Computational analysis on stent geometries in carotid artery
Stent implantation is an altemative invasive technique for treating the narrowed artery or stenosis in carotid artery to restore blood to the brain. However, the restenosis process is usually observed after a few weeks of carotid stenting due to abnormal progression of atherosclerosis and thrombosis...
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my-uthm-ep.2242021-07-13T01:25:07Z Computational analysis on stent geometries in carotid artery 2018-08 Paisal, Muhammad Sufyan Amir QA299.6-433 Analysis Stent implantation is an altemative invasive technique for treating the narrowed artery or stenosis in carotid artery to restore blood to the brain. However, the restenosis process is usually observed after a few weeks of carotid stenting due to abnormal progression of atherosclerosis and thrombosis. Many studies reported that the activity of atherosclerosis and thrombosis is majorly influenced by the geometrical strut configuration. Thus, this study was canied out to determine the haemodynamic performance on different geometrical stent strut configurations based on numerical modelling and statistical analyses. Six different stent strut configurations were 3-D modelled and simulated in different physiological conditions; normal blood pressure (NBP), pre-hypertension (PH) and hypertension stage one (HS1) through computational fluid dynamic (CFD) method. The haemodynamic performance of stent was analysed based on parameters namely time averaged wall shear stress (TAWSS), time averaged wall shear stress gradient (TAWSSG), oscillatory shear index (OSI), relative residence time (RRT) and flow separation parameter (FSP). Meanwhile, Pictorial Selection Method was used to evaluate the best haemodynamic stent performance based on a scoring system. From observation, stent Type VI was seen to show the highest score for TAWSS, which was 2.98 in overall physiological condition. For TAWSSG, the lowest score was observed for Type V stent with 0.51. Furthermore, Type VI stent displayed the highest score for OSI while Type IV has the lowest score for FSP with 2.08 and 0.28, respectively. On the other hand, RRT was seen varying according to the physiological condition where the highest score in NBP and PH conditions were achieved by Type I while HS1 condition was achieved by Type V. In conclusion, Type VI has the best stent performance, whereas Type IV has the worst stent performance according to the scoring system based on haemodynamic parameters. Further, Type I, Type II, Type III and Type V stents showed moderate hemodynamic performances for all physiological conditions. 2018-08 Thesis http://eprints.uthm.edu.my/224/ http://eprints.uthm.edu.my/224/1/24p%20MUHAMMAD%20SUFYAN%20AMIR%20BIN%20PAISAL.pdf text en public http://eprints.uthm.edu.my/224/2/MUHAMMAD%20SUFYAN%20AMIR%20BIN%20PAISAL%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/224/3/MUHAMMAD%20SUFYAN%20AMIR%20BIN%20PAISAL%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Mechanical and Manufacturing Engineering |
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Universiti Tun Hussein Onn Malaysia |
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QA299.6-433 Analysis |
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QA299.6-433 Analysis Paisal, Muhammad Sufyan Amir Computational analysis on stent geometries in carotid artery |
description |
Stent implantation is an altemative invasive technique for treating the narrowed artery or stenosis in carotid artery to restore blood to the brain. However, the restenosis process is usually observed after a few weeks of carotid stenting due to abnormal progression of atherosclerosis and thrombosis. Many studies reported that the activity of atherosclerosis and thrombosis is majorly influenced by the geometrical strut configuration. Thus, this study was canied out to determine the haemodynamic performance on different geometrical stent strut configurations based on numerical modelling and statistical analyses. Six different stent strut configurations were 3-D modelled and simulated in different physiological conditions; normal blood pressure (NBP), pre-hypertension (PH) and hypertension stage one (HS1) through computational fluid dynamic (CFD) method. The haemodynamic performance of stent was analysed based on parameters namely time averaged wall shear stress (TAWSS), time averaged wall shear stress gradient (TAWSSG), oscillatory shear index (OSI), relative residence time (RRT) and flow separation parameter (FSP). Meanwhile, Pictorial Selection Method was used to evaluate the best haemodynamic stent performance based on a scoring system. From observation, stent Type VI was seen to show the highest score for TAWSS, which was 2.98 in overall physiological condition. For TAWSSG, the lowest score was observed for Type V stent with 0.51. Furthermore, Type VI stent displayed the highest score for OSI while Type IV has the lowest score for FSP with 2.08 and 0.28, respectively. On the other hand, RRT was seen varying according to the physiological condition where the highest score in NBP and PH conditions were achieved by Type I while HS1 condition was achieved by Type V. In conclusion, Type VI has the best stent performance, whereas Type IV has the worst stent performance according to the scoring system based on haemodynamic parameters. Further, Type I, Type II, Type III and Type V stents showed moderate hemodynamic performances for all physiological conditions. |
format |
Thesis |
qualification_name |
Master of Philosophy (M.Phil.) |
qualification_level |
Master's degree |
author |
Paisal, Muhammad Sufyan Amir |
author_facet |
Paisal, Muhammad Sufyan Amir |
author_sort |
Paisal, Muhammad Sufyan Amir |
title |
Computational analysis on stent geometries in carotid artery |
title_short |
Computational analysis on stent geometries in carotid artery |
title_full |
Computational analysis on stent geometries in carotid artery |
title_fullStr |
Computational analysis on stent geometries in carotid artery |
title_full_unstemmed |
Computational analysis on stent geometries in carotid artery |
title_sort |
computational analysis on stent geometries in carotid artery |
granting_institution |
Universiti Tun Hussein Onn Malaysia |
granting_department |
Faculty of Mechanical and Manufacturing Engineering |
publishDate |
2018 |
url |
http://eprints.uthm.edu.my/224/1/24p%20MUHAMMAD%20SUFYAN%20AMIR%20BIN%20PAISAL.pdf http://eprints.uthm.edu.my/224/2/MUHAMMAD%20SUFYAN%20AMIR%20BIN%20PAISAL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/224/3/MUHAMMAD%20SUFYAN%20AMIR%20BIN%20PAISAL%20WATERMARK.pdf |
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1747830558269898752 |