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[Computational Fluid Dynamics(CFD)].

Authors: Tomoaki, Suzuki;

[Computational Fluid Dynamics(CFD)].

Abstract

Computational fluid dynamics(CFD)is a useful tool for simulating blood flow and has been applied to hemodynamic analysis in cerebrovascular disease. Although CFD requires an engineering approach, it can potentially contribute to preoperative surgical simulation as an intraoperative aid. In this study, we describe the basic hemodynamic parameters for CFD analysis and demonstrate their effective practical use by focusing on intracranial aneurysms. A thinning cerebral aneurysmal wall indicates a rupture risk, and it cautions neurosurgeons of an intraoperative rupture. High pressure and low wall shear stress(WSS)have been proposed as hemodynamic parameters that are related to a thinning wall. However, an atherosclerotic region is occasionally observed, and a combination of low WSS and high oscillatory shear index characterizes these wall lesions. One representative case of ruptured middle cerebral artery aneurysm showed that high pressure and low WSS can lead to the identification of rupture points in pre-rupture analysis. Meanwhile, in endovascular surgery, we conducted flow analysis in the residual cavity after coil embolization via metal artifact reduction using silent MR angiography. With the development of imaging modalities, a combination with CFD analysis can lead to new findings. Thus, use of CFD software by neurosurgeons for clinical applications is important.

Related Organizations
Keywords

Hemodynamics, Hydrodynamics, Humans, Computer Simulation, Intracranial Aneurysm, Stress, Mechanical, Aneurysm, Ruptured

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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