Ngoepe and Ventikos have developed one of a growing number of computational models of thrombosis of cerebral aneurysms designed with consideration towards clinical use and research. Their model, amongst many others, utilizes computationally inexpensive steady flow conditions. However, pulsatile flow better characterizes blood flow in-vivo. Steady flow is an acceptable approximation of pulsatile flow from a fluid dynamics perspective, but there is no prior evidence suggesting whether it is an acceptable approximation when considering clot formation within a flowing environment. To this end a pulsatile flow model has been created in ANSYS® Fluent, and a function from Ngoepe and Ventikos’s computational model that simulates the release of thrombin, a chemical responsible for clotting activation, has been implemented. The output of this simulation is compared to the output of an otherwise identical simulation utilizing Particle-Image-Velocimetry (PIV) validated steady flow conditions, to determine whether clotting outcome of Ngoepe and Ventikos’s model, amongst others, differs with pulsatile flow This experiment revealed that the concentration of thrombin required for clotting activation is generated in nearly half the time when utilizing pulsatile flow over steady flow. Pulsatile flow creates unsteady flow patterns within the aneurysm, which create an environment where less thrombin is carried out of the aneurysm and into the regular bloodstream. This indicates that steady flow approximations for realistic clotting in computational models of thrombosis of cerebral aneurysms without strong consideration for the effects of pulsatile flow are inaccurate.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/31581 |
| Date | 12 March 2020 |
| Creators | Hume, Struan |
| Contributors | Ngoepe, Malebogo, Ho, Wei Hua |
| Publisher | Faculty of Health Sciences, Department of Human Biology |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Master Thesis, Masters, MSc |
| Format | application/pdf |
Page generated in 0.0021 seconds