Martina Spada
Complex Networks-Based Exploration of Near-Wall Flow Disturbances in Computational Hemodynamic Models of Coronary Arteries.
Rel. Umberto Morbiducci, Diego Gallo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2019
Abstract
Cardiovascular diseases are a major cause of death , due to the rising incidence of obesity and diabetes in the Western world. Atherosclerosis is a vascular pathology where the accumulation of fat inside the arterial wall involves the formation of lipidic plaques, causing the narrowing or block of arteries. These plaques are usually located in the coronary arteries and atherosclerosis is in fact the main cause of coronary artery disease. The etiological factors of atherosclerosis have not been fully elucidated yet. However, it is well-known that hemodynamics plays an important role in the local onset and progression of vascular disease. This “hemodynamic hypothesis” suggests a co-localization of lesion prevalence at geometrically predisposed districts, such as arterial bifurcations, and disturbed flow regions, usually characterized by low and oscillatory wall shear stress (WSS).
The aim of this thesis is to provide a better understanding of near-wall flow structures and hemodynamic risk by exploring the spatiotemporal evolution of WSS applying Complex Networks (CNs) theory
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