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PMID: 29060624 Published · ppublish English Journal Article

Sensitivity study on modelling a flow-diverting stent as a porous medium using computational fluid dynamics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·Vol. 2017 ·2017-07-00 ·页码 3389-3392

Yujie Li, Mingzi Zhang, Verrelli DI, Yang W, Chong W, Ohta M, Yi Qian

Abstract

The flow-diverting (FD) stent has become a commonly used endovascular device to treat cerebral aneurysms. This discourages blood from entering the aneurysm, thereby reducing the likelihood of aneurysm rupture. Using computational fluid dynamics (CFD) to simulate the aneurysmal haemodynamics after FD treatment could help clinicians predict the stent effectiveness prior to the real procedure in the patient. As an alternative to modelling the stent as a fine wire mesh, modelling the FD stent as a porous medium was established to save computational time, and has also been proved capable of predicting the same haemodynamics as obtained using the real FD stent geometry. The flow resistance effect of a porous-medium stent may differ with respect to its morphology or permeability; however, the flow resistance effect after adjusting these parameters had not been clarified. In this study, we analysed the haemodynamic changes caused by alterations of porous-medium thickness and permeability, thereby providing future porous-medium stent simulations with important information on the respective parametric sensitivities. We found significant sensitivity to permeability. Results were insensitive to thickness when permeability was adjusted beforehand to compensate. We also compared our results with observations from an in-vitro model, and found good agreement. This supports adoption of porous-medium models in future work.

MeSH 主题词
Aneurysm, Ruptured Hemodynamics Humans Hydrodynamics Intracranial Aneurysm Stents
作者与单位
共 7 位作者,点击展开单位 / ORCID
Yujie Li
Mingzi Zhang
Verrelli David I
Yang William
Chong Winston
Ohta Makoto
Yi Qian
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
2694-0604
Published
2017-07-00
页码
3389-3392
Language
English
Country/Region
United States
NLM ID
101763872
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