Guan, D., Luo, X. and Gao, H. (2022) Effect of Myofibre Dispersion on Ventricular Pump Function. In: 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 Jun 2022, pp. 372-375. ISBN 9780956291462
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Abstract
Fibre structure in the myocardium, the organization of myocytes and collagen, plays a significant role in both passive and active myocardial behaviours. In this work, we developed a fibre dispersion model in myocardium based on a non-rotationally symmetric fibre distribution by taking into both the in-plane and out-of-plane dispersion, we then studied the effect of fibre dispersion on cardiac pump functions in a human left ventricular model. To exclude compress fibres for the passive response of myocardium, we employed the discrete fibre dispersion model which uses finite fibre bundles over the fibre dispersion domain, and finally, the general structural tensor was adopted when computing dispersed active tensions. Our results demonstrate that both the diastolic filling and the systolic contraction will be affected by dispersed fibres, especially in systolic contraction. Our results also highlight the necessity of using dispersed fibre models when modelling myocardial mechanics, especially when fibres are largely dispersed under pathological conditions.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | The authors are grateful for the UK EPSRC funding (EP/S030875, EP/S020950/1, EP/S014284/1). H.G. further acknowledges the EPSRC ECR Capital Award (308011) from UofG. D. Guan also acknowledges funding from the Chinese Scholarship Council and the fee waiver from the University of Glasgow. |
| Keywords: | Cardiac pump function, fibre dispersion, discrete fibre dispersion model, general structure tensor. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Luo, Professor Xiaoyu and Guan, Mr Debao and Gao, Dr Hao |
| Authors: | Guan, D., Luo, X., and Gao, H. |
| Subjects: | Q Science > QA Mathematics |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics > Mathematics |
| ISSN: | 2227-9385 |
| ISBN: | 9780956291462 |
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