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Date of Award
2021
Document Type
Campus Access Master's Report
Degree Name
Master of Science in Biomedical Engineering (MS)
Administrative Home Department
Department of Biomedical Engineering
Advisor 1
Jingfeng Jiang
Committee Member 1
Hoda Hatoum
Committee Member 2
Weihua Zhou
Abstract
Two studies were conducted applying computational fluid dynamics (CFD) using “patient-specific” data to further the understanding of abdominal aortic aneurysms (AAAs) and aortic dissections. In Study 1, AAAs were studied to develop a predictive model that could differentiate fast (>5 mm/year) and slow (/year) growing aneurysms. The purpose of Study 2 was to provide a CFD methodology for type I and type II aortic dissections, then to compare wall shear stress (WSS) values between the two types. Computational hemodynamics were studied in 25 patient data samples for Study 1 and 6 patient data samples in Study 2 by running CFD simulations. Both objectives were met, with the predictive model in Study 1 having 77% total accuracy, and Study 2 was able to demonstrate the feasibility of creating “patient-specific” aortic dissection models that indicated there is no significant difference between type I and type II spatiotemporally averaged WSS values.
Recommended Citation
Johnson, Tonie, "Investigation into the Hemodynamics of Aortic Abnormalities Through Computational Fluid Dynamics", Campus Access Master's Report, Michigan Technological University, 2021.