Alessandro Fisichella
Particle Image Velocimetry data-based pressure determination in phantoms of diseased coronary arteries.
Rel. Umberto Morbiducci, Giuseppe Carlo Alp Caridi, Elena Torta. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
Abstract
The in vitro characterization of the local fluid dynamics in realistic phantoms of healthy and diseased coronary arteries is of paramount importance, because of the need for robust data to be used for validation purposes of computational hemodynamics models, having the latter being elevated to dignity of clinical tool for specific applications. In recent decades, Particle image velocimetry (PIV) has been widely applied not only as a method for computational validation but also for assessing the haemodynamic performance of implantable devices and predicting the outcome of surgical procedures. However, this technique currently adopted for the experimental measurement of the velocity vector field does not give any information about pressure, a physical parameter of considerable interest also in the clinical context.
The aim of this thesis work is to identify and implement a procedure for estimating pressure from velocity data measured through Particle Image Velocimetry (PIV) in-vitro, in realistic phantoms of coronary arteries
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