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Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment
There are a growing number of computational models of thrombosis in cerebral aneurysms designed with consideration towards clinical use and research. Many thrombosis models include complicated clotting mechanisms, which can be computationally expensive, and present a challenge to comprehensively val...
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| Format: | Thesis |
| Language: | English English |
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Department of Human Biology
2025
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| _version_ | 1867613225166569472 |
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| access_status_str | Open Access |
| author | Hume, Struan Robertson |
| author2 | Ngoepe, Malebogo |
| author_browse | Hume, Struan Robertson Ngoepe, Malebogo |
| author_facet | Ngoepe, Malebogo Hume, Struan Robertson |
| author_sort | Hume, Struan Robertson |
| collection | Thesis |
| description | There are a growing number of computational models of thrombosis in cerebral aneurysms designed with consideration towards clinical use and research. Many thrombosis models include complicated clotting mechanisms, which can be computationally expensive, and present a challenge to comprehensively validate in vitro due in part to the complexity of adequately measuring the ongoing interaction between flow and clot-growth; a key factor in predicting aneurysm-occlusion after surgical placement of a stent. To this end, a pulsatile-flow direct thrombosis-model has been developed towards use in a clinical environment to predict thrombosis outcomes in patient-specific cerebral aneurysm cases with and without a flow diverter, and is validated at each 0.05s timestep using a novel PIV-based (Particle Image Velocimetry) in vitro clotting flow experiment that simultaneously captures motion of a fibrin clot strand and surrounding flow within an idealized aneurysm flow vessel. The validated pulsatile-flow fibrin clot-model produces plausible clotting outcomes in each of the patient-specific cerebral aneurysm cases, with and without flow diverters, dependent upon the classification and size of cerebral aneurysm in question. The novel PIV-based in vitro clotting flow experiment demonstrates that fibrin clotting and flow may be measured simultaneously using PIV techniques. In cross-referencing the results of multiple simulations and flow experiments performed for this thesis with one another and to literature, the combined studies indicate two potentially important considerations for future direct thrombosis models of cerebral aneurysms. These include directional clot growth in accordance with the alignment of fibrin strands due to periodically high physiological flow rates, and the significance of the non-Newtonian features of blood for the modelling of physiological flow and wall boundaries in major cerebral arteries, although the results of a small sample of experiments is far from conclusive and further study in these areas is required. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/40937 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:32:45.765Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Department of Human Biology |
| publisherStr | Department of Human Biology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/40937 Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment Hume, Struan Robertson Ngoepe, Malebogo Computational Models There are a growing number of computational models of thrombosis in cerebral aneurysms designed with consideration towards clinical use and research. Many thrombosis models include complicated clotting mechanisms, which can be computationally expensive, and present a challenge to comprehensively validate in vitro due in part to the complexity of adequately measuring the ongoing interaction between flow and clot-growth; a key factor in predicting aneurysm-occlusion after surgical placement of a stent. To this end, a pulsatile-flow direct thrombosis-model has been developed towards use in a clinical environment to predict thrombosis outcomes in patient-specific cerebral aneurysm cases with and without a flow diverter, and is validated at each 0.05s timestep using a novel PIV-based (Particle Image Velocimetry) in vitro clotting flow experiment that simultaneously captures motion of a fibrin clot strand and surrounding flow within an idealized aneurysm flow vessel. The validated pulsatile-flow fibrin clot-model produces plausible clotting outcomes in each of the patient-specific cerebral aneurysm cases, with and without flow diverters, dependent upon the classification and size of cerebral aneurysm in question. The novel PIV-based in vitro clotting flow experiment demonstrates that fibrin clotting and flow may be measured simultaneously using PIV techniques. In cross-referencing the results of multiple simulations and flow experiments performed for this thesis with one another and to literature, the combined studies indicate two potentially important considerations for future direct thrombosis models of cerebral aneurysms. These include directional clot growth in accordance with the alignment of fibrin strands due to periodically high physiological flow rates, and the significance of the non-Newtonian features of blood for the modelling of physiological flow and wall boundaries in major cerebral arteries, although the results of a small sample of experiments is far from conclusive and further study in these areas is required. 2025-02-12T13:22:26Z 2025-02-12T13:22:26Z 2024 2025-02-12T13:19:39Z Thesis / Dissertation Doctoral PhD http://hdl.handle.net/11427/40937 en eng application/pdf Department of Human Biology Faculty of Health Sciences University of Cape Town |
| spellingShingle | Computational Models Hume, Struan Robertson Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment |
| thesis_degree_str | Doctoral |
| title | Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment |
| title_full | Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment |
| title_fullStr | Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment |
| title_full_unstemmed | Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment |
| title_short | Computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient-derived geometries validated with novel PIV-based ln vitro clotting flow experiment |
| title_sort | computational model of thrombosis in cerebral aneurysms for predicting clotting outcomes in flow diverter treated patient derived geometries validated with novel piv based ln vitro clotting flow experiment |
| topic | Computational Models |
| url | http://hdl.handle.net/11427/40937 |
| work_keys_str_mv | AT humestruanrobertson computationalmodelofthrombosisincerebralaneurysmsforpredictingclottingoutcomesinflowdivertertreatedpatientderivedgeometriesvalidatedwithnovelpivbasedlnvitroclottingflowexperiment |