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Abstract #3156

Four Chamber Endocardial Surface Reconstruction from Cardiac MRI Data

Xiaoxia Zhang1,2, Steven Lloyd3,4, Himanshu Gupta3,4, James Davies3, Nouha Salibi1,5, Louis Dell’Italia3,4, and Thomas Denney1,2

1Auburn University MRI Research Center, Auburn University, Auburn, AL, United States, 2Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 3Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, United States, 4Birmingham Veterans Affairs Medical Center, Birmingham, AL, United States, 5MR R&D, Siemens Healthcare, Malvern, PA, United States

Shape analysis of cardiac chambers has important implications for cardiac diseases, most extensively studied in mitral regurgitation (MR). Here we present a novel algorithm for fitting surfaces to the endocardium of all four chambers through the entire cardiac cycle and demonstrate its use in patients with MR. This algorithm, which is based on standard CMR acquisitions, demonstrates improved visualization of the chambers and their function, which can help cardiologists and surgeons in treatment planning in conditions such as mitral regurgitation.

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