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.
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Gao, H., Griffith, B.E., Carrick, D., McComb, C., Berry, C., Luo, X. (2013). Initial Experience with a Dynamic Imaging-Derived Immersed Boundary Model of Human Left Ventricle. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_2
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DOI: https://doi.org/10.1007/978-3-642-38899-6_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38898-9
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