Here you find description of how to proper refer to Segment in your publications

Validation is the key for getting robust and trustworthy measurements. Close collaboration with the top researchers in the field makes our analysis methods continually updated and state of the art.

Proper referencing of Segment when publishing scientific results is a prerequisite for using Segment. This is vital. We are dependent on proper citations in order to continue to release the software freely available for researchers.

Please send full bibliographic information (such as Pubmed link) of your final work when published or accepted for publication to Please see the list of researchers who has already remembered to give us credit by a proper citation.

How to refer to Segment

A reference should encompass both the name Segment, and a suitable publication. When in doubt, please send an email to or put reference [1] which is the generic reference for image analysis in Segment. This open-access paper describes Segment and its potential uses. 

Examples of possible formulations for references:

  • All image analysis was done using the freely available software Segment version 3.0 RXXXX ( [1].
  • Global LV function was quantified using Segment v3.0 RXXXX ( [1].
  • Infarct size was quantified using Segment v3.0 RXXXX ( [4].

Note that referencing the software is manditory also for abstracts to scientific conferences. If shortage of space, at least reference the software as something like:
Images was analysed using the freely available software Segment (

In extreme shortage of space, such as conferences where the word limit is less than 350 words then reference may be omitted in the abstract text, but should be included in the oral presentation and / or poster.


Infarct quantification

The current algorithm for infarct quantification is EWA and should be referenced as [5]. The old weighted version should be referenced as [6]. Measurement of endocardial extent should be referenced to as [7]. Gray zone analysis should be referenced as gray zone analysis using weighted method using either [5] or [6] as reference. If the ROI based gray zone algorithm is used then the algorithm should be referred to as [8].

[5] H. Engblom, J. Tufvesson, R. Jablonowski, M. Carlsson, A. H. Aletras, P. Hoffmann, A. Jacquier, F. Kober, B. Metzler, D. Erlinge, D. Atar, H. Arheden, and E. Heiberg, 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, J Cardiovasc Magn Reson 18(1) p 27, 2016.

[6] E. Heiberg, M. Ugander, H. Engblom, M. Götberg, G. K. Olivecrona, D. Erlinge, and H. Arheden, Automated quantification of myocardial infarction from MR images by accounting for partial volume effects: animal, phantom, and human study, Radiology 246(2) pp. 581-8, 2008.

[7] H. Engblom, M. B. Carlsson, E. Hedstrom, E. Heiberg, M. Ugander, G. S. Wagner, and H. Arheden, 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, Clin Physiol Funct Imaging 27(2) pp. 101-8, 2007.

[8] Wu KC, Gerstenblith G, Guallar E, Marine JE, Dalal D, Cheng A, Marbán E, Lima JAC, Tomaselli GF, Weiss RG. Combined cardiac MRI and C-reactive protein levels identify a cohort at low risk for defibrillator firings and death. Circ Cardiovasc Imaging 2012; 5:178-86. PMCID:PMC3330427

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