Teixeira, F., Neufeld, E., Hirsch, S. et al. (2 more authors) (2019) Modelling intracranial aneurysm stability/enlargement: a patient-specific mechanobiological framework. In: Nithiarasu, P., Ohta, M. and Oshima, M., (eds.) Proceedings of 6th International Conference of Computational and Mathematical Biomedical Engineering. 6th International Conference of Computational and Mathematical Biomedical Engineering, 10-12 Jun 2019, Sendai City, Japan. Zeta Computational Resources Ltd , pp. 718-721. ISBN 978-0-9562914-5-5
Abstract
We model the enlargement of clinically detected intracranial aneurysms. The tissue is modelled as a fibre-reinforced constrained mixture and represents the collagen fibre attachment stretch distribution and its remodelling. Tissue growth and remodelling is linked to pulsatile hemodynamic stimuli and cyclic deformation. The collagenous adventitia of the parent artery is modelled as a protective mechanical sheath whereas collagen is modelled as the dominant load bearer in the aneurysm sac. Initially, we assume that the collagen fabric is in homeostasis throughout the domain. Subsequent localised collagen degradation associated with a dysfunctional endothelium drives the formation of secondary blebs on the aneurysm dome.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. |
Keywords: | Intracranial aneurysm; remodelling; mechanobiology |
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) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/N014642/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jun 2019 10:15 |
Last Modified: | 06 Jun 2019 10:15 |
Published Version: | http://www.compbiomed.net/2019/cmbe-proceedings.ht... |
Status: | Published |
Publisher: | Zeta Computational Resources Ltd |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146729 |