Application of computational fluid dynamics for detection of high risk region in middle cerebral artery (MCA) aneurysm
Ali Rostamian,
Keivan Fallah,
Yasser Rostamiyan and
Javad Alinejad
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Ali Rostamian: Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Keivan Fallah: Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Yasser Rostamiyan: Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Javad Alinejad: Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 02, 1-12
Abstract:
In the recent decades, the main reason for the high death rate is related to cardiovascular disease and stroke. In this paper, numerical studies have been done to investigate the hemodynamic effects on the rupture of middle cerebral artery (MCA) in different working conditions. In this work, the effects of the blood viscosity and velocity on the pressure distribution and average wall shear stress (AWSS) are fully investigated. Also, the flow pattern inside the aneurysm is investigated to obtain the high-risk regions for the rupture of the aneurysm. Our findings show that the wall shear stress increases with increasing the blood flow velocity. Meanwhile, the risk of aneurysm rupture is considerably increased when the AWSS increases more than 0.6. In fact, the blood flow with high viscosity expands the high-risk region on the wall of the aneurysm. Blood flow indicates that the angle of the incoming bloodstream is substantially effective in the high-risk region on the aneurysm wall. The augmentation of the blood velocity and vortices considerably increases the risk of hemorrhage of the aneurysm.
Keywords: Cerebral aneurysm; CFD; WSS; blood stream; cardiovascular disease (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:34:y:2023:i:02:n:s0129183123500195
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DOI: 10.1142/S0129183123500195
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