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Hemodynamic models of cerebral aneurysms for assessment of effect of vessel geometry on risk of rupture

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/116089

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Title: Hemodynamic models of cerebral aneurysms for assessment of effect of vessel geometry on risk of rupture
Related: IEEE Engineering in Medicine and Biology Society Conference (31st : 2009) (2 - 6 September 2009 : Minneapolis, Minnesota)
Related: EMBC 2009 : Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society : "engineering the future of biomedicine" : 2-6 September, 2009, Hilton Minneapolis, Minnesota, p.2351-2353
DOI: 10.1109/IEMBS.2009.5335033
Related: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher: IEEE
Date: 2009
FoR/RFCD Code(s): 110300 Clinical Sciences 110900 Neurosciences
Author/Creator: Avolio, Alberto
Author/Creator: Farnoush, Azadeh
Author/Creator: Morgan, Michael
Author/Creator: Qian, Yi
Description: Surgical decisions on treatment of cerebral aneurysms are based predominantly on aneurysm size. This study has assessed the influence of parent vessel geometry on intra-aneurysmal flow patterns and mass flow rate using computational fluid dynamics and finite element modeling of straight and curved vessels feeding saccular aneurysms of varying size and aspect ratio. Simulation results have shown that aneurysms of similar shape and size but with curved parent vessels can have more than 2 fold increase in flow rate, with markedly different flow velocity patterns and development of secondary flows. These are significant hemodynamic factors that can contribute to increased risk of aneurysm rupture, in addition to aneurysm size. The dependency of parent vessel geometry is a function of aneurysm aspect ratio and shows minimal dependency at an aspect ratio of 1.68. These findings could be used for improved quantification of risk of rupture of cerebral aneurysms detected from clinical imaging modalities and to aid surgical decision making.
Description: 3 page(s)
Subject Keyword: 110300 Clinical Sciences
Subject Keyword: 110900 Neurosciences
Resource Type: conference paper
Organisation: Macquarie University. Australian School of Advanced Medicine

Identifier: http://hdl.handle.net/1959.14/116089
Identifier: ISBN:9781424432967
Identifier: ISSN:1557-170X
Identifier: mq-rm-2009006912
Language: eng
Rights: Copyright 2009 IEEE. Reprinted from EMBC 2009 : Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society : "engineering the future of biomedicine" : 2-6 September, 2009, Hilton Minneapolis, Minnesota. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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