Mei, Y., Chan, I., Chen, D. et al. (1 more author) (2017) A novel Fluid-Solid-Growth-Transport (FSGT) framework for modelling the evolution of intracranial aneurysm disease. In: Proceedings of the 5th International Conference on Computational & Mathematical Biomedical Engineering. 5th International Conference on Computational & Mathematical Biomedical Engineering, 10-12 Apr 2017, Pittsburgh, United States. CMBE , pp. 1271-1272. ISBN 978-0-9562914-4-8
Abstract
Computational models of intracranial aneurysm (IA) evolution do not explicitly represent endothelial cells (ECs). Here, we extend an IA Fluid-Solid-Growth framework to model Transport and to explicitly represent the morphology of the endothelium; we consider the competing influences of both cyclic deformation and wall shear stress to guide EC shape and alignment. We then establish a model which links EC morphology to EC permeability and the growth of the aneurysm. We envisage improved modelling of the role of the endothelium may help to differentiate between stable IAs and those likely to rupture.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. |
Keywords: | Intracranial aneurysm; endothelial cells; permeability; wall shear stress; cyclic stretch |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Oct 2017 14:35 |
Last Modified: | 19 Dec 2022 13:37 |
Published Version: | http://www.compbiomed.net/2017/cmbe-proceedings.ht... |
Status: | Published |
Publisher: | CMBE |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:122755 |