Lim, Sheh Hong and Mohd Azrul Hisham, Mohd Adib and Mohd Shafie, Abdullah and Nur Hartini, Mohd Taib and Radhiana, Hassan and Azian, Abd Aziz (2021) Investigation into Physical and Pathophysiological Changes of Hemodynamics on Segmented Patient-Specific Cerebral Aneurysm Models through Computational Analysis. In: IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES 2020) , 1-3 March 2021 , Langkawi Island, Malaysia. pp. 136-141.. ISBN 978-1-7281-4245-6
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Abstract
Growth and rupture of human cerebral aneurysm are risky as both of these stages may lead to human organ dysfunction arisen from neurological disorders. The rupture of cerebral aneurysm can even lead to fatal hemorrhaging and other serious health issues. Several sets of medical images from patients have been utilized to reconstruct patient-specific cerebral aneurysm model geometries with different threshold value through image segmentation for computational analysis. In this paper, the physical and pathophysiological changes on hemodynamics, namely geometry volume, inlet area, outlet area, wall shear stress (WSS) distribution, and velocity flow field in the particular models are discussed. A prediction on the location where the aneurysm grows and ruptures has been made. Besides, the model geometries have been validated with varied mesh size. The simulation results show that the mesh size which is applied on the model geometry has significant effect on the generated WSS and velocity values, when varying within certain range. From the findings, the mesh size is one of the important elements which should be optimized, other than the threshold value used for model geometry reconstruction.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | Geometry, Image segmentation, Computational modeling, Simulation, Aneurysm, Hemodynamics, Image reconstruction |
| Subjects: | Q Science > QP Physiology |
| Faculty/Division: | College of Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 19 Apr 2021 05:58 |
| Last Modified: | 19 Apr 2021 05:58 |
| URI: | http://umpir.ump.edu.my/id/eprint/31270 |
| Download Statistic: | View Download Statistics |
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