Document Type


Date of Degree

Spring 2013

Degree Name

PhD (Doctor of Philosophy)

Degree In

Biomedical Engineering

First Advisor

Krishnan B. Chandran

Second Advisor

Jia Lu

First Committee Member

Madhavan L Raghavan

Second Committee Member

Sarah C Vigmostad

Third Committee Member

Nicole M Grosland


This thesis introduces a framework aimed at developing an aid for physicians to diagnose and manage failing aortic valves using finite element (FE) simulations. The bicuspid aortic valve (BAV) is the most commonly observed valvular defect (Sievers et al. 2007) and therefore used to investigate the clinical utility of FE-based mechanical simulations. For the analysis, patient data was collected using real-time 3D echocardiography (rt3DE) of five normal valves and three pathological. The valve geometries were reconstructed into 3D models including the sinus and leaflet structures. An FE analysis was completed on the models, and the results were critically analyzed and validated with experimental data. Results indicate that human patient aortic valves can be successfully reconstructed and when simulated, realistic deformation is observed. This thesis focused on severity assessment of BAV morphologies through comparison to that of normal aortic valves.


Aortic, Bicuspid, Cardiovascular, Patient, rt3DE, Valve


v, 71 pages


Includes bibliographical references (pages 58-61).


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Copyright 2013 Paul Nicholas Jermihov