Abstract #3156

Four Chamber Endocardial Surface Reconstruction from Cardiac MRI Data

Xiaoxia Zhang^1,2, Steven Lloyd^3,4, Himanshu Gupta^3,4, James Davies³, Nouha Salibi^1,5, Louis Dell’Italia^3,4, and Thomas Denney^1,2

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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