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PMID: 22548127 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

CFD and PIV analysis of hemodynamics in a growing intracranial aneurysm.

International journal for numerical methods in biomedical engineering ·Vol. 28 ·No. 2 ·2012-02-00 ·页码 214-28

Raschi M, Mut F, Byrne G, Putman CM, Tateshima S, Viñuela F, Tanoue T, Tanishita K, Cebral JR

Abstract

Hemodynamics is thought to be a fundamental factor in the formation, progression, and rupture of cerebral aneurysms. Understanding these mechanisms is important to improve their rupture risk assessment and treatment. In this study, we analyze the blood flow field in a growing cerebral aneurysm using experimental particle image velocimetry (PIV) and computational fluid dynamics (CFD) techniques. Patient-specific models were constructed from longitudinal 3D computed tomography angiography images acquired at 1-y intervals. Physical silicone models were constructed from the computed tomography angiography images using rapid prototyping techniques, and pulsatile flow fields were measured with PIV. Corresponding CFD models were created and run under matching flow conditions. Both flow fields were aligned, interpolated, and compared qualitatively by inspection and quantitatively by defining similarity measures between the PIV and CFD vector fields. Results showed that both flow fields were in good agreement. Specifically, both techniques provided consistent representations of the main intra-aneurysmal flow structures and their change during the geometric evolution of the aneurysm. Despite differences observed mainly in the near wall region, and the inherent limitations of each technique, the information derived is consistent and can be used to study the role of hemodynamics in the natural history of intracranial aneurysms.

MeSH 主题词
Computer Simulation Hemodynamics/physiology Hemorheology Humans Intracranial Aneurysm/physiopathology Male Middle Aged Models, Cardiovascular
作者与单位
共 9 位作者,点击展开单位 / ORCID
Raschi Marcelo
Mut Fernando
Byrne Greg
Putman Christopher M
Tateshima Satoshi
Viñuela Fernando
Tanoue Tetsuya
Tanishita Kazuo
Cebral Juan R
Article Info
Journal
International journal for numerical methods in biomedical engineering
Abbr.
Int J Numer Method Biomed Eng
ISSN
2040-7947
Published
2012-02-00
页码
214-28
Language
English
Country/Region
England
NLM ID
101530293
基金资助
NINDS NIH HHS · R01 NS059063 · United States
NINDS NIH HHS · R01 NS059063-05 · United States
NINDS NIH HHS · R01NS059063 · United States
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