Initial experience with a dynamic imaging-derived immersed boundary model of human left ventricle

Authors:
Hao Gao;Boyce E. Griffith;David Carrick;Christie McComb;Colin Berry;Xiaoyu Luo
Affiliations:
School of Mathematics and Statistics, University of Glasgow, UK;Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine;Institute of Cardiovascular and Medical Science, University of Glasgow, UK;Institute of Cardiovascular and Medical Science, University of Glasgow, UK;Institute of Cardiovascular and Medical Science, University of Glasgow, UK;School of Mathematics and Statistics, University of Glasgow, UK
Venue:
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Year:
2013

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Shared-Memory Parallel Vector Implementation of the Immersed Boundary Method for the Computation of Blood Flow in the Beating Mammalian Heart

The Journal of Supercomputing - Special issue on supercomputing in medicine

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Abstract

Understanding the myocardial biomechanics of the left ventricle (LV) in health and disease is important for improving patient risk stratification and management. Computational models of the heart are able to provide insights into the mechanics of heart function. In this study, we develop a dynamic human LV model using an immersed boundary (IB) method along with a finite element description of myocardial mechanics. Our results show that this computational model is able to simulate LV dynamics from end-diastole to end-systole, and that the model results are in reasonably good agreement with noninvasive in vivo strain measurements obtained by magnetic resonance (MR) imaging.