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Fluid Structure Interaction for Evaluating Surgical Outcomes in Pre-clinical Settings
Abstract
Aneurysm and stenosis are widely regarded as the main causes of the cardiovascular diseases (CVDs). Although the mechanics appears to play a major role in the pathogenesis of the aneurysm as well as clinical diagnostics and surgical treatment for the stenosis, underlying mechanism of them have not yet been understood well in a biomechanical perspective. This was due to the following challenges: 1) lack of understanding in the role of the abnormal hemodynamics on vascular remodeling which is significantly associated with abdominal aortic aneurysm (AAA) progression, 2) absence of quantitative studies for the role of hemodynamic interference on clinical measurements to diagnose a stenosis in serial stenoses, 3) scant data on the impact of graft shapes and materials on the reconstructed mechanical environments of the aortic arch following the surgical treatment. The computational modeling of hemodynamics and vessel wall mechanics enables the detail investigation of the role of mechanics in disease pathogenesis, clinical diagnostics, and surgical treatment with integration of fragmented in-vitro & in-vivo experimental data. Firstly, we have developed animal-specific models to quantify the abnormal hemodynamics and examine its role on changes in aorta wall components to understand the pathogenesis of the AAA progression. Moreover, we quantitatively defined hemodynamic interference and examined its role on the currently used and recently proposed clinical measurements to improve the current clinical diagnostics in serial stenoses. Lastly, we have developed the patient-specific models with fluid-structure interaction approach. The impact of graft shapes and materials on the hemodynamics and wall mechanics of restored aortic arch and its correlation with clinical outcomes were examined to facilitate the better surgical treatment.
Subject Area
Biomedical engineering
Recommended Citation
Ju, Siyeong, "Fluid Structure Interaction for Evaluating Surgical Outcomes in Pre-clinical Settings" (2020). ETD collection for University of Nebraska-Lincoln. AAI27833249.
https://digitalcommons.unl.edu/dissertations/AAI27833249