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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Cardiology

University of Kentucky

2014

Disease Models

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Full-Text Articles in Medicine and Health Sciences

Simplified Post Processing Of Cine Dense Cardiovascular Magnetic Resonance For Quantification Of Cardiac Mechanics, Jonathan D. Suever, Gregory J. Wehner, Christopher M. Haggerty, Linyuan Jing, Sean M. Hamlet, Cassi M. Binkley, Sage P. Kramer, Andrea C. Mattingly, David K. Powell, Kenneth C. Bilchick, Frederick H. Epstein, Brandon K. Fornwalt Nov 2014

Simplified Post Processing Of Cine Dense Cardiovascular Magnetic Resonance For Quantification Of Cardiac Mechanics, Jonathan D. Suever, Gregory J. Wehner, Christopher M. Haggerty, Linyuan Jing, Sean M. Hamlet, Cassi M. Binkley, Sage P. Kramer, Andrea C. Mattingly, David K. Powell, Kenneth C. Bilchick, Frederick H. Epstein, Brandon K. Fornwalt

Saha Cardiovascular Research Center Faculty Publications

BACKGROUND: Cardiovascular magnetic resonance using displacement encoding with stimulated echoes (DENSE) is capable of assessing advanced measures of cardiac mechanics such as strain and torsion. A potential hurdle to widespread clinical adoption of DENSE is the time required to manually segment the myocardium during post-processing of the images. To overcome this hurdle, we proposed a radical approach in which only three contours per image slice are required for post-processing (instead of the typical 30-40 contours per image slice). We hypothesized that peak left ventricular circumferential, longitudinal and radial strains and torsion could be accurately quantified using this simplified analysis.

METHODS …