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Abstract #4766

An MRI based High-Resolution Geometrical Framework to Quantify Left Ventricular Remodeling in Murine Model of Myocardial Infarction

Siamak Ardekani1, Geoffrey Gunter1, Jiadi Xu1, Robert G Weiss2, and Laurent Younes1

1Johns Hopkins University, Baltimore, MD, United States, 2Johns Hopkins Medical Institutions, Baltimore, MD, United States

Computational models of left ventricular (LV) geometry and function that characterize regional cardiac response to injury can provide valuable diagnostic and predictive information. We have developed a mathematical tool to non-rigidly match a high-resolution surface mesh of the LV geometry to a set of LV epi and endocardial contours that are extracted from cardiac MR. We have applied our algorithm on murine model of myocardial infarction to quantify cardiac remodeling process. This approach enables us to perform statistical analysis of LV 3D geometry and function using only sparse sets of 2D plane contours, therefore facilitating cross-subject examination of shape variation.

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