Varga-Szemes, A., Simor, T., Suranyi, P., Kiss, P., Ruzsics, B., Brott, B. C., Elgavish, A., & Elgavish, G. A. (2012). Acute infarct selective MRI contrast agent. International Journal of Cardiovascular Imaging, 28(2), 285–293. https://doi.org/10.1007/s10554-011-9811-8
266Lin, K., Bi, X., Taimen, K., Zuehlsdorff, S., Lu, B., Carr, J., & Li, D. (2012). Coronary wall MR imaging in patients with rapid heart rates: A feasibility study of black-blood steady-state free precession (SSFP). International Journal of Cardiovascular Imaging, 28(3), 567–575. https://doi.org/10.1007/s10554-011-9852-z
265Lønborg, J., Engstrøm, T., Mathiasen, A. B., & Vejlstrup, N. (2012). Myocardial area at risk after ST-elevation myocardial infarction measured with the late gadolinium enhancement after scar remodeling and T2-weighted cardiac magnetic resonance imaging. International Journal of Cardiovascular Imaging, 28(6), 1455–1464. https://doi.org/10.1007/s10554-011-9952-9
264Ugander, M., Bagi, P. S., Oki, A. J., Chen, B., Hsu, L. Y., Aletras, A. H., Shah, S., Greiser, A., Kellman, P., & Arai, A. E. (2012). Myocardial edema as detected by pre-contrast T1 and T2 CMR delineates area at risk associated with acute myocardial infarction. JACC: Cardiovascular Imaging, 5(6), 596–603. https://doi.org/10.1016/j.jcmg.2012.01.016
263Campbell, I. C., Ries, J., Dhawan, S. S., Quyyumi, A. A., Taylor, W. R., & Oshinski, J. N. (2012). Effect of inlet velocity profiles on patient-specific computational fluid dynamics simulations of the carotid bifurcation. Journal of Biomechanical Engineering, 134(5), 51001. https://doi.org/10.1115/1.4006681
262Lantz, J., & Karlsson, M. (2012). Large eddy simulation of LDL surface concentration in a subject specific human aorta. Journal of Biomechanics, 45(3), 537–542. https://doi.org/10.1016/j.jbiomech.2011.11.039
261Carlsson, M., Andersson, R., Bloch, K. M., Steding-Ehrenborg, K., Mosén, H., Stahlberg, F., Ekmehag, B., & Arheden, H. (2012). Cardiac output and cardiac index measured with cardiovascular magnetic resonance in healthy subjects, elite athletes and patients with congestive heart failure. Journal of Cardiovascular Magnetic Resonance, 14(1), 51. https://doi.org/10.1186/1532-429X-14-51
260Pedersen, S. F., Thrysøe, S. A., Robich, M. P., Paaske, W. P., Ringgaard, S., Bøtker, H. E., Hansen, E. S. S., & Kim, W. Y. (2012). Assessment of intramyocardial hemorrhage by T1-weighted cardiovascular magnetic resonance in reperfused acute myocardial infarction. Journal of Cardiovascular Magnetic Resonance, 14(1), 59. https://doi.org/10.1186/1532-429X-14-59
259Sjögren, J., Ubachs, J. F. A., Engblom, H., Carlsson, M., Arheden, H., & Heiberg, E. (2012). Semi-automatic segmentation of myocardium at risk in T2-weighted cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance, 14(1), 10. https://doi.org/10.1186/1532-429X-14-10
258Lonborg, J., Kelbæk, H., Holmvang, L., Vejlstrup, N., Jorgensen, E., Helqvist, S., Saunamäki, K., Dridi, N. P., Ahtarovski, K. A., Terkelsen, C. J., Botker, H. E., Kim, W. Y., Treiman, M., Clemmensen, P., & Engstrom, T. (2012). ST peak during primary percutaneous coronary intervention predicts final infarct size, left ventricular function, and clinical outcome. Journal of Electrocardiology, 45(6), 708–716. https://doi.org/10.1016/j.jelectrocard.2012.06.028
257Carlsen, E. A., Bang, L. E., Ahtarovski, K. A., Engstrøm, T., Køber, L., Kelbæk, H., Vejlstrup, N., Jørgensen, E., Helqvist, S., Saunamäki, K., Clemmensen, P., Holmvang, L., Wagner, G. S., & Lønborg, J. (2012). Comparison of Selvester QRS score with magnetic resonance imaging measured infarct size in patients with ST elevation myocardial infarction. Journal of Electrocardiology, 45(4), 414–419. https://doi.org/10.1016/j.jelectrocard.2012.03.007
256Wood, N. I., Sawiak, S. J., Buonincontri, G., Niu, Y., Kane, A. D., Carpenter, T. A., Giussani, D. A., & Morton, A. J. (2012). Direct evidence of progressive cardiac dysfunction in a transgenic mouse model of Huntington’s disease. Journal of Huntington’s Disease, 1(1), 57–64. https://doi.org/10.3233/JHD-2012-120004
255Hermeling, E., Vermeersch, S. J., Rietzschel, E. R., De Buyzere, M. L., Gillebert, T. C., Van De Laar, R. J., Ferreira, I., Hoeks, A. P., Van Bortel, L. M., Reneman, R. S., Segers, P., & Reesink, K. D. (2012). The change in arterial stiffness over the cardiac cycle rather than diastolic stiffness is independently associated with left ventricular mass index in healthy middle-aged individuals. Journal of Hypertension, 30(2), 396–402. https://doi.org/10.1097/HJH.0b013e32834e4b75
254Kronborg, M. B., Kim, W. Y., Mortensen, P. T., & Nielsen, J. C. (2012). Non-contrast magnetic resonance imaging for guiding left ventricular lead position in cardiac resynchronization therapy. Journal of Interventional Cardiac Electrophysiology, 33(1), 27–35. https://doi.org/10.1007/s10840-011-9599-4
253Jung, C., Sörensson, P., Saleh, N., Arheden, H., Rydén, L., & Pernow, J. (2012). Effects of myocardial postconditioning on the recruitment of endothelial progenitor cells. Journal of Interventional Cardiology, 25(2), 103–110. https://doi.org/10.1111/j.1540-8183.2011.00704.x
252Ordovas, K. G., Carlsson, M., Lease, K. E., Foster, E., Meadows, A. K., Martin, A. J., Hope, M., Do, L., Higgins, C. B., & Saeed, M. (2012). Impaired regional left ventricular strain after repair of tetralogy of fallot. Journal of Magnetic Resonance Imaging, 35(1), 79–85. https://doi.org/10.1002/jmri.22686
251Shababi, M., Habibi, J., Ma, L., Glascock, J. J., Sowers, J. R., & Lorson, C. L. (2012). Partial restoration of cardio-vascular defects in a rescued severe model of spinal muscular atrophy. Journal of Molecular and Cellular Cardiology, 52(5), 1074–1082. https://doi.org/10.1016/j.yjmcc.2012.01.005
250Katz, M. G., Fargnoli, A. S., Swain, J. D., Tomasulo, C. E., Ciccarelli, M., Huang, Z. M., Rabinowitz, J. E., & Bridges, C. R. (2012). AAV6-$β$ARKct gene delivery mediated by molecular cardiac surgery with recirculating delivery (MCARD) in sheep results in robust gene expression and increased adrenergic reserve. Journal of Thoracic and Cardiovascular Surgery, 143(3), 720–726 e3. https://doi.org/10.1016/j.jtcvs.2011.08.048
249Muzzarelli, S., Ordovas, K. G., Cannavale, G., Naeger, D., Michaels, A. D., & Higgins, C. B. (2012). Potential of delayed gadolinium enhancement magnetic resonance imaging for quantification of reverse remodeling of the peri-infarct zone in patients with ischemic cardiomyopathy treated with chronic vasodilator therapy: Initial experience. Journal of Thoracic Imaging, 27(2), 121–124. https://doi.org/10.1097/RTI.0b013e3182125fb8
248Ou, Y., Ye, D. H., Pohl, K. M., & Davatzikos, C. (2012). Validation of DRAMMS among 12 popular methods in cross-subject cardiac MRI registration. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7359 LNCS, 209–219. https://doi.org/10.1007/978-3-642-31340-0_22
247Bernardis, E., Konukoglu, E., Ou, Y., Metaxas, D. N., Desjardins, B., & Pohl, K. M. (2012). Temporal shape analysis via the spectral signature. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7511 LNCS(Pt 2), 49–56. https://doi.org/10.1007/978-3-642-33418-4_7
246Sigfridsson, A., Petersson, S., Carlhäll, C. J., & Ebbers, T. (2012). Four-dimensional flow MRI using spiral acquisition. Magnetic Resonance in Medicine, 68(4), 1065–1073. https://doi.org/10.1002/mrm.23297
245Lin, H. Y., Bender, J. A., Ding, Y., Chung, Y. C., Hinton, A. M., Pennell, M. L., Whitehead, K. K., Raman, S. V., & Simonetti, O. P. (2012). Shared velocity encoding: A method to improve the temporal resolution of phase-contrast velocity measurements. Magnetic Resonance in Medicine, 68(3), 703–710. https://doi.org/10.1002/mrm.23273
244Månsson, S., Petersson, J. S., & Scheffler, K. (2012). Fast metabolite mapping in the pig heart after injection of hyperpolarized 13C-pyruvate with low-flip angle balanced steady-state free precession imaging. Magnetic Resonance in Medicine, 68(6), 1894–1899. https://doi.org/10.1002/mrm.24183
243Saeed, M., Hetts, S. W., Ursell, P. C., Do, L., Kolli, K. P., & Wilson, M. W. (2012). Evaluation of the acute effects of distal coronary microembolization using multidetector computed tomography and magnetic resonance imaging. Magnetic Resonance in Medicine, 67(6), 1747–1757. https://doi.org/10.1002/mrm.23149
242Lantz, J., Gårdhagen, R., & Karlsson, M. (2012). Quantifying turbulent wall shear stress in a subject specific human aorta using large eddy simulation. Medical Engineering and Physics, 34(8), 1139–1148. https://doi.org/10.1016/j.medengphy.2011.12.002
241Gupta, V., Kirişli, H. A., Hendriks, E. A., van der Geest, R. J., van de Giessen, M., Niessen, W., Reiber, J. H. C., & Lelieveldt, B. P. F. (2012). Cardiac MR perfusion image processing techniques: A survey. Medical Image Analysis, 16(4), 767–785. https://doi.org/10.1016/j.media.2011.12.005
240Hughes, T., & Celler, A. (2012). Toward a practical template-based approach to semiquantitative SPECT myocardial perfusion imaging. Medical Physics, 39(3), 1374–1385. https://doi.org/10.1118/1.3685445
239Licht, C. M. M., Penninx, B. W. J. H., & De Geus, E. J. C. (2012). Effects of antidepressants, but not psychopathology, on cardiac sympathetic control: A longitudinal study. Neuropsychopharmacology, 37(11), 2487–2495. https://doi.org/10.1038/npp.2012.107
238Bhutta, A. T., Schmitz, M. L., Swearingen, C., James, L. P., Wardbegnoche, W. L., Lindquist, D. M., Glasier, C. M., Tuzcu, V., Prodhan, P., Dyamenahalli, U., Imamura, M., Jaquiss, R. D. B., & Anand, K. J. S. (2012). Ketamine as a neuroprotective and anti-inflammatory agent in children undergoing surgery on cardiopulmonary bypass: A pilot randomized, double-blind, placebo-controlled trial. Pediatric Critical Care Medicine, 13(3), 328–337. https://doi.org/10.1097/PCC.0b013e31822f18f9
237Dyamenahalli, U., Tuzcu, V., Fontenot, E., Papagiannis, J., Jaquiss, R., Bhutta, A., Morrow, W. R., Erickson, C. C., Imamura, M., & Prodhan, P. (2012). Extracorporeal membrane oxygenation support for intractable primary arrhythmias and complete congenital heart block in newborns and infants: Short-term and medium-term outcomes. Pediatric Critical Care Medicine, 13(1), 47–52. https://doi.org/10.1097/PCC.0b013e3182196cb1
236Tailounie, M., McAdams, L. A., Frost, K. C., Gossett, J., Green, J., Bhutta, A. T., Dyamenahalli, U., Schmitz, M. L., & Prodhan, P. (2012). Dimension and overlap of femoral and neck blood vessels in neonates. Pediatric Critical Care Medicine, 13(3), 312–317. https://doi.org/10.1097/PCC.0b013e3182257a4c
235Kadir, K., Gao, H., Payne, A., Soraghan, J., & Berry, C. (2012). LV wall segmentation using the variational level set method (LSM) with additional shape constraint for oedema quantification. Physics in Medicine and Biology, 57(19), 6007–6023. https://doi.org/10.1088/0031-9155/57/19/6007
234Romero, D., Ringborn, M., Demidova, M., Koul, S., Laguna, P., Platonov, P. G., & Pueyo, E. (2012). Characterization of ventricular depolarization and repolarization changes in a porcine model of myocardial infarction. Physiological Measurement, 33(12), 1975–1991. https://doi.org/10.1088/0967-3334/33/12/1975
233Björck, H. M., Renner, J., Maleki, S., Nilsson, S. F. E., Kihlberg, J., Folkersen, L., Karlsson, M., Ebbers, T., Eriksson, P., & Länne, T. (2012). Characterization of Shear-Sensitive Genes in the Normal Rat Aorta Identifies Hand2 as a Major Flow-Responsive Transcription Factor. PLoS ONE, 7(12), e52227. https://doi.org/10.1371/journal.pone.0052227
232Lu, Y., Yang, Y., Connelly, K. A., Wright, G. A., & Radau, P. E. (2012). Automated quantification of myocardial infarction using graph cuts on contrast delayed enhanced magnetic resonance images. Quantitative Imaging in Medicine and Surgery, 2(2), 81–86. https://doi.org/10.3978/j.issn.2223-4292.2012.05.03 qims-02-02-081 [pii]
231Aneq, M. Å., Fluur, C., Rehnberg, M., Söderkvist, P., Engvall, J., Nylander, E., & Gunnarsson, C. (2012). Novel plakophilin2 mutation: Three-generation family with arrhythmogenic right ventricular cardiomyopathy. Scandinavian Cardiovascular Journal, 46(2), 72–75. https://doi.org/10.3109/14017431.2011.636068
230Hughes Bsc, T. J. (2012). a Template-Based Method for Semi-Quantitative Single Photon Emission Computed Tomography Myocardial Perfusion Imaging [The University of British Columbia]. In The University of British Columbia: Vol. PhD. https://circle.ubc.ca/bitstream/handle/2429/42844/ubc_2012_fall_hughes_tyler.pdf?sequence=1
229Saeed, M., Hetts, S. W., English, J., Do, L., & Wilson, M. W. (2011). Quantitative and Qualitative Characterization of the Acute Changes in Myocardial Structure and Function after Distal Coronary Microembolization Using MDCT. Academic Radiology, 18(4), 479–487. https://doi.org/10.1016/j.acra.2010.11.016
228Jørgensen, L. H., Blain, A., Greally, E., Laval, S. H., Blamire, A. M., Davison, B. J., Brinkmeier, H., MacGowan, G. A., Schrøder, H. D., Bushby, K., Straub, V., & Lochmüller, H. (2011). Long-term blocking of calcium channels in mdx mice results in differential effects on heart and skeletal muscle. American Journal of Pathology, 178(1), 273–283. https://doi.org/10.1016/j.ajpath.2010.11.027
227Eriksson, J., Dyverfeldt, P., Engvall, J., Bolger, A. F., Ebbers, T., & Carlhäll, C. J. (2011). Quantification of presystolic blood flow organization and energetics in the human left ventricle. American Journal of Physiology – Heart and Circulatory Physiology, 300(6), H2135-41. https://doi.org/10.1152/ajpheart.00993.2010
226Fredriksson, A. G., Zajac, J., Eriksson, J., Dyverfeldt, P., Bolger, A. F., Ebbers, T., & Carlhäll, C. J. (2011). 4-D blood flow in the human right ventricle. American Journal of Physiology – Heart and Circulatory Physiology, 301(6), 2344–2350. https://doi.org/10.1152/ajpheart.00622.2011
225Teixeira, R., Lourenço, C., Baptista, R., Jorge, E., Mendes, P., Saraiva, F., Monteiro, S., Gonçalves, F., Monteiro, P., Ferreira, M. J., Freitas, M., & Providência, L. (2011). Left ventricular end diastolic pressure and acute coronary syndromes. Arquivos Brasileiros de Cardiologia, 97(2), 100–110. https://doi.org/10.1590/S0066-782X2011005000074
224Martins, R. M., Fonseca, R. H. A., Duarte, M. M. T., Reuters, V. S., Ferreira, M. M., Almeida, C., Buescu, A., Teixeira, de P. F. dos S., & Vaisman, M. (2011). Impacto do tratamento do hipotireoidismo subclínico na função cardíaca sistólica e diastólica. Arquivos Brasileiros de Endocrinologia e Metabologia, 55(7), 460–467. https://doi.org/10.1590/S0004-27302011000700005
223Götberg, M. M., Van Der Pals, J., Götberg, M. M., Olivecrona, G. K., Kanski, M., Koul, S., Otto, A., Engblom, H., Ugander, M., Arheden, H., & Erlinge, D. (2011). Optimal timing of hypothermia in relation to myocardial reperfusion. Basic Research in Cardiology, 106(5), 697–708. https://doi.org/10.1007/s00395-011-0195-7
222McGinn, A. N., Nam, H. Y., Ou, M., Hu, N., Straub, C. M., Yockman, J. W., Bull, D. A., & Kim, S. W. (2011). Bioreducible polymer-transfected skeletal myoblasts for VEGF delivery to acutely ischemic myocardium. Biomaterials, 32(3), 942–949. https://doi.org/10.1016/j.biomaterials.2010.09.061
221Töger, J., Carlsson, M., Söderlind, G., Arheden, H., & Heiberg, E. (2011). Volume Tracking: A new method for quantitative assessment and visualization of intracardiac blood flow from three-dimensional, time-resolved, three-component magnetic resonance velocity mapping. BMC Medical Imaging, 11, 10. https://doi.org/10.1186/1471-2342-11-10
220Saeed, M., Saloner, D., Do, L., Wilson, M., & Martin, A. (2011). Cardiovascular magnetic resonance imaging in delivering and evaluating the efficacy of hepatocyte growth factor gene in chronic infarct scar. Cardiovascular Revascularization Medicine, 12(2), 111–122. https://doi.org/10.1016/j.carrev.2010.05.003
219Rafael-Fortney, J. A., Chimanji, N. S., Schill, K. E., Martin, C. D., Murray, J. D., Ganguly, R., Stangland, J. E., Tran, T., Xu, Y., Canan, B. D., Mays, T. A., Delfín, D. A., Janssen, P. M. L., & Raman, S. V. (2011). Early treatment with lisinopril and spironolactone preserves cardiac and skeletal muscle in duchenne muscular dystrophy mice. Circulation, 124(5), 582–588. https://doi.org/10.1161/CIRCULATIONAHA.111.031716
218Modin, D., Renner, J., Gårdhagen, R., Ebbers, T., Länne, T., & Karlsson, M. (2011). Evaluation of aortic geometries created by magnetic resonance imaging data in healthy volunteers. Clinical Physiology and Functional Imaging, 31(6), 485–491. https://doi.org/10.1111/j.1475-097X.2011.01035.x
217Aneq, M. Å., Nylander, E., Ebbers, T., & Engvall, J. (2011). Determination of right ventricular volume and function using multiple axially rotated MRI slices. Clinical Physiology and Functional Imaging, 31(3), 233–239. https://doi.org/10.1111/j.1475-097X.2011.01006.x
216Wang, J. J., Ringborn, M., Pahlm, O., Wagner, G. S., Warren, J. W., & Horáček, B. M. (2011). Electrocardiographic and scintigraphic imaging of myocardial ischemia. In Computing in Cardiology (Vol. 38, pp. 629–632). http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6164644&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6164644
215Addicott, B., Willman, M., Rodriguez, J., Padgett, K., Han, D., Berman, D., Hare, J. M., & Kenyon, N. S. (2011). Mesenchymal stem cell labeling and in vitro MR characterization at 1.5 T of new SPIO contrast agent: Molday ION Rhodamine-BTM. Contrast Media and Molecular Imaging, 6(1), 7–18. https://doi.org/10.1002/cmmi.396
214Renner, J. (2011). Towards Subject Specific Aortic Wall Shear Stress [Linköping University]. In Department of Applied Thermodynamics and Fluid Mechanics: Vol. PhD. http://liu.diva-portal.org/smash/get/diva2:400295/FULLTEXT01.pdf
213Sörensson, P. (2011). Effects of postconditioning in ST-elevation myocardial infarction: Assessment of myocardium at risk and infarct size [Karolinska Institutet]. In Department of Medicine, Solna: Vol. PhD. http://www.avhandlingar.se/avhandling/f1b57efb51/
212Barker, A. J., & Markl, M. (2011). Editorial The role of hemodynamics in bicuspid aortic valve disease. European Journal of Cardio-Thoracic Surgery, 39(6), 805–806. https://doi.org/10.1016/j.ejcts.2011.01.006
211Bodetoft, S., Carlsson, M., Arheden, H., & Ekelund, U. (2011). Effects of oxygen inhalation on cardiac output, coronary blood flow and oxygen delivery in healthy individuals, assessed with MRI. European Journal of Emergency Medicine, 18(1), 25–30. https://doi.org/10.1097/MEJ.0b013e32833a295e
210Matsumoto, H., Matsuda, T., Miyamoto, K., Shimada, T., Mikuri, M., & Hiraoka, Y. (2011). Peri-infarct zone on early contrast-enhanced CMR imaging in patients with acute myocardial infarction. JACC: Cardiovascular Imaging, 4(6), 610–618. https://doi.org/10.1016/j.jcmg.2011.03.015
209Cereda, M., Emami, K., Kadlecek, S., Xin, Y., Mongkolwisetwara, P., Profka, H., Barulic, A., Pickup, S., Månsson, S., Wollmer, P., Ishii, M., Deutschman, C. S., & Rizi, R. R. (2011). Quantitative imaging of alveolar recruitment with hyperpolarized gas MRI during mechanical ventilation. Journal of Applied Physiology, 110(2), 499–511. https://doi.org/10.1152/japplphysiol.00841.2010
208Markl, M., Kilner, P. J., & Ebbers, T. (2011). Comprehensive 4D velocity mapping of the heart and great vessels by cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 13(1), 7. https://doi.org/10.1186/1532-429X-13-7
207Carlsson, M., Töger, J., Kanski, M., Bloch, K. M., Ståhlberg, F., Heiberg, E., & Arheden, H. (2011). Quantification and visualization of cardiovascular 4D velocity mapping accelerated with parallel imaging or k-t BLAST: Head to head comparison and validation at 1.5 T and 3 T. Journal of Cardiovascular Magnetic Resonance, 13(1), 55. https://doi.org/10.1186/1532-429X-13-55
206Lønborg, J., Vejlstrup, N., Mathiasen, A. B., Thomsen, C., Jensen, J. S., & Engstrøm, T. (2011). Myocardial area at risk and salvage measured by T2-weighted cardiovascular magnetic resonance: Reproducibility and comparison of two T2-weighted protocols. Journal of Cardiovascular Magnetic Resonance, 13(1), 50. https://doi.org/10.1186/1532-429X-13-50
205Price, A. N., Cheung, K. K., Lim, S. Y., Yellon, D. M., Hausenloy, D. J., & Lythgoe, M. F. (2011). Rapid assessment of myocardial infarct size in rodents using multi-slice inversion recovery late gadolinium enhancement CMR at 9.4T. Journal of Cardiovascular Magnetic Resonance, 13(1), 44. https://doi.org/10.1186/1532-429X-13-44
204Cacciotti, L., Camastra, G. S., Musarò, S., Spedicato, P., Beni, S., Martina, C., Passaseo, I., Lupparelli, F., & Ansalone, G. (2011). Takotsubo cardiomyopathy in patient with situs viscerum inversus. Journal of Cardiovascular Medicine, 12(4), 285–288. https://doi.org/10.2459/JCM.0b013e32833e579c
203Lim, S. Y., Hausenloy, D. J., Arjun, S., Price, A. N., Davidson, S. M., Lythgoe, M. F., & Yellon, D. M. (2011). Mitochondrial cyclophilin-D as a potential therapeutic target for post-myocardial infarction heart failure. Journal of Cellular and Molecular Medicine, 15(11), 2443–2451. https://doi.org/10.1111/j.1582-4934.2010.01235.x
202Mihai, G., He, X., Zhang, X., Carthy, B. M., & Tran, T. (2011). Design and Rationale for the Study of Changes in Iron and Atherosclerosis Risk in Perimenopause. Journal of Clinical & Experimental Cardiology, 02(09), 152. https://doi.org/10.4172/2155-9880.1000152
201Engblom, H., Strauss, D. G., Heden, B., Hedström, E., Jovinge, S., Götberg, M., Erlinge, D., Wagner, G. S., & Arheden, H. (2011). The evaluation of an electrocardiographic myocardial ischemia acuteness score to predict the amount of myocardial salvage achieved by early percutaneous coronary intervention: Clinical validation with myocardial perfusion single photon emission computed t. Journal of Electrocardiology, 44(5), 525–532. https://doi.org/10.1016/j.jelectrocard.2011.03.008
200Loring, Z., Olson, C. W., Maynard, C., & Hakacova, N. (2011). Modeling vectorcardiograms based on left ventricle papillary muscle position. Journal of Electrocardiology, 44(5), 584–589. https://doi.org/10.1016/j.jelectrocard.2011.06.010
199Demidova, M. M., Van Der Pals, J., Ubachs, J. F. A., Kanski, M., Engblom, H., Erlinge, D., Tichonenko, V. M., & Platonov, P. G. (2011). ST-segment dynamics during reperfusion period and the size of myocardial injury in experimental myocardial infarction. Journal of Electrocardiology, 44(1), 74–81. https://doi.org/10.1016/j.jelectrocard.2010.10.035
198Welinder, A., Hakacova, N., Martin, T., & Engblom, H. (2011). Importance of standardized assessment of late gadolinium enhancement for quantification of infarct size by cardiac magnetic resonance: Implications for comparison with electrocardiogram. Journal of Electrocardiology, 44(5), 538–543. https://doi.org/10.1016/j.jelectrocard.2011.06.007
197Katz, M. G., Fargnoli, A. S., Tomasulo, C. E., Pritchette, L. A., & Bridges, C. R. (2011). Model-specific selection of molecular targets for heart failure gene therapy. Journal of Gene Medicine, 13(10), 573–586. https://doi.org/10.1002/jgm.1610
196Hedström, E., Åström-Olsson, K., Öhlin, A. K., Öhlin, H., & Arheden, H. (2011). Initial results of inflammatory response, matrix remodeling, and reactive oxygen species following PCI in acute ischemic myocardial injury in man. Journal of Invasive Cardiology, 23(9), 371–376. http://www.ncbi.nlm.nih.gov/pubmed/21891809
195Dyverfeldt, P., Kvitting, J. P. E., Carlhäll, C. J., Boano, G., Sigfridsson, A., Hermansson, U., Bolger, A. F., Engvall, J., & Ebbers, T. (2011). Hemodynamic aspects of mitral regurgitation assessed by generalized phase-contrast MRI. Journal of Magnetic Resonance Imaging, 33(3), 582–588. https://doi.org/10.1002/jmri.22407
194Wu, Y., Zhang, L. J., Zou, C., Tse, H. F., & Wu, E. X. (2011). Transmural heterogeneity of left ventricular myocardium remodeling in postinfarct porcine model revealed by MR diffusion tensor imaging. Journal of Magnetic Resonance Imaging, 34(1), 43–49. https://doi.org/10.1002/jmri.22589
193Soneson, H., Hedeer, F., Arévalo, C., Carlsson, M., Engblom, H., Ubachs, J. F. A., Arheden, H., & Heiberg, E. (2011). Development and validation of a new automatic algorithm for quantification of left ventricular volumes and function in gated myocardial perfusion SPECT using cardiac magnetic resonance as reference standard. Journal of Nuclear Cardiology, 18(5), 874–885. https://doi.org/10.1007/s12350-011-9427-3
192Grenne, B., Eek, C., Sjøli, B., Dahlslett, T., Hol, P. K., Ørn, S., Skulstad, H., Smiseth, O. A., Edvardsen, T., & Brunvand, H. (2011). Mean strain throughout the heart cycle by longitudinal two-dimensional speckle-tracking echocardiography enables early prediction of infarct size. Journal of the American Society of Echocardiography, 24(10), 1118–1125. https://doi.org/10.1016/j.echo.2011.06.002
191Kim, J. H., Lim, M. K., Jeon, T. Y., Rha, J. H., Eo, H., Yoo, S. Y., & Shu, C. H. (2011). Diffusion and perfusion characteristics of MELAS (mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episode) in thirteen patients. Korean Journal of Radiology, 12(1), 15–24. https://doi.org/10.3348/kjr.2011.12.1.15
190Kirschner, R., Varga-Szemes, A., Brott, B. C., Litovsky, S., Elgavish, A., Elgavish, G. A., & Simor, T. (2011). Quantification of myocardial viability distribution with Gd(DTPA) bolus-enhanced, signal intensity-based percent infarct mapping. Magnetic Resonance Imaging, 29(5), 650–658. https://doi.org/10.1016/j.mri.2011.02.010
189Hughes, T., Shcherbinin, S., & Celler, A. (2011). A template-based approach to semi-quantitative SPECT myocardial perfusion imaging: Independent of normal databases. Med Phys, 38(7), 4186–4195. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21859020
188Riegler, J., Lau, K. D., Garcia-Prieto, A., Price, A. N., Richards, T., Pankhurst, Q. A., & Lythgoe, M. F. (2011). Magnetic cell delivery for peripheral arterial disease: A theoretical framework. Medical Physics, 38(7), 3932–3943. https://doi.org/10.1118/1.3593363
187Smart, N., Bollini, S., Dubé, K. N., Vieira, J. M., Zhou, B., Davidson, S., Yellon, D., Riegler, J., Price, A. N., Lythgoe, M. F., Pu, W. T., & Riley, P. R. (2011). De novo cardiomyocytes from within the activated adult heart after injury. Nature, 474(7353), 640–644. https://doi.org/10.1038/nature10188
186Kirschner, R., Pécsvárady, Z., Bedros, J. R., Tóth, L., Kiss, K., & Simor, T. (2011). Dobutamine stress cardiovascular magnetic resonance imaging in patients with peripheral artery disease. Orvosi Hetilap, 152(8), 285–291. https://doi.org/10.1556/OH.2011.29040
185Fleig, L., Lippke, S., Pomp, S., & Schwarzer, R. (2011). Intervention effects of exercise self-regulation on physical exercise and eating fruits and vegetables: A longitudinal study in orthopedic and cardiac rehabilitation. Preventive Medicine, 53(3), 182–187. https://doi.org/10.1016/j.ypmed.2011.06.019
184Kotu, L. P., Engan, K., Eftestøl, T., Ørn, S., & Woie, L. (2011). Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2011, 5698–5701. https://doi.org/10.1109/IEMBS.2011.6091379
183Teixeira, R., Lourenço, C., Baptista, R., Jorge, E., Mendes, P., Saraiva, F., Monteiro, S., Gonçalves, F., Monteiro, P., Ferreira, M. J., Freitas, M., & Providência, L. (2011). Prognostic implications of left ventricular end-diastolic pressure in acute coronary syndromes with left ventricular ejection fraction of 40% or over. Revista Portuguesa de Cardiologia, 30(10), 771–779. https://doi.org/10.1016/s0870-2551(11)70025-7
182Muellerleile, K., Baholli, L., Groth, M., Koopmann, K., Barmeyer, A., Gosau, N., Ventura, R., Rostock, T., Koester, R., Adam, G., Willems, S., & Lund, G. (2011). Quantification of mechanical ventricular dyssynchrony: Direct comparison of velocity-encoded and cine magnetic resonance imaging. RoFo Fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren, 183(6), 554–560. https://doi.org/10.1055/s-0031-1273320
181Carlsson, M., Jablonowski, R., Martin, A. J., Ursell, P. C., & Saeed, M. (2011). Coronary microembolization causes long-term detrimental effects on regional left ventricular function. Scandinavian Cardiovascular Journal, 45(4), 205–214. https://doi.org/10.3109/14017431.2011.568629
180Hesselstrand, R., Scheja, A., Wuttge, D. M., Arheden, H., & Ugander, M. (2011). Enlarged right-sided dimensions and fibrosis of the right ventricular insertion point on cardiovascular magnetic resonance imaging is seen early in patients with pulmonary arterial hypertension associated with connective tissue disease. Scandinavian Journal of Rheumatology, 40(2), 133–138. https://doi.org/10.3109/03009742.2010.507217
179Bollini, S., Pozzobon, M., Nobles, M., Riegler, J., Dong, X., Piccoli, M., Chiavegato, A., Price, A. N., Ghionzoli, M., Cheung, K. K., Cabrelle, A., O’Mahoney, P. R., Cozzi, E., Sartore, S., Tinker, A., Lythgoe, M. F., & de Coppi, P. (2011). In Vitro and In Vivo Cardiomyogenic Differentiation of Amniotic Fluid Stem Cells. Stem Cell Reviews and Reports, 7(2), 364–380. https://doi.org/10.1007/s12015-010-9200-z
178Bollini, S., Cheung, K. K., Riegler, J., Dong, X., Smart, N., Ghionzoli, M., Loukogeorgakis, S. P., Maghsoudlou, P., Dubé, K. N., Riley, P. R., Lythgoe, M. F., & De Coppi, P. (2011). Amniotic fluid stem cells are cardioprotective following acute myocardial infarction. Stem Cells and Development, 20(11), 1985–1994. https://doi.org/10.1089/scd.2010.0424
177Rameev, V. V., Kozlovskaya, L. V., Malinina, E. A., Serova, A. G., Kogarko, I. N., Kogarko, B. S., & Lyubimova, N. V. (2011). Current methods of diagnosis and monitoring of a systemic amyloidosis course. Terapevticheskii Arkhiv, 83(8), 48–54. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21961333
176Zeb, I., Hamirani, Y. S., Mao, S., Isma’eel, H., Saeed, A., Karnwal, S., Raina, S., Chung, J., & Budoff, M. J. (2010). Detection of Aortic Regurgitation with 64-slice Multidetector Computed Tomography (MDCT). Academic Radiology, 17(8), 1006–1011. https://doi.org/10.1016/j.acra.2010.04.007
175Saeed, M., Martin, A. J., Saloner, D., Do, L., & Wilson, M. (2010). Noninvasive MR characterization of structural and functional components of reperfused infarct. Acta Radiologica, 51(10), 1093–1102. https://doi.org/10.3109/02841851.2010.520025
174Zhang, H., Morgan, B., Potter, B. J., Ma, L., Dellsperger, K. C., Ungvari, Z., & Zhang, C. (2010). Resveratrol improves left ventricular diastolic relaxation in type 2 diabetes by inhibiting oxidative/nitrative stress: In vivo demonstration with magnetic resonance imaging. American Journal of Physiology – Heart and Circulatory Physiology, 299(4), H985. https://doi.org/10.1152/ajpheart.00489.2010
173Redout, E. M., Van Der Toorn, A., Zuidwijk, M. J., Van De Kolk, C. W. A., Van Echteld, C. J. A., Musters, R. J. P., Van Hardeveld, C., Paulus, W. J., & Simonides, W. S. (2010). Antioxidant treatment attenuates pulmonary arterial hypertension-induced heart failure. American Journal of Physiology – Heart and Circulatory Physiology, 298(3), H1038-47. https://doi.org/10.1152/ajpheart.00097.2009
172Urboniene, D., Haber, I., Fang, Y. H., Thenappan, T., & Archer, S. L. (2010). Validation of high-resolution echocardiography and magnetic resonance imaging vs. high-fidelity catheterization in experimental pulmonary hypertension. American Journal of Physiology – Lung Cellular and Molecular Physiology, 299(3), L401-12. https://doi.org/10.1152/ajplung.00114.2010
171Matsumoto, H., Matsuda, T., Miyamoto, K., Shimada, T., Hayashi, A., Mikuri, M., & Hiraoka, Y. (2010). Late gadolinium-enhanced cardiovascular MRI at end-systole: Feasibility study. American Journal of Roentgenology, 195(5), 1088–1094. https://doi.org/10.2214/AJR.09.3860
170Barker, A. J., Lanning, C., & Shandas, R. (2010). Quantification of hemodynamic wall shear stress in patients with bicuspid aortic valve using phase-contrast MRI. Annals of Biomedical Engineering, 38(3), 788–800. https://doi.org/10.1007/s10439-009-9854-3
169Knippenberg, S. A. M., Wagner, G. S., Ubachs, J. F. A., Gorgels, A., Hedström, E., Arheden, H., & Engblom, H. (2010). Consideration of the impact of reperfusion therapy on the quantitative relationship between the selvester QRS score and infarct size by cardiac MRI. Annals of Noninvasive Electrocardiology, 15(3), 238–244. https://doi.org/10.1111/j.1542-474X.2010.00370.x
168Hakacova, N., Steding, K., Engblom, H., Sjögren, J., Maynard, C., & Pahlm, O. (2010). Aspects of left ventricular morphology outperform left ventricular mass for prediction of QRS duration. Annals of Noninvasive Electrocardiology, 15(2), 124–129. https://doi.org/10.1111/j.1542-474X.2010.00352.x
167Riegler, J., Wells, J. A., Kyrtatos, P. G., Price, A. N., Pankhurst, Q. A., & Lythgoe, M. F. (2010). Targeted magnetic delivery and tracking of cells using a magnetic resonance imaging system. Biomaterials, 31(20), 5366–5371. https://doi.org/10.1016/j.biomaterials.2010.03.032
166Ugander, M., Cain, P. A., Johnsson, P., Palmer, J., & Arheden, H. (2010). Chronic non-transmural infarction has a delayed recovery of function following revascularization. BMC Cardiovascular Disorders, 10, 4. https://doi.org/10.1186/1471-2261-10-4
165van der Pals, J., Koul, S., Andersson, P., Götberg, M., Ubachs, J. F. A., Kanski, M., Arheden, H., Olivecrona, G. K., Larsson, B., & Erlinge, D. (2010). Treatment with the C5a receptor antagonist ADC-1004 reduces myocardial infarction in a porcine ischemia-reperfusion model. BMC Cardiovascular Disorders, 10(1), 45. https://doi.org/10.1186/1471-2261-10-45
164van der Pals, J., Koul, S., Götberg, M. M. I., Olivecrona, G. K., Ugander, M., Kanski, M., Otto, A., Götberg, M. M. I., Arheden, H., & Erlinge, D. (2010). Apyrase treatment of myocardial infarction according to a clinically applicable protocol fails to reduce myocardial injury in a porcine model. BMC Cardiovascular Disorders, 10, 1. https://doi.org/10.1186/1471-2261-10-1
163Hedeer, F., Palmer, J., Arheden, H., & Ugander, M. (2010). Gated myocardial perfusion SPECT underestimates left ventricular volumes and shows high variability compared to cardiac magnetic resonance imaging — a comparison of four different commercial automated software packages. BMC Medical Imaging, 10, 10. https://doi.org/10.1186/1471-2342-10-10
162Stephensen, S. S., Carlsson, M., Ugander, M., Engblom, H., Olivecrona, G., Erlinge, D., & Arheden, H. (2010). Agreement of left ventricular mass in steady state free precession and delayed enhancement MR images: Implications for quantification of fibrosis in congenital and ischemic heart disease. BMC Medical Imaging, 10, 4. https://doi.org/10.1186/1471-2342-10-4
161Heiberg, E., Sjögren, J., Ugander, M., Carlsson, M., Engblom, H., & Arheden, H. (2010). Design and validation of Segment – freely available software for cardiovascular image analysis. BMC Medical Imaging, 10, 1. https://doi.org/10.1186/1471-2342-10-1
160Rosendahl, L., Blomstrand, P., Brudin, L., Tödt, T., & Engvall, J. E. (2010). Longitudinal peak strain detects a smaller risk area than visual assessment of wall motion in acute myocardial infarction. Cardiovascular Ultrasound, 8(1), 2. https://doi.org/10.1186/1476-7120-8-2
159Hatzistergos, K. E., Quevedo, H., Oskouei, B. N., Hu, Q., Feigenbaum, G. S., Margitich, I. S., Mazhari, R., Boyle, A. J., Zambrano, J. P., Rodriguez, J. E., Dulce, R., Pattany, P. M., Valdes, D., Revilla, C., Heldman, A. W., McNiece, I., & Hare, J. M. (2010). Bone marrow mesenchymal stem cells stimulate cardiac stem cell proliferation and differentiation. Circulation Research, 107(7), 913–922. https://doi.org/10.1161/CIRCRESAHA.110.222703
158Lønborg, J., Kelbæk, H., Vejlstrup, N., Jørgensen, E., Helqvist, S., Saunamäki, K., Clemmensen, P., Holmvang, L., Treiman, M., Jensen, J. S., & Engstrøm, T. (2010). Cardioprotective effects of ischemic Postconditioning in patients treated with primary percutaneous coronary intervention, evaluated by magnetic resonance. Circulation: Cardiovascular Interventions, 3(1), 34–41. https://doi.org/10.1161/CIRCINTERVENTIONS.109.905521
157Götberg, M., Olivecrona, G. K., Koul, S., Carlsson, M., Engblom, H., Ugander, M., Van Der Pals, J., Algotsson, L., Arheden, H., & Erlinge, D. (2010). A pilot study of rapid cooling by cold saline and endovascular cooling before reperfusion in patients with ST-elevation myocardial infarction. Circulation: Cardiovascular Interventions, 3(5), 400–407. https://doi.org/10.1161/CIRCINTERVENTIONS.110.957902
156Liang, X. C., Lam, W. W. M., Cheung, E. W. Y., Wu, A. K. P., Wong, S. J., & Cheung, Y. F. (2010). Restrictive right ventricular physiology and right ventricular fibrosis as assessed by cardiac magnetic resonance and exercise capacity after biventricular repair of pulmonary atresia and intact ventricular septum. Clinical Cardiology, 33(2), 104–110. https://doi.org/10.1002/clc.20711
155Rosendahl, L., Ahlander, B. M., Björklund, P. G., Blomstrand, P., Brudin, L., & Engvall, J. E. (2010). Image quality and myocardial scar size determined with magnetic resonance imaging in patients with permanent atrial fibrillation: A comparison of two imaging protocols. Clinical Physiology and Functional Imaging, 30(2), 122–129. https://doi.org/10.1111/j.1475-097X.2009.00914.x
154Garcia, X., Bhutta, A. T., Dyamenahalli, U., Imamura, M., Jaquiss, R. D. B., & Prodhan, P. (2010). Adrenal insufficiency in hemodynamically unstable neonatesafter open-heart surgery. Congenital Heart Disease, 5(5), 422–429. https://doi.org/10.1111/j.1747-0803.2010.00447.x
153Komatsubara, I., Inoue, S., Koumoto, R., Matano, S., Kitawaki, T., Hirohata, S., Miyoshi, T., Ogawa, H., Shinohata, R., & Kusachi, S. (2010). Significant relationship between changes in brachial-ankle pulse wave velocity relative to blood pressure elevation and coronary artery disease. Coronary Artery Disease, 21(7), 407–413. https://doi.org/10.1097/MCA.0b013e32833e1c19
152O’Regan, D. P., Ariff, B., Neuwirth, C., Tan, Y., Durighel, G., & Cook, S. A. (2010). Assessment of severe reperfusion injury with T2* cardiac MRI in patients with acute myocardial infarction. Heart, 96(23), 1885–1891. https://doi.org/10.1136/hrt.2010.200634
151Grenne, B., Eek, C., Sjøli, B., Dahlslett, T., Uchto, M., Hol, P. K., Skulstad, H., Smiseth, O. A., Edvardsen, T., & Brunvand, H. (2010). Acute coronary occlusion in non-ST-elevation acute coronary syndrome: Outcome and early identification by strain echocardiography. Heart, 96(19), 1550–1556. https://doi.org/10.1136/hrt.2009.188391
150Sörensson, P., Saleh, N., Bouvier, F., Böhm, F., Settergren, M., Caidahl, K., Tornvall, P., Arheden, H., Rydén, L., & Pernow, J. (2010). Effect of postconditioning on infarct size in patients with ST elevation myocardial infarction. Heart, 96(21), 1710–1715. https://doi.org/10.1136/hrt.2010.199430
149Apitz, C., Latus, H., Binder, W., Uebing, A., Seeger, A., Bretschneider, C., Sieverding, L., & Hofbeck, M. (2010). Impact of restrictive physiology on intrinsic diastolic right ventricular function and lusitropy in children and adolescents after repair of tetralogy of Fallot. Heart, 96(22), 1837–1841. https://doi.org/10.1136/hrt.2010.203190
148Chirinos, J. A., & Segers, P. (2010). Noninvasive evaluation of left ventricular afterload: Part 1: Pressure and flow measurements and basic principles of wave conduction and reflection. Hypertension, 56(4), 555–562. https://doi.org/10.1161/HYPERTENSIONAHA.110.157321
147Zhang, R., Zhang, Y. Y., Huang, X. R., Wu, Y., Chung, A. C. K., Wu, E. X., Szalai, A. J., Wong, B. C. Y., Lau, C. P., & Lan, H. Y. (2010). C-reactive protein promotes cardiac fibrosis and inflammation in angiotensin II-induced hypertensive cardiac disease. Hypertension, 55(4), 953–960. https://doi.org/10.1161/HYPERTENSIONAHA.109.140608
146Dicks, D., Saloner, D., Martin, A., Carlsson, M., & Saeed, M. (2010). Percutaneous transendocardial VEGF gene therapy: MRI guided delivery and characterization of 3D myocardial strain. International Journal of Cardiology, 143(3), 255–263. https://doi.org/10.1016/j.ijcard.2009.02.030
145Torbrand, C., Ugander, M., Engblom, H., Olivecrona, G. K., Gålne, O., Arheden, H., Ingemansson, R., & Malmsjö, M. (2010). Changes in cardiac pumping efficiency and intra-thoracic organ volume during negative pressure wound therapy of sternotomy wounds, assessment using magnetic resonance imaging. International Wound Journal, 7(2), 115–121. https://doi.org/10.1111/j.1742-481X.2010.00664.x
144Leander, P., Golman, K., Månsson, S., & Höglund, P. (2010). Orally administered manganese with and without ascorbic acid as a liver-specific contrast agent and bowel marker for magnetic resonance imaging: Phase i clinical trial assessing efficacy and safety. Investigative Radiology, 45(9), 559–564. https://doi.org/10.1097/RLI.0b013e3181e960ab
143Gårdhagen, R., Lantz, J., Carlsson, F., & Karlsson, M. (2010). Quantifying turbulent wall shear stress in a stenosed pipe using large eddy simulation. Journal of Biomechanical Engineering, 132(6), 61002. https://doi.org/10.1115/1.4001075
142Torbrand, C., Ugander, M., Engblom, H., Arheden, H., Ingemansson, R., & Malmsjö, M. (2010). Wound contraction and macro-deformation during negative pressure therapy of sternotomy wounds. Journal of Cardiothoracic Surgery, 5(1), 75. https://doi.org/10.1186/1749-8090-5-75
141Eriksson, J., Carlhäll, C., Dyverfeldt, P., Engvall, J., Bolger, A., & Ebbers, T. (2010). Semi-automatic quantification of 4D left ventricular blood flow. Journal of Cardiovascular Magnetic Resonance, 12(1), 9. https://doi.org/10.1186/1532-429X-12-9
140Steding, K., Engblom, H., Buhre, T., Carlsson, M., Mosén, H., Wohlfart, B., & Arheden, H. (2010). Relation between cardiac dimensions and peak oxygen uptake. Journal of Cardiovascular Magnetic Resonance, 12(1), 8. https://doi.org/10.1186/1532-429X-12-8
139Ubachs, J., Engblom, H., Erlinge, D., Jovinge, S., Hedström, E., Carlsson, M., & Arheden, H. (2010). Cardiovascular magnetic resonance of the myocardium at risk in acute reperfused myocardial infarction: Comparison of T2-weighted imaging versus the circumferential endocardial extent of late gadolinium enhancement with transmural projection. Journal of Cardiovascular Magnetic Resonance, 12(1), 18. https://doi.org/10.1186/1532-429X-12-18
138Sörensson, P., Heiberg, E., Saleh, N., Bouvier, F., Caidahl, K., Tornvall, P., Rydén, L., Pernow, J., & Arheden, H. (2010). Assessment of myocardium at risk with contrast enhanced steady-state free precession cine cardiovascular magnetic resonance compared to single-photon emission computed tomography. Journal of Cardiovascular Magnetic Resonance, 12(1), 25. https://doi.org/10.1186/1532-429X-12-25
137Engblom, H., Steding, K., Carlsson, M., Mosén, H., Hedén, B., Buhre, T., Ekmehag, B., & Arheden, H. (2010). Peak oxygen uptake in relation to total heart volume discriminates heart failure patients from healthy volunteers and athletes. Journal of Cardiovascular Magnetic Resonance, 12(1), 74. https://doi.org/10.1186/1532-429X-12-74
136Cacciotti, L., Camastra, G. S., Musarò, S., Proietti, I., Semeraro, R., Martina, C., Lupparelli, F., & Ansalone, G. (2010). Stress cardiomyopathy: Transient basal ballooning. Journal of Cardiovascular Medicine, 11(10), 764–767. https://doi.org/10.2459/JCM.0b013e328334466c
135Pandozi, C., Dottori, S., Lavalle, C., Ficili, S., Galeazzi, M., Russo, M., Pandozi, A., Camastra, G., Ansalone, G., & Santini, M. (2010). Integration of MR images with electroanatomical maps: Feasibility and utility in guiding left ventricular substrate mapping. Journal of Interventional Cardiac Electrophysiology, 29(3), 157–166. https://doi.org/10.1007/s10840-010-9514-4
134Riegler, J., Cheung, K. K., Man, Y. F., Cleary, J. O., Price, A. N., & Lythgoe, M. F. (2010). Comparison of segmentation methods for MRI measurement of cardiac function in rats. Journal of Magnetic Resonance Imaging : JMRI, 32(4), 869–877. https://doi.org/10.1002/jmri.22305
133Soneson, H., Engblom, H., Hedström, E., Bouvier, F., Sörensson, P., Pernow, J., Arheden, H., & Heiberg, E. (2010). An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion. Journal of Nuclear Cardiology, 17(5), 831–840. https://doi.org/10.1007/s12350-010-9237-z
132Skaug, T. R., Hergum, T., Amundsen, B. H., Skjærpe, T., Torp, H., & Haugen, B. O. (2010). Quantification of Mitral Regurgitation Using High Pulse Repetition Frequency Three-Dimensional Color Doppler. Journal of the American Society of Echocardiography, 23(1), 1–8. https://doi.org/10.1016/j.echo.2009.10.005
131Abraham, B. P., Prodhan, P., Jaquiss, R. D. B., Bhutta, A. T., Gossett, J. M., Imamura, M., Johnson, C. E., Schmitz, M. L., Morrow, W. R., & Dyamenahalli, U. (2010). Cardiopulmonary bypass flow rate: A risk factor for hyperlactatemia after surgical repair of secundum atrial septal defect in children. Journal of Thoracic and Cardiovascular Surgery, 139(1), 170–173. https://doi.org/10.1016/j.jtcvs.2009.04.060
130Prodhan, P., Fiser, R. T., Cenac, S., Bhutta, A. T., Fontenot, E., Moss, M., Schexnayder, S., Seib, P., Chipman, C., Weygandt, L., Imamura, M., Jaquiss, R. D. B., & Dyamenahalli, U. (2010). Intrahospital transport of children on extracorporeal membrane oxygenation: Indications, process, interventions, and effectiveness. Pediatric Critical Care Medicine, 11(2), 227–233. https://doi.org/10.1097/PCC.0b013e3181b063b2
129Buckmiller, L. M., Munson, P. D., Dyamenahalli, U., Dai, Y., & Richter, G. T. (2010). Propranolol for infantile hemangiomas: Early experience at a tertiary vascular anomalies center. Laryngoscope, 120(4), 676–681. https://doi.org/10.1002/lary.20807
128Ugander, M., Kanski, M., Engblom, H., Götberg, M., Olivecrona, G. K., Erlinge, D., Heiberg, E., & Arheden, H. (2010). Pulmonary blood volume variation decreases after myocardial infarction in pigs: A quantitative and noninvasive MR imaging measure of heart failure. Radiology, 256(2), 415–423. https://doi.org/10.1148/radiol.10090292
127Carlsson, M., Saloner, D., Martin, A. J., Ursell, P. C., & Saeed, M. (2010). Heterogeneous microinfarcts caused by coronary microemboli: evaluation with multidetector CT and MR imaging in a swine model. Radiology, 254(3), 718–728. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=20177087
126Tibbitt, M. W., Kloxin, A. M., Dyamenahalli, K. U., & Anseth, K. S. (2010). Controlled two-photon photodegradation of PEG hydrogels to study and manipulate subcellular interactions on soft materials. Soft Matter, 6(20), 5100–5108. https://doi.org/10.1039/c0sm00174k
125Poon, C. Y., & Kotecha, S. (2010). Assessment of pulmonary arterial haemodynamics by MRI in children born preterm. Welsh Paediatric Journal, 33, 6–8. http://orca.cf.ac.uk/39792/
124Saeed, M. (2010). Reperfusion injury components and manifestations determined by cardiovascular MR and MDCT imaging. World Journal of Radiology, 2(1), 1. https://doi.org/10.4329/wjr.v2.i1.1
123Carlsson, M., Ursell, P. C., Saloner, D., & Saeed, M. (2009). Multidetector computed tomography for characterization of calcium deposits in reperfused myocardial infarction. Acta Radiologica, 50(4), 396–405. https://doi.org/10.1080/02841850902756540
122Goldsmith, Y. B., Liu, J., Chou, J., Hoffman, J., Comenzo, R. L., & Steingart, R. M. (2009). Frequencies and Types of Arrhythmias in Patients With Systemic Light-Chain Amyloidosis With Cardiac Involvement Undergoing Stem Cell Transplantation on Telemetry Monitoring. American Journal of Cardiology, 104(7), 990–994. https://doi.org/10.1016/j.amjcard.2009.05.040
121Handoko, M. L., Lamberts, R. R., Redout, E. M., De Man, F. S., Boer, C., Simonides, W. S., Paulus, W. J., Westerhof, N., Allaart, C. P., & Vonk-Noordegraaf, A. (2009). Right ventricular pacing improves right heart function in experimental pulmonary arterial hypertension: A study in the isolated heart. American Journal of Physiology – Heart and Circulatory Physiology, 297(5), H1752-9. https://doi.org/10.1152/ajpheart.00555.2009
120O’Regan, D. P., Ahmed, R., Neuwirth, C., Tan, Y., Durighel, G., Hajnal, J. V., Nadra, I., Corbett, S. J., & Cook, S. A. (2009). Cardiac MRI of myocardial salvage at the peri-infarct border zones after primary coronary intervention. American Journal of Physiology – Heart and Circulatory Physiology, 297(1), H340-6. https://doi.org/10.1152/ajpheart.00011.2009
119Imamura, M., Dossey, A. M., Prodhan, P., Schmitz, M., Frazier, E., Dyamenahalli, U., Bhutta, A., Morrow, W. R., & Jaquiss, R. D. B. (2009). Bridge to Cardiac Transplant in Children: Berlin Heart versus Extracorporeal Membrane Oxygenation. Annals of Thoracic Surgery, 87(6), 1894–1901. https://doi.org/10.1016/j.athoracsur.2009.03.049
118Gnyawali, S. C., Roy, S., McCoy, M., Biswas, S., & Sen, C. K. (2009). Remodeling of the ischemia-reperfused murine heart: 11.7-T cardiac magnetic resonance imaging of contrast-enhanced infarct patches and transmurality. Antioxidants and Redox Signaling, 11(8), 1829–1839. https://doi.org/10.1089/ars.2009.2635
117Bloch, K. M., Carlsson, M., Arheden, H., & Ståhlberg, F. (2009). Quantifying coronary sinus flow and global LV perfusion at 3T. BMC Medical Imaging, 9, 9. https://doi.org/10.1186/1471-2342-9-9
116Hedén, B., Persson, E., Carlsson, M., Pahlm, O., & Arheden, H. (2009). Disappearance of myocardial perfusion defects on prone SPECT imaging: Comparison with cardiac magnetic resonance imaging in patients without established coronary artery disease. BMC Medical Imaging, 9(1), 16. https://doi.org/10.1186/1471-2342-9-16
115Maret, E., Todt, T., Brudin, L., Nylander, E., Swahn, E., Ohlsson, J. L., & Engvall, J. E. (2009). Functional measurements based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar. Cardiovascular Ultrasound, 7(1), 53. https://doi.org/10.1186/1476-7120-7-53
114Engblom, H., Hedstrom̈, E., Heiberg, E., Wagner, G. S., Pahlm, O., & Arheden, H. (2009). Rapid initial reduction of hyperenhanced myocardium after reperfused first myocardial infarction suggests recovery of the peri-infarction zone one-year follow-up by MRI. Circulation: Cardiovascular Imaging, 2(1), 47–55. https://doi.org/10.1161/CIRCIMAGING.108.802199
113Hakacova, N., Robinson, A. M. C., Maynard, C., Wagner, G. S., & Idriss, S. F. (2009). Determination of the mitral papillary muscle positions by the septal-to-free wall arc ratio method. Clinical Physiology and Functional Imaging, 29(3), 181–186. https://doi.org/10.1111/j.1475-097X.2008.00853.x
112Prodhan, P., Greenberg, B., Bhutta, A. T., Hyde, C., Vankatesan, A., Imamura, M., Jaquiss, R. D. B., & Dyamenahalli, U. (2009). Recombinant human deoxyribonuclease improves atelectasis in mechanically ventilated children with cardiac disease. Congenital Heart Disease, 4(3), 166–173. https://doi.org/10.1111/j.1747-0803.2009.00289.x
111Schuleri, K. H., Feigenbaum, G. S., Centola, M., Weiss, E. S., Zimmet, J. M., Turney, J., Kellner, J., Zviman, M. M., Hatzistergos, K. E., Detrick, B., Conte, J. V., McNiece, I., Steenbergen, C., Lardo, A. C., & Hare, J. M. (2009). Autologous mesenchymal stem cells produce reverse remodelling in chronic ischaemic cardiomyopathy. European Heart Journal, 30(22), 2722–2732. https://doi.org/10.1093/eurheartj/ehp265
110Mendichovszky, I. A., Cutajar, M., & Gordon, I. (2009). Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study. European Journal of Radiology, 71(3), 576–581. https://doi.org/10.1016/j.ejrad.2008.09.025
109Iliopoulou, B. P., & Huber, B. T. (2009). Emergence of chronic Lyme arthritis: Putting the breaks on CD28 costimulation. Immunopharmacology and Immunotoxicology, 31(2), 180–185. https://doi.org/10.1080/08923970802391459
108Maret, E. (2009). Noninvasive Evaluation of Myocardial Ischemia and Left Ventricular Function [Linköping University]. In Institutionen för medicin och hälsa, Klinisk fysiologi: Vol. PhD. http://liu.diva-portal.org/smash/get/diva2:217955/FULLTEXT01.pdf
107Camastra, G. S., Cacciotti, L., Semeraro, R., Marconi, F., Sbarbati, S., Danti, M., Sala, S. Della, & Ansalone, G. (2009). Contrast-enhanced MRI to recognize myocarditis with STEMI presentation. Internal and Emergency Medicine, 4(2), 183–185. https://doi.org/10.1007/s11739-008-0223-2
106Hakacova, N., Wagner, G. S., & Idriss, S. F. (2009). Electroanatomic Relationships in Patients With Primum Atrioventricular Septal Defect. JACC: Cardiovascular Imaging, 2(12), 1357–1365. https://doi.org/10.1016/j.jcmg.2009.08.009
105Carlsson, M., Ubachs, J. F. A., Hedström, E., Heiberg, E., Jovinge, S., & Arheden, H. (2009). Myocardium at Risk After Acute Infarction in Humans on Cardiac Magnetic Resonance. Quantitative Assessment During Follow-Up and Validation With Single-Photon Emission Computed Tomography. JACC: Cardiovascular Imaging, 2(5), 569–576. https://doi.org/10.1016/j.jcmg.2008.11.018
104Wagner, G. S., & Hakacova, N. (2009). Electrocardiographic Measures of Myocardial Function and Necrosis. JACC: Cardiovascular Imaging, 2(10), 1195–1197. https://doi.org/10.1016/j.jcmg.2009.08.002
103Sun, K., Stander, N., Jhun, C. S., Zhang, Z., Suzuki, T., Wang, G. Y., Saeed, M., Wallace, A. W., Tseng, E. E., Baker, A. J., Saloner, D., Einstein, D. R., Ratcliffe, M. B., & Guccione, J. M. (2009). A computationally efficient formal optimization of regional myocardial contractility in a sheep with left ventricular aneurysm. Journal of Biomechanical Engineering, 131(11), 111001. https://doi.org/10.1115/1.3148464
102Beek, A. M., Bondarenko, O., Afsharzada, F., & Van Rossum, A. C. (2009). Quantification of late gadolinium enhanced CMR in viability assessment in chronic ischemic heart disease: A comparison to functional outcome. Journal of Cardiovascular Magnetic Resonance, 11(1), 6. https://doi.org/10.1186/1532-429X-11-6
101Hedström, E., Engblom, H., Frogner, F., Ålström-Olsson, K., Öhlin, H., Jovinge, S., & Arheden, H. (2009). Infarct evolution in man studied in patients with first-time coronary occlusion in comparison to different species – Implications for assessment of myocardial salvage. Journal of Cardiovascular Magnetic Resonance, 11(1), 38. https://doi.org/10.1186/1532-429X-11-38
100Ugander, M., Jense, E., & Arheden, H. (2009). Pulmonary intravascular blood volume changes through the cardiac cycle in healthy volunteers studied by cardiovascular magnetic resonance measurements of arterial and venous flow. Journal of Cardiovascular Magnetic Resonance, 11(1), 42. https://doi.org/10.1186/1532-429X-11-42
99Hakacova, N. (2009). Cardiac imaging of anatomy and electrocardiology-hand in hand in future steps. Journal of Electrocardiology, 42(2), 103–105. https://doi.org/10.1016/j.jelectrocard.2008.12.017
98Ubachs, J. F. A., Engblom, H., Hedström, E., Selvester, R. H., Knippenberg, S. A. M., Wagner, G. S., Gorgels, A. P. M., & Arheden, H. (2009). Location of myocardium at risk in patients with first-time ST-elevation infarction: comparison among single photon emission computed tomography, magnetic resonance imaging, and electrocardiography. Journal of Electrocardiology, 42(2), 198–203. https://doi.org/10.1016/j.jelectrocard.2008.11.003
97Strauss, D. G., & Selvester, R. H. (2009). The QRS complex-a biomarker that “images” the heart: QRS scores to quantify myocardial scar in the presence of normal and abnormal ventricular conduction. Journal of Electrocardiology, 42(1), 85–96. https://doi.org/10.1016/j.jelectrocard.2008.07.011
96Bacharova, L., Mateasik, A., Carnicky, J., Ubachs, J. F. A., Hedström, E., Arheden, H., & Engblom, H. (2009). The Dipolar ElectroCARdioTOpographic (DECARTO)-like method for graphic presentation of location and extent of area at risk estimated from ST-segment deviations in patients with acute myocardial infarction. Journal of Electrocardiology, 42(2), 172–180. https://doi.org/10.1016/j.jelectrocard.2008.12.005
95Strauss, D. G., Olson, C. W., Wu, K. C., Heiberg, E., Persson, E., Selvester, R. H., Pahlm, O., & Arheden, H. (2009). Vectorcardiogram synthesized from the 12-lead electrocardiogram to image ischemia. Journal of Electrocardiology, 42(2), 190–197. https://doi.org/10.1016/j.jelectrocard.2008.12.018
94Rovers, W. C. M., van Boreen, M. C., Robinson, M., Martin, T. N., Maynard, C., Wagner, G. S., & Gorgels, A. P. M. (2009). Comparison of the correlation of the Selvester QRS scoring system with cardiac contrast-enhanced magnetic resonance imaging-measured acute myocardial infarct size in patients with and without thrombolytic therapy. Journal of Electrocardiology, 42(2), 139–144. https://doi.org/10.1016/j.jelectrocard.2008.12.004
93Galeotti, L., Strauss, D. G., Ubachs, J. F. A., Pahlm, O., & Heiberg, E. (2009). Development of an automated method for display of ischemic myocardium from simulated electrocardiograms. Journal of Electrocardiology, 42(2), 204–212. https://doi.org/10.1016/j.jelectrocard.2008.12.007
92Hakacova, N., Bass, G. D., Olson, C. W., Robinson, A. M. C., & Selvester, R. H. (2009). Simulation of the QRS complex using papillary muscle positions as the site of early activation in human subjects. Journal of Electrocardiology, 42(2), 158–164. https://doi.org/10.1016/j.jelectrocard.2008.12.008
91Dicks, D. L., Carlsson, M., Heiberg, E., Martin, A., Saloner, D., Arheden, H., & Saeed, M. (2009). Persistent decline in longitudinal and radial strain after coronary microembolization detected on velocity encoded phase contrast magnetic resonance imaging. Journal of Magnetic Resonance Imaging, 30(1), 69–76. https://doi.org/10.1002/jmri.21773
90Wu, Y., Chan, C. W., Nicholls, J. M., Liao, S., Tse, H. F., & Wu, E. X. (2009). MR study of the effect of infarct size and location on left ventricular functional and microstructural alterations in porcine models. Journal of Magnetic Resonance Imaging, 29(2), 305–312. https://doi.org/10.1002/jmri.21598
89Wu, Y., & Wu, E. X. (2009). MR study of postnatal development of myocardial structure and left ventricular function. Journal of Magnetic Resonance Imaging, 30(1), 47–53. https://doi.org/10.1002/jmri.21814
88Kazmierczak, K., Xu, Y., Jones, M., Guzman, G., Hernandez, O. M., Kerrick, W. G. L., & Szczesna-Cordary, D. (2009). The Role of the N-Terminus of the Myosin Essential Light Chain in Cardiac Muscle Contraction. Journal of Molecular Biology, 387(3), 706–725. https://doi.org/10.1016/j.jmb.2009.02.006
87Soneson, H., Ubachs, J. F. A., Ugander, M., Arheden, H., & Heiberg, E. (2009). An improved method for automatic segmentation of the left ventricle in myocardial perfusion SPECT. Journal of Nuclear Medicine, 50(2), 205–213. https://doi.org/10.2967/jnumed.108.057323
86Cabrera, A. G., Dyamenahalli, U., Gossett, J., Prodhan, P., Morrow, W. R., Imamura, M., Jaquiss, R. D. B., & Bhutta, A. T. (2009). Preoperative lymphopenia is a predictor of postoperative adverse outcomes in children with congenital heart disease. Journal of Thoracic and Cardiovascular Surgery, 138(5), 1172–1179. https://doi.org/10.1016/j.jtcvs.2009.06.016
85Malmsjö, M., Petzina, R., Ugander, M., Engblom, H., Torbrand, C., Mokhtari, A., Hetzer, R., Arheden, H., & Ingemansson, R. (2009). Preventing heart injury during negative pressure wound therapy in cardiac surgery: Assessment using real-time magnetic resonance imaging. Journal of Thoracic and Cardiovascular Surgery, 138(3), 712–717. https://doi.org/10.1016/j.jtcvs.2008.11.068
84Buckmiller, L., Dyamenahalli, U., & Richter, G. T. (2009). Propranolol for airway hemangiomas: Case report of novel treatment. Laryngoscope, 119(10), 2051–2054. https://doi.org/10.1002/lary.20633
83Carlsson, M., Martin, A. J., Ursell, P. C., Saloner, D., & Saeed, M. (2009). Magnetic resonance imaging quantification of left ventricular dysfunction following coronary microembolization. Magnetic Resonance in Medicine, 61(3), 595–602. https://doi.org/10.1002/mrm.21869
82Kim, H. W., Klem, I., Shah, D. J., Wu, E., Meyers, S. N., Parker, M. A., Crowley, A. L., Bonow, R. O., Judd, R. M., & Kim, R. J. (2009). Unrecognized non-Q-wave myocardial infarction: Prevalence and prognostic significance in patients with suspected coronary disease. PLoS Medicine, 6(4). https://doi.org/10.1371/journal.pmed.1000057
81HajiRassouliha, A., & Ayatollahi, A. (2009). Automatic obtaining of left ventricular area and analyzing the area changes. Proceedings – 2009 International Conference on Digital Image Processing, ICDIP 2009, 95–99. https://doi.org/10.1109/ICDIP.2009.13
80Danti, M., Sbarbati, S., Alsadi, N., Di Filippo, A., Gangitano, G., Giglio, L., Salvini, V., Amoruso, M., Camastra, G. S., Ansalone, G., & Della Sala, S. (2009). Valore diagnostico ed utilità nel follow-up della risonanza magnetica cardiaca nei pazienti con miocardite acuta e sintomi clinici che simulano un infarto acuto del miocardio. Radiologia Medica, 114(2), 229–238. https://doi.org/10.1007/s11547-008-0353-7
79Carlsson, M., Wilson, M., Martin, A., & Saeed, M. (2009). Myocardial microinfarction aF Ter coronary microembolization in swine: MR imaging characterization. Radiology, 250(3), 703–713. https://doi.org/10.1148/radiol.2503081000
78O’Regan, D. P., Ahmed, R., Karunanithy, N., Neuwirth, C., Tan, Y., Durighel, G., Hajnal, J. V., Nadra, I., Corbett, S. J., & Cook, S. A. (2009). Reperfusion hemorrhage following acute myocardial infarction: Assessment with T2*mapping and effect on measuring the area at risk. Radiology, 250(3), 916–922. https://doi.org/10.1148/radiol.2503081154
77Prodhan, P., Fiser, R. T., Dyamenahalli, U., Gossett, J., Imamura, M., Jaquiss, R. D. B., & Bhutta, A. T. (2009). Outcomes after extracorporeal cardiopulmonary resuscitation (ECPR) following refractory pediatric cardiac arrest in the intensive care unit. Resuscitation, 80(10), 1124–1129. https://doi.org/10.1016/j.resuscitation.2009.07.004
76Song, M. S., Hu, A., Dyhamenahali, U., Chitayat, D., Winsor, E. J. T., Ryan, G., Smallhorn, J., Barrett, J., Yoo, S. J., & Hornberger, L. K. (2009). Extracardiac lesions and chromosomal abnormalities associated with major fetal heart defects: Comparison of intrauterine, postnatal and postmortem diagnoses. Ultrasound in Obstetrics and Gynecology, 33(5), 552–559. https://doi.org/10.1002/uog.6309
75Iassonov, P., Gebrenegus, T., & Tuller, M. (2009). Segmentation of X-ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures. Water Resources Research, 45(9), W09415. https://doi.org/10.1029/2009WR008087
74Renner, J., Loyd, D., Länne, T., & Karlsson, M. (2009). Is a flat inlet profile sufficient for WSS estimation in the aortic arch? WSEAS Transactions on Fluid Mechanics, 4(4), 148–160. http://www.wseas.us/e-library/transactions/fluid/2009/32-828.pdf
73Jacquier, A., Revel, D., & Saeed, M. (2008). MDCT of the Myocardium. A New Contribution to Ischemic Heart Disease. Academic Radiology, 15(4), 477–487. https://doi.org/10.1016/j.acra.2007.11.004
72Carlsson, M., & Saeed, M. (2008). Intracoronary Injection of Contrast Media Maps the Territory of the Coronary Artery. An MRI Technique for Assessing the Effects of Locally Delivered Angiogenic Therapies. Academic Radiology, 15(11), 1354–1359. https://doi.org/10.1016/j.acra.2008.09.002
71Carlsson, M., Osman, N. F., Ursell, P. C., Martin, A. J., & Saeed, M. (2008). Quantitative MR measurements of regional and global left ventricular function and strain after intramyocardial transfer of VM202 into infarcted swine myocardium. American Journal of Physiology – Heart and Circulatory Physiology, 295(2), H522-32. https://doi.org/10.1152/ajpheart.00280.2008
70Götberg, M., Olivecrona, G. K., Engblom, H., Ugander, M., van der Pals, J., Heiberg, E., Arheden, H., & Erlinge, D. (2008). Rapid short-duration hypothermia with cold saline and endovascular cooling before reperfusion reduces microvascular obstruction and myocardial infarct size. BMC Cardiovascular Disorders, 8, 7. https://doi.org/10.1186/1471-2261-8-7
69Rosendahl, L., Blomstrand, P., Ohlsson, J. L., Björklund, P. G., Ahlander, B. M., Starck, S. A., & Engvall, J. E. (2008). Late gadolinium uptake demonstrated with magnetic resonance in patients where automated PERFIT analysis of myocardial SPECT suggests irreversible perfusion defect. BMC Medical Imaging, 8, 17. https://doi.org/10.1186/1471-2342-8-17
68Mayumi, E., Nishitani, A., Yuki, Y., Nakatsu, T., Toyonaga, S., Mashima, K., Ogawa, H., Hirohata, S., Usui, S., Shinohata, R., Sakaguchi, K., & Kusachi, S. (2008). Increased blood pressure levels relative to subjective feelings of intensity of exercise determined with the Borg scale in male patients with hypertension. Clinical and Experimental Hypertension, 30(3–4), 191–201. https://doi.org/10.1080/10641960802068436
67Rosendahl, L., Blomstrand, P., Heiberg, E., Ohlsson, J., Björklund, P. G., Ahlander, B. M., & Engvall, J. (2008). Computer-assisted calculation of myocardial infarct size shortens the evaluation time of contrast-enhanced cardiac MRI. Clinical Physiology and Functional Imaging, 28(1), 1–7. https://doi.org/10.1111/j.1475-097X.2007.00765.x
66Furtado, A. D., Carlsson, M., Wintermark, M., Ordovas, K., & Saeed, M. (2008). Identification of residual ischemia, infarction, and microvascular impairment in revascularized myocardial infarction using 64-slice MDCT. Contrast Media and Molecular Imaging, 3(5), 198–206. https://doi.org/10.1002/cmmi.253
65Attenberger, U. I., Sourbron, S. P., Notohamiprodjo, M., Lodemann, K. P., Glaser, C. G., Reiser, M. F., Schoenberg, S. O., & Michaely, H. J. (2008). MR-based semi-automated quantification of renal functional parameters with a two-compartment model-An interobserver analysis. European Journal of Radiology, 65(1), 59–65. https://doi.org/10.1016/j.ejrad.2007.10.005
64Dawoud, F., Wagner, G. S., Moody, G., & Horáček, B. M. (2008). Using inverse electrocardiography to image myocardial infarction-reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge. Journal of Electrocardiology, 41(6), 630–635. https://doi.org/10.1016/j.jelectrocard.2008.07.022
63Hakacova, N., Robinson, A. M. C., Olson, C. W., Selvester, R. H., & Wagner, G. S. (2008). The relationship between mitral papillary muscles positions and characteristics of the QRS complex. Journal of Electrocardiology, 41(6), 487–490. https://doi.org/10.1016/j.jelectrocard.2008.07.025
62Carlsson, M., Arheden, H., Higgins, C. B., & Saeed, M. (2008). Magnetic resonance imaging as a potential gold standard for infarct quantification. Journal of Electrocardiology, 41(6), 614–620. https://doi.org/10.1016/j.jelectrocard.2008.06.010
61Chow, T. Y., Cheung, J. S., Wu, Y., Guo, H., Chan, K. C., Hui, E. S., & Wu, E. X. (2008). Measurement of common carotid artery lumen dynamics during the cardiac cycle using magnetic resonance TrueFISP cine imaging. Journal of Magnetic Resonance Imaging, 28(6), 1527–1532. https://doi.org/10.1002/jmri.21527
60Haraldsson, H., Wigström, L., Lundberg, M., Bolger, A. F., Engvall, J., Ebbers, T., & Kvitting, J. P. E. (2008). Improved estimation and visualization of two-dimensional myocardial strain rate using MR velocity mapping. Journal of Magnetic Resonance Imaging, 28(3), 604–611. https://doi.org/10.1002/jmri.21471
59Petzina, R., Ugander, M., Gustafsson, L., Engblom, H., Hetzer, R., Arheden, H., Ingemansson, R., & Malmsjö, M. (2008). Topical negative pressure therapy of a sternotomy wound increases sternal fluid content but does not affect internal thoracic artery blood flow: Assessment using magnetic resonance imaging. Journal of Thoracic and Cardiovascular Surgery, 135(5), 1007–1013. https://doi.org/10.1016/j.jtcvs.2007.09.070
58Ciofolo, C., & Fradkin, M. (2008). Segmentation of pathologic hearts in long-axis late-enhancement MRI. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5241 LNCS(PART 1), 186–193. https://doi.org/10.1007/978-3-540-85988-8_23
57Golman, K., Petersson, J. S., Magnusson, P., Johansson, E., Åkeson, P., Chai, C. M., Hansson, G., & Månsson, S. (2008). Cardiac metabolism measured noninvasively by hyperpolarized 13C MRI. Magnetic Resonance in Medicine, 59(5), 1005–1013. https://doi.org/10.1002/mrm.21460
56Heiberg, E., Ugander, M., Engblom, H., Götberg, M., Olivecrona, G. K., Erlinge, D., & Arheden, H. (2008). Automated quantification of myocardial infarction from MR images by accounting for partial volume effects: Animal, phantom, and human study. Radiology, 246(2), 581–588. https://doi.org/10.1148/radiol.2461062164
55Saeed, M., Martin, A., Ursell, P., Do, L., Bucknor, M., Higgins, C. B., & Saloner, D. (2008). MR assessment of myocardial perfusion, viability, and function after intramyocardial transfer of VM202, a new plasmid human hepatocyte growth factor in ischemic swine myocardium. Radiology, 249(1), 107–118. https://doi.org/10.1148/radiol.2483071579
54Ugander, M., Ekmehag, B., & Arheden, H. (2008). The relationship between left ventricular ejection fraction and infarct size assessed by MRI. Scandinavian Cardiovascular Journal, 42(2), 137–145. https://doi.org/10.1080/14017430701840317
53Hoashi, T., Matsumiya, G., Sakata, Y., Kogaki, S., & Sawa, Y. (2008). A novel system of assessing myocardial recovery during left ventricular support: Report of a case. Surgery Today, 38(2), 154–156. https://doi.org/10.1007/s00595-007-3596-3
52Carlsson, M., Ugander, M., Mosén, H., Buhre, T., & Arheden, H. (2007). Atrioventricular plane displacement is the major contributor to left ventricular pumping in healthy adults, athletes, and patients with dilated cardiomyopathy. American Journal of Physiology – Heart and Circulatory Physiology, 292(3), H1452-9. https://doi.org/10.1152/ajpheart.01148.2006
51Carlsson, M., Ugander, M., Heiberg, E., & Arheden, H. (2007). The quantitative relationship between longitudinal and radial function in left, right, and total heart pumping in humans. American Journal of Physiology – Heart and Circulatory Physiology, 293(1), H636-44. https://doi.org/10.1152/ajpheart.01376.2006
50Banerjee, I., Fuseler, J. W., Price, R. L., Borg, T. K., & Baudino, T. A. (2007). Determination of cell types and numbers during cardiac development in the neonatal and adult rat and mouse. American Journal of Physiology – Heart and Circulatory Physiology, 293(3), H1883-91. https://doi.org/10.1152/ajpheart.00514.2007
49Imamura, M., Dyamenahalli, U., Sachdeva, R., Kokoska, E. R., & Jaquiss, R. D. B. (2007). Hypoplastic Left Heart Syndrome, Interrupted Inferior Vena Cava, Biliary Atresia. Annals of Thoracic Surgery, 84(5), 1746–1748. https://doi.org/10.1016/j.athoracsur.2007.05.068
48McKamie, W. A., Schmitz, M. L., Johnson, C. E., Ray, T., Sanford, G. B., Dyamenahalli, U., & Imamura, M. (2007). Superior Vena Cava Perforation in a Child from a Lawnmower Projectile. Clinical Pediatrics, 46(9), 847–849. https://doi.org/10.1177/0009922807303927
47Engblom, H., Carlsson, M. B., Hedström, E., Heiberg, E., Ugander, M., Wagner, G. S., & Arheden, H. (2007). The endocardial extent of reperfused first-time myocardial infarction is more predictive of pathologic Q waves than is infarct transmurality: A magnetic resonance imaging study. Clinical Physiology and Functional Imaging, 27(2), 101–108. https://doi.org/10.1111/j.1475-097X.2007.00723.x
46Heiberg, E., Engblom, H., Ugander, M., & Arheden, H. (2007). Automated calculation of infarct transmurality. In Computers in Cardiology (Vol. 34, pp. 165–168). https://doi.org/10.1109/CIC.2007.4745447
45Dyamenahalli, U., Abraham, B., Fontenot, E., Prasad, V., & Imamura, M. (2007). Pathologic aneurysmal dilation of the ascending aorta and dilation of the main pulmonary artery in patients with Kabuki syndrome: Valve-sparing aortic root replacement. Congenital Heart Disease, 2(6), 424–428. https://doi.org/10.1111/j.1747-0803.2007.00136.x
44Camastra, G. S., Cacciotti, L., Marconi, F., Sbarbati, S., Pironi, B., & Ansalone, G. (2007). Late enhancement detected by cardiac magnetic resonance imaging in acute myocarditis mimicking acute myocardial infarction: Location patterns and lack of correlation with systolic function. Journal of Cardiovascular Medicine, 8(12), 1029–1033. https://doi.org/10.2459/JCM.0b013e3281053a83
43Kosman, J., Carmean, N., Leaf, E. M., Dyamenahalli, K., & Bassuk, J. A. (2007). Translocation of fibroblast growth factor-10 and its receptor into nuclei of human urothelial cells. Journal of Cellular Biochemistry, 102(3), 769–785. https://doi.org/10.1002/jcb.21330
42Engblom, H., Arheden, H., Foster, J. E., & Martin, T. N. (2007). Myocardial infarct quantification: Is magnetic resonance imaging ready to serve as a gold standard for electrocardiography? Journal of Electrocardiology, 40(3), 243–245. https://doi.org/10.1016/j.jelectrocard.2007.02.009
41Sigfridsson, A., Kvitting, J. P. E., Knutsson, H., & Wigström, L. (2007). Five-dimensional MRI incorporating simultaneous resolution of cardiac and respiratory phases for volumetric imaging. Journal of Magnetic Resonance Imaging, 25(1), 113–121. https://doi.org/10.1002/jmri.20820
40Kosman, J., Carmean, N., Leaf, E. M., Dyamenahalli, K., & Bassuk, J. A. (2007). The Motif of SPARC that Inhibits DNA Synthesis Is not a Nuclear Localization Signal. Journal of Molecular Biology, 371(4), 883–901. https://doi.org/10.1016/j.jmb.2007.04.088
39Petzina, R., Ugander, M., Gustafsson, L., Engblom, H., Sjögren, J., Hetzer, R., Ingemansson, R., Arheden, H., & Malmsjö, M. (2007). Hemodynamic effects of vacuum-assisted closure therapy in cardiac surgery: Assessment using magnetic resonance imaging. Journal of Thoracic and Cardiovascular Surgery, 133(5), 1154–1162. https://doi.org/10.1016/j.jtcvs.2007.01.011
38Wu, E. X., Wu, Y., Nicholls, J. M., Wang, J., Liao, S., Zhu, S., Lau, C. P., & Tse, H. F. (2007). MR diffusion tensor imaging study of postinfarct myocardium structural remodeling in a porcine model. Magnetic Resonance in Medicine, 58(4), 687–695. https://doi.org/10.1002/mrm.21350
37Gilson, W. D., & Kraitchman, D. L. (2007). Cardiac magnetic resonance imaging in small rodents using clinical 1.5 T and 3.0 T scanners. Methods, 43(1), 35–45. https://doi.org/10.1016/j.ymeth.2007.03.012
36Hedström, E., Åström-Olsson, K., Öhlin, H., Frogner, F., Carlsson, M., Billgren, T., Jovinge, S., Cain, P., Wagner, G. S., & Arheden, H. (2007). Peak CKMB and cTnT accurately estimates myocardial infarct size after reperfusion. Scandinavian Cardiovascular Journal, 41(1), 44–50. https://doi.org/10.1080/14017430601071849
35Stempien-Otero, A., Plawman, A., Meznarich, J., Dyamenahalli, T., Otsuka, G., & Dichek, D. A. (2006). Mechanisms of cardiac fibrosis induced by urokinase plasminogen activator. Journal of Biological Chemistry, 281(22), 15345–15351. https://doi.org/10.1074/jbc.M512818200
34Svensson, J., Gårdhagen, R., Heiberg, B., Ebbers, T., Loyd, D., Länne, T., & Karlsson, M. (2006). Feasibility of patient specific aortic blood flow CFD simulation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4190 LNCS, 257–263. https://doi.org/10.1007/11866565_32
33Stewart, A., Dyamenahalli, U., Greenberg, S. B., & Drummond-Webb, J. (2006). Ductus arteriosus aneurysm with community-acquired methicillin-resistant Staphylococcus aureus infection and spontaneous rupture: A potentially fatal quandary. Pediatrics, 117(6), e1259-62. https://doi.org/10.1542/peds.2005-0897
32Engblom, H., Hedström, E., Heiberg, E., Wagner, G. S., Pahlm, O., & Arheden, H. (2005). Size and transmural extent of first-time reperfused myocardial infarction assessed by cardiac magnetic resonance can be estimated by 12-lead electrocardiogram. American Heart Journal, 150(5), 920.e1-920.e9. https://doi.org/10.1016/j.ahj.2005.07.022
31Cain, P. A., Ugander, M., Palmer, J., Carlsson, M., Heiberg, E., & Arheden, H. (2005). Quantitative polar representation of left ventricular myocardial perfusion, function and viability using SPECT and cardiac magnetic resonance: Initial results. Clinical Physiology and Functional Imaging, 25(4), 215–222. https://doi.org/10.1111/j.1475-097X.2005.00618.x
30Edvardsen, T., & Rosen, B. D. (2005). Why do we need magnetic resonance imaging in cardiology? Scandinavian Cardiovascular Journal, 39(5), 260–263. https://doi.org/10.1080/14017430500405015
29Heiberg, E., Engblom, H., Engvall, J., Hedström, E., Ugander, M., & Arheden, H. (2005). Semi-automatic quantification of myocardial infarction from delayed contrast enhanced magnetic resonance imaging. Scandinavian Cardiovascular Journal, 39(5), 267–275. https://doi.org/10.1080/14017430500340543
28Sadek, H., Wang, P., Ahmed, M., Uyen, N., Nguyen, N., Menendez-Montes, I., Farag, A., Thet, U. S., Hsu, C.-C., Elhelaly, W., Lam, N., Wansapura, J., Ma, U. N., Zhou, S., Zhang, S. T., Singh, R., Sadayappan, S., & Wu, J. (2023). Structural and Phenotypic Correction of K210del Genetic Cardiomyopathy by an FDA Approved Drug. Research Square, 1–21. https://doi.org/10.21203/rs.3.rs-2331399/v1 License:
27Tournoux, F., Hodzic, A., Pellissier, A., & Saloux, E. (2023). A Dynamic Phantom Model for Research and Quality Control in Cardiac Imaging. Research Square, 1–7. https://www.researchsquare.com/article/rs-3417055/latest
26Endo, K., Fukushima, K., & Katahira, M. (2024). Intra-Ventricular Diastolic Hemodynamics under Pharmacological Stress in Patients with Ischemic Heart Disease : Analysis of 4D-Flow and Myocardial Flow Reserve using hybrid 13 N-ammonia Positron Emission Tomography / Magnetic Resonance. MedRxiv.
25Casas, B., Tunedal, K., Viola, F., Cedersund, G., Carlhäll, C.-J., Karlsson, M., & Ebbers, T. (2024). Reproducibility of 4D Flow MRI-based Personalized Cardiovascular Models; Inter-sequence, Intra-observer, and Inter-observer variability. BioRxiv. https://doi.org/10.1101/2024.06.13.597551
24Srabanti, M. G., Adams, C., Kadem, L., & Garcia, J. (2024). Role of Non-Invasive Hemodynamic Forces through Four-Dimensional-Flow Magnetic Resonance Imaging ( 4D-Flow MRI ) in Evaluating Mitral Regurgitation with Preserved Ejection Fraction : Seeking Novel Biomarkers. Applied Sciences (Switzerland), 14. https://doi.org/https:// doi.org/10.3390/app14198577
23Heiberg, E., Wigström, L., Carlsson, M., Bolger, A. F., & Karlsson, M. (2005). Time resolved three-dimensional automated segmentation of the left ventricle. Computers in Cardiology, 32, 599–602. https://doi.org/10.1109/CIC.2005.1588172
22Sun, Y., Huang, J., Lu, Q., Yue, X., & Huang, X. (2024). Modeling fibrous tissue in vascular fluid-structure interaction : a morphology-based pipeline and biomechanical significance. Arxiv, 1–31. https://doi.org/https://doi.org/10.48550/arXiv.2406.07064
21Yeganeh, M., Rezvani, M. H., & Laribaghal, S. M. (2024). No differences in native T1 of the renal cortex between Fabry disease patients and healthy subjects in cardiac dedicated native T1 maps. Journal of Cardiovascular Magnetic Resonance. https://doi.org/10.1016/j.jocmr.2024.101104
20Macias, A., González-Guerra, A., Moreno-Manuel, A. I., Cruz, F. M., García-Quintáns, N., Gutiérrez, L. K., Roche-Molina, M., Bermúdez-Jiménez, F. J., Andrés, V., Vera-Pedrosa, M. L., Martínez-Carrascoso, I., Bernal, J. A., & Jalife, J. (2021). Abstract P356: Dual Dysfunction Of Kir2.1 Underlies Conduction And Excitation-contraction Coupling Defects Promoting Arrhythmias In A Mouse Model Of Andersen-tawil Syndrome Type 1. Circulation Research, 129(Suppl_1). https://doi.org/10.1161/res.129.suppl_1.p356
19Kramer, L. A., Hasan, K. M., Zhang, X., Mulder, E., & Gerlach, D. A. (2024). Artificial Gravity: An Effective Countermeasure for Microgravity-Induced Headward Fluid Shift? Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.00441.2024
18Myklebust, L., Maleckar, M. M., & Arevalo, H. (2024). Fibrosis modeling choice affects morphology of ventricular arrhythmia in non-ischemic cardiomyopathy. Frontiers in Physiology, 15(March), 1–19. https://doi.org/10.3389/fphys.2024.1370795
17Wei, Z. A., Ratnayaka, K., Si, B., Singh-Gryzbon, S., Cetatoiu, M. A., Fogel, M. A., Slesnick, T., Yoganathan, A. P., & Nigro, J. J. (2021). An Anterior Anastomosis for the Modified Fontan Connection: A Hemodynamic Analysis. Seminars in Thoracic and Cardiovascular Surgery, 33(3), 816–823. https://doi.org/10.1053/j.semtcvs.2021.01.056
16Zhao, Y., Ding, Y., Lau, V., Man, C., Su, S., Xiao, L., Leong, A. T. L., & Wu, E. X. (2024). Whole-body magnetic resonance imaging at 0.05 Tesla. Science, 384(6696), eadm7168. https://doi.org/10.1126/science.adm7168
15Kikuchi, Y., Onohara, D., Silverman, M., Guyton, R. A., & Padala, M. (2024). Mitral regurgitation increases systolic strains in remote zone and worsens left ventricular dyssynchrony in a swine model of ischemic cardiomyopathy. Frontiers in Cardiovascular Medicine, May, 1–13. https://doi.org/10.3389/fcvm.2024.1397079
14Sjöberg, P., Hedström, E., Fricke, K., Frieberg, P., Weismann, C. G., Liuba, P., Carlsson, M., & Töger, J. (2023). Comparison of 2D and 4D Flow MRI in Neonates Without General Anesthesia. Journal of Magnetic Resonance Imaging, 57(1), 71–82. https://doi.org/10.1002/jmri.28303
13Töger, J., Arvidsson, P. M., Bock, J., Kanski, M., Pedrizzetti, G., Carlsson, M., Arheden, H., & Heiberg, E. (2018). Hemodynamic forces in the left and right ventricles of the human heart using 4D flow magnetic resonance imaging: Phantom validation, reproducibility, sensitivity to respiratory gating and free analysis software. PLoS ONE, 13(4), 1–22. https://doi.org/10.1371/journal.pone.0195597
12Arvidsson, P. M., Töger, J., Pedrizzetti, G., Heiberg, E., Borgquist, R., Carlsson, M., & Arheden, H. (2018). Hemodynamic forces using four-dimensional flow MRI: An independent biomarker of cardiac function in heart failure with left ventricular dyssynchrony? American Journal of Physiology – Heart and Circulatory Physiology, 315(6), H1627–H1639. https://doi.org/10.1152/ajpheart.00112.2018
11Bock, J., Töger, J., Bidhult, S., Markenroth Bloch, K., Arvidsson, P., Kanski, M., Arheden, H., Testud, F., Greiser, A., Heiberg, E., & Carlsson, M. (2019). Validation and reproducibility of cardiovascular 4D-flow MRI from two vendors using 2 × 2 parallel imaging acceleration in pulsatile flow phantom and in vivo with and without respiratory gating. Acta Radiologica, 60(3), 327–337. https://doi.org/10.1177/0284185118784981
10Sjöberg, P., Bidhult, S., Bock, J., Heiberg, E., Arheden, H., Gustafsson, R., Nozohoor, S., & Carlsson, M. (2018). Disturbed left and right ventricular kinetic energy in patients with repaired tetralogy of Fallot: pathophysiological insights using 4D-flow MRI. European Radiology, 28(10), 4066–4076. https://doi.org/10.1007/s00330-018-5385-3
9Sjöberg, P., Ostenfeld, E., Hedström, E., Arheden, H., Gustafsson, R., Nozohoor, S., & Carlsson, M. (2020). Changes in left and right ventricular longitudinal function after pulmonary valve replacement in patients with Tetralogy of Fallot. American Journal of Physiology. Heart and Circulatory Physiology, 318(2), H345–H353. https://doi.org/10.1152/ajpheart.00417.2019
8Sjöberg, P., Heiberg, E., Wingren, P., Ramgren Johansson, J., Malm, T., Arheden, H., Liuba, P., & Carlsson, M. (2017). Decreased Diastolic Ventricular Kinetic Energy in Young Patients with Fontan Circulation Demonstrated by Four-Dimensional Cardiac Magnetic Resonance Imaging. Pediatric Cardiology, 38(4), 669–680. https://doi.org/10.1007/s00246-016-1565-6
7Bidhult, S., Töger, J., Heiberg, E., Carlsson, M., Arheden, H., Aletras, A. H., & Hedström, E. (2019). Independent validation of metric optimized gating for fetal cardiovascular phase-contrast flow imaging. Magnetic Resonance in Medicine, 81(1), 495–503. https://doi.org/10.1002/mrm.27392
6Sjöberg, P., Liuba, P., Arheden, H., Heiberg, E., & Carlsson, M. (2022). Non-invasive quantification of pressure–volume loops in patients with Fontan circulation. BMC Cardiovascular Disorders, 22(1), 1–9. https://doi.org/10.1186/s12872-022-02686-7
5Pola, K., Bergström, E., Töger, J., Rådegran, G., Arvidsson, P. M., Carlsson, M., Arheden, H., & Ostenfeld, E. (2022). Increased biventricular hemodynamic forces in precapillary pulmonary hypertension. Scientific Reports, 12(1), 1–13. https://doi.org/10.1038/s41598-022-24267-6
4Berkowicz, P., Totoń-Żurańska, J., Kwiatkowski, G., Jasztal, A., Csípő, T., Kus, K., Tyrankiewicz, U., Orzyłowska, A., Wołkow Pawełand Tóth, A., Chlopicki, S., Wołkow, P., Tóth, A., & Chlopicki, S. (2023). Accelerated ageing and coronary microvascular dysfunction in chronic heart failure in Tgαq*44 mice. GeroScience, 0123456789. https://doi.org/10.1007/s11357-022-00716-y
3Jóhannesson, G., Qvarlander, S., Wåhlin, A., Ambarki, K., Hallberg, P., Eklund, A., & Lindén, C. (2020). Flow Rate of Ophthalmic Artery in Ocular Hypertension. Multidisciplinary Ophthalmic Imaging, Cdi, 3–5.
2Bailey, K. E., MacGowan, G. A., Tual-Chalot, S., Phillips, L., Mohun, T. J., Henderson, D. J., Arthur, H. M., Bamforth, S. D., & Phillips, H. M. (2019). Disruption of embryonic ROCK signaling reproduces the sarcomeric phenotype of hypertrophic cardiomyopathy. JCI Insight, 4(8), 1–23. https://doi.org/10.1172/jci.insight.125172
1Xanthis, C. G., Jablonowski, R., Bidhult-Johansson, S., Nordlund, D., Haidich, A.-B., Lala, T., Arheden, H., & Aletras, A. H. (2022). Unravelling the mechanisms of CE-SSFP in imaging myocardium at risk: The effect of relaxation times on myocardial contrast. International Journal of Biological Macromolecules, 2(2), 33–47. https://doi.org/10.1016/j.mri.2024.03.043