Strain Analysis Module
Cardiac strain analysis solution with high reproducibilty
Only clinical software on the market for cardiac strain analysis including both feature tracking and tagging analysis in one package that are CE-marked and has FDA 510(k) clearance.
Optimised clinical workflow with a wide research flexibility and batch export options included in the module.
Strain analysis is applicable to Cardiac CT and Cardiac MR images, and available for LV/RV/LA/RA, and for both short-axis and long-axis images.
Benefits
- Global and segmental strain in longitudinal, radial, and circumferential directions facilitates a thorough understanding of cardiac contraction dynamics.
- Strain measurements provide detailed strain results for peak strain, strain graphs over time, and 17-segment bullseye, to give you comprehensive insight.
- Strain rate delivers dynamic information on the speed of myocardial contraction and relaxation, enhancing the characterisation of cardiac performance.
- Efficient and streamlined analysis is ensured by AI-powered, automated segmentation of LV & RV, guaranteeing accuracy and repeatable measurements.
- Bears the CE–mark of conformity and has FDA 510(k) clearance
The Strain analysis module is integrated in Segment CMR for a clinical solution, and Segment and Segment CT Research for a research solution.
Key features
- LV, RV, LA and RA strain analysis
- Short-axis and long-axis strain analysis
- Feature tracking in cine and Tagging analysis in tagged images
- Strain over time and peak strain
- Strain presented in 17-segment bullseye plot
- Strain rate, rotation and torsion
- Radial, circumferential and longitudinal strain reported globally and sector wise
- Export functionality for movies, images and strain values
- Automatic cardiac LV / RV segmentation tools
The module has been developed in close collaboration with researchers at Cardiovascular Imaging and Dynamics, Dept. of Cardiovascular Sciences at KU Leuven in Belgium, and researchers at the Life and Health Sciences Research Institute at the University of Minho.