Gao, H. , Feng, L., Qi, N., Berry, C. , Griffith, B. E. and Luo, X. (2017) A coupled mitral valve - left ventricle model with fluid-structure interaction. Medical Engineering and Physics, 47, pp. 128-136. (doi: 10.1016/j.medengphy.2017.06.042) (PMID:28751011) (PMCID:PMC6779302)
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Abstract
Understanding the interaction between the valves and walls of the heart is important in assessing and subsequently treating heart dysfunction. This study presents an integrated model of the mitral valve (MV) coupled to the left ventricle (LV), with the geometry derived from in vivo clinical magnetic resonance images. Numerical simulations using this coupled MV–LV model are developed using an immersed boundary/finite element method. The model incorporates detailed valvular features, left ventricular contraction, nonlinear soft tissue mechanics, and fluid-mediated interactions between the MV and LV wall. We use the model to simulate cardiac function from diastole to systole. Numerically predicted LV pump function agrees well with in vivo data of the imaged healthy volunteer, including the peak aortic flow rate, the systolic ejection duration, and the LV ejection fraction. In vivo MV dynamics are qualitatively captured. We further demonstrate that the diastolic filling pressure increases significantly with impaired myocardial active relaxation to maintain a normal cardiac output. This is consistent with clinical observations. The coupled model has the potential to advance our fundamental knowledge of mechanisms underlying MV–LV interaction, and help in risk stratification and optimisation of therapies for heart diseases.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Luo, Professor Xiaoyu and Qi, Dr Nan and Griffith, Dr Boyce and Gao, Dr Hao and Feng, Mr Liuyang and Berry, Professor Colin |
| Authors: | Gao, H., Feng, L., Qi, N., Berry, C., Griffith, B. E., and Luo, X. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health College of Science and Engineering > School of Mathematics and Statistics |
| Journal Name: | Medical Engineering and Physics |
| Publisher: | Elsevier |
| ISSN: | 1350-4533 |
| ISSN (Online): | 1873-4030 |
| Published Online: | 25 July 2017 |
| Copyright Holders: | Copyright © 2017 The Authors |
| First Published: | First published in Medical Engineering and Physics 47:128-136 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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