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Full-Text Articles in Engineering
Comparison Of Left Ventricular Strains And Torsion Derived From Feature Tracking And Dense Cmr, Gregory J. Wehner, Linyuan Jing, Christopher M. Haggerty, Jonathan D. Suever, Jing Chen, Sean M. Hamlet, Jared A. Feindt, Walter Dimitri Mojsejenko, Mark A. Fogel, Brandon K. Fornwalt
Comparison Of Left Ventricular Strains And Torsion Derived From Feature Tracking And Dense Cmr, Gregory J. Wehner, Linyuan Jing, Christopher M. Haggerty, Jonathan D. Suever, Jing Chen, Sean M. Hamlet, Jared A. Feindt, Walter Dimitri Mojsejenko, Mark A. Fogel, Brandon K. Fornwalt
Biomedical Engineering Faculty Publications
Background: Cardiovascular magnetic resonance (CMR) feature tracking is increasingly used to quantify cardiac mechanics from cine CMR imaging, although validation against reference standard techniques has been limited. Furthermore, studies have suggested that commonly-derived metrics, such as peak global strain (reported in 63% of feature tracking studies), can be quantified using contours from just two frames – end-diastole (ED) and end-systole (ES) – without requiring tracking software. We hypothesized that mechanics derived from feature tracking would not agree with those derived from a reference standard (displacement-encoding with stimulated echoes (DENSE) imaging), and that peak strain from feature tracking would agree with …