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PMID: 19164062 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Assessment of the effects of increasing levels of physiological realism in the computational fluid dynamics analyses of implanted coronary stents.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·Vol. 2008 ·2008-00-00 ·页码 5906-9

Murphy J, Boyle F

Abstract

Coronary stent implantation can improve blood flow in an artery that has been narrowed by the build up of arterial plaque. However, the implantation of the stent will change the geometry of the vessel wall. The haemodynamic effects of the stents presence and alteration of the vessel wall are unclear. The redistribution of flow induced vessel wall shear stress (WSS) and wall shear stress gradient (WSSG) may directly contribute to restenosis (re-blockage). Computational fluid dynamics (CFD) is used extensively to identify these parameters in stented vessels. However, simplifications to the model of the stented artery are common. In this paper, computational domains of stented arteries with increasing levels of physiological realism are created. CFD is used to predict the WSS and WSSG for each set of computational domains. Finally, the results show that certain simplifications are not valid for CFD analyses of implanted coronary stents.

MeSH 主题词
Blood Flow Velocity Blood Vessel Prosthesis Computer Simulation Coronary Circulation Coronary Stenosis/physiopathology,surgery Equipment Failure Analysis Humans Models, Cardiovascular Prosthesis Design Stents
作者与单位
共 2 位作者,点击展开单位 / ORCID
Murphy J
Mechanical Engineering Department at the Dublin Institute of Technology, Ireland. [email protected]
Boyle F
Article Info
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Abbr.
Annu Int Conf IEEE Eng Med Biol Soc
ISSN
2375-7477
Corresponding email
Published
2008-00-00
页码
5906-9
Language
English
Country/Region
United States
NLM ID
101763872
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