Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.
ABSTRACT The objective of this article is to present a set of methods for constructing realistic computational models of cardiac structure from high-resolution structural and diffusion tensor magnetic resonance images and to demonstrate the applicability of the models in simulation studies. The structural image is segmented to identify various regions such as normal myocardium, ventricles, and infarct. A finite element mesh is generated from the processed structural data, and fiber orientations are assigned to the elements. The Purkinje system, when visible, is modeled using linear elements that interconnect a set of manually identified points. The methods were applied to construct 2 different models; and 2 simulation studies, which demonstrate the applicability of the models in the analysis of arrhythmia and defibrillation, were performed. The models represent cardiac structure with unprecedented detail for simulation studies.
Article: Reintegration of an endocardial Purkinje system into an anatomically realistic 3D rabbit ventricular geometry05/2010;
Article: Sudden cardiac death prediction and prevention: report from a National Heart, Lung, and Blood Institute and Heart Rhythm Society Workshop.Circulation 11/2010; 122(22):2335-48. · 14.74 Impact Factor
Conference Proceeding: A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation.Functional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, New York City, NY, USA, May 25-27, 2011. Proceedings; 01/2011