Giuseppe Matarrese
Three-Dimensional Reconstruction and Geometric Characterization of Diseased Coronary Arteries: Comparing Visual Estimation and 3D-QCA Against FFR.
Rel. Maurizio Lodi Rizzini, Umberto Morbiducci, Bianca Griffo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2025
Abstract
Coronary artery disease (CAD) is a major global health problem, and clinical decision making is often based on anatomical severity of the stenosis and its functional relevance. In practice, however, anatomy and physiology do not always align, complicating the decision-making. In this thesis a centerline-based geometric characterization was developed, computing curvature, tortuosity, and local radius, from 3D reconstructions of diseased coronary segments to look beyond simple lumen narrowing. Reconstructions were performed for 28 patients and integrated with 25 additional cases from a companion thesis, for a total of 53 coronary reconstructions on which standardized geometric descriptors were computed. The aim of this work was to examine how anatomical and functional severity are related.
Two anatomical assessment approaches were evaluated: (a) physician visual estimation (VE), reflecting experience-driven practice and a qualitative reading of the angiogram, and (b) software-based Three-Dimensional Quantitative Coronary Angiography (3D-QCA), which uses calibrated edge detection and reference-diameter modeling to compute percent diameter/area stenosis and lesion length
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
