Key result
A Computational Fluid Dynamics model of the circle of Willis can detect smaller cerebral arteries that are typically invisible on nonintrusive magnetic resonance imaging.
Why the study?
Does Computational Fluid Dynamics (CFD) modeling improve the detection of small cerebral arteries compared to nonintrusive MR studies?
Does Computational Fluid Dynamics (CFD) modeling improve the detection of small cerebral arteries compared to nonintrusive MR studies?
Computational fluid dynamics can simulate the human cerebrovascular tree to detect small arteries missed by standard MRI.
The application of Computational Fluid Dynamics (CFD) to model biological flows is quite a recent one. This study presents a CFD model of the circle of Willis developed to simulate the human cerebrovascular tree. Specifically, we aim to show how smaller arteries, often not visible by nonintrusive MR studies, can be detected by making use of the results obtained from the computer simulation.
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Ferrández et al. (2002) studied this question. A Computational Fluid Dynamics model of the circle of Willis can detect smaller cerebral arteries that are typically invisible on nonintrusive magnetic resonance imaging.
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