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PMID: 25364852 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Review

Computational fluid dynamics in brain aneurysms.

International journal for numerical methods in biomedical engineering ·Vol. 28 ·No. 6-7 ·2012-00-00 ·页码 801-8

Sforza DM, Putman CM, Cebral JR

Abstract

Because of its ability to deal with any geometry, image-based computational fluid dynamics (CFD) has been progressively used to investigate the role of hemodynamics in the underlying mechanisms governing the natural history of cerebral aneurysms. Despite great progress in methodological developments and many studies using patient-specific data, there are still significant controversies about the precise governing processes and divergent conclusions from apparently contradictory results. Sorting out these issues requires a global vision of the state of the art and a unified approach to solving this important scientific problem. Towards this end, this paper reviews the contributions made using patient-specific CFD models to further the understanding of these mechanisms, and highlights the great potential of patient-specific computational models for clinical use in the assessment of aneurysm rupture risk and patient management.

Keywords
cerebral aneurysm computational fluid dynamics growth hemodynamics initiation rupture
MeSH 主题词
Cerebral Angiography/methods Cerebrovascular Circulation/physiology Computer Simulation Humans Hydrodynamics Intracranial Aneurysm/physiopathology
作者与单位
共 3 位作者,点击展开单位 / ORCID
Sforza Daniel M
Center for Computational Fluid Dynamics, School of Physics, Astronomy and Computational Sciences, George Mason University, 4400 University Drive, MSN 6A2, Fairfax, VA 22030, USA. [email protected].
Putman Christopher M
Cebral Juan R
Article Info
Journal
International journal for numerical methods in biomedical engineering
Abbr.
Int J Numer Method Biomed Eng
ISSN
2040-7947
Corresponding email
Published
2012-00-00
电子出版
2011-00-28
页码
801-8
Language
English
Country/Region
England
NLM ID
101530293
基金资助
NINDS NIH HHS · R01 NS059063 · United States
NINDS NIH HHS · R01NS059063 · United States
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