Abstract: A series of rt-3DE images of the mitral valve are quantitatively analyzed so as to enable, for example, prediction of the degree of recurrent ischemic mitral regurgitation (IMR) and comprehensive assessments of leaflet tethering and “tenting” for the entire mitral valve. In accordance with the method, first, the rt-3DE images are registered with symmetric diffeomorphism to obtain information about how the mitral valve deforms over time. Second, the mitral valve is segmented with the level sets or other known segmentation method at each time point in the cardiac cycle with minimal user interaction. Third, the information about mitral valve structure is reduced into a 3D medial model, a compact representation of shape. In other words, a volumetric segmentation of the mitral valve is condensed to a form that is amenable to clinically relevant morphometry.

Abstract: A series of rt-3DE images of the mitral valve are quantitatively analyzed so as to enable, for example, prediction of the degree of recurrent ischemic mitral regurgitation (IMR) and comprehensive assessments of leaflet tethering and “tenting” for the entire mitral valve. In accordance with the method, first, the rt-3DE images are registered with symmetric diffeomorphism to obtain information about how the mitral valve deforms over time. Second, the mitral valve is segmented with the level sets or other known segmentation method at each time point in the cardiac cycle with minimal user interaction. Third, the information about mitral valve structure is reduced into a 3D medial model, a compact representation of shape. In other words, a volumetric segmentation of the mitral valve is condensed to a form that is amenable to clinically relevant morphometry.