Simple Search:

Numerical modelling of blood cells distribution in flow through cerebral artery aneurysm


Citation

Arshad, Syazatul Aniza and Sabir, Osama and Huang, Joanne and Ly, Kevin and Nguyen, Angela and Tuan Ya, Tuan Mohammad Yusoff Shah and Muda, Ahmad Sobri and Mohammad Razi, Adli Azam and Shuib, Anis Suhaila (2018) Numerical modelling of blood cells distribution in flow through cerebral artery aneurysm. Malaysian Journal of Fundamental and Applied Sciences, 14 (1). pp. 127-132. ISSN 2289-5981; ESSN: 2289-599X

Abstract / Synopsis

Recent aneurysm studies have focused on the correlation between different parameters and rupture risk; however, there have been conflicting findings. Computational fluid dynamics (CFD) allows for better visualization but idealized aneurysm models may neglect important variables such as aneurysm shape and blood flow conditions. In this paper, one case of an aneurysm was studied with CFD using a non-Newtonian Power Law Model to investigate the correlation between wall shear stress and blood cells distribution. Results show that velocity of blood flow decreased as it entered the aneurysm and the neck of the aneurysm experienced a greater magnitude of wall shear stress than the remainder of the cerebral artery. Besides, the blood cells generally begin at low velocities and increase after the first curve of the artery. Findings and further studies with larger cases of patients will improve treatment and prevention of aneurysm ruptures.


Download File

[img]
Preview
PDF (Abstract)
Numerical modelling of blood cells distribution in flow through cerebral artery aneurysm.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Medicine and Health Science
DOI Number: https://doi.org/10.11113/mjfas.v14n1.915
Publisher: Penerbit UTM Press
Keywords: Aneurysm; CFD; Wall shear stress; Blood cells
Depositing User: Nabilah Mustapa
Date Deposited: 11 Jun 2018 08:17
Last Modified: 11 Jun 2018 08:17
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11113/mjfas.v14n1.915
URI: http://psasir.upm.edu.my/id/eprint/64088
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item