Sarrami-Foroushani, A., Lassila, T. orcid.org/0000-0001-8947-1447, Gooya, A. et al. (2 more authors) (2016) Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability. Journal of Biomechanics. ISSN 1873-2380
Abstract
Adverse wall shear stress (WSS) patterns are known to play a key role in the localisation, formation, and progression of intracranial aneurysms (IAs). Com- plex region-specific and time-varying aneurysmal WSS patterns depend both on vascular morphology as well as on variable systemic ow conditions. Com- putational uid dynamics (CFD) has been proposed for characterising WSS patterns in IAs; however, CFD simulations often rely on deterministic bound- ary conditions that are not representative of the actual variations in blood ow. We develop a data-driven statistical model of internal carotid artery (ICA) ow, which is used to generate a virtual population of waveforms used as inlet bound- ary conditions in CFD simulations. This allows the statistics of the resulting aneurysmal WSS distributions to be computed. It is observed that ICA wave- form variations have limited in uence on the time-averaged WSS (TAWSS) on the IA surface. In contrast, in regions where the ow is locally highly multidi- rectional, WSS directionality and harmonic content are strongly affected by the ICA ow waveform. As a consequence, we argue that the effect of blood ow variability should be explicitly considered in CFD-based IA rupture assessment to prevent confounding the conclusions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier This is an author produced version of a paper subsequently published in Journal of Biomechanics. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | intracranial aneurysms; multidirectional flow; wall shear stress; computational fluid dynamics; uncertainty quantification |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Oct 2016 09:06 |
Last Modified: | 03 Nov 2017 01:37 |
Published Version: | http://dx.doi.org/10.1016/j.jbiomech.2016.10.005 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jbiomech.2016.10.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:105896 |
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