EVENTO
COMPUTATIONAL MODELS FOR THE GEOMETRIC AND FUNCTIONAL ANALYSIS OF CORONARY CIRCULATION
Tipo de evento: Exame de Qualificação
Coronary heart disease is one of the leading causes of death worldwide. Although several risk factors are well known, like healthy eating, exercise, smoking, etc; many lesions cannot be explained by these systemic factors alone. Albeit familial cases of heart disease are also considered a risk factor, a clear genetic linkage has not been discovered yet. The hypothesis of arteries developing lesions due to its morphology, known as geometric risk factors and/or due to hemodynamic forces, has been raised more than thirty years ago. Although investigators have found connection between geometric and hemodynamic variables to lesions, there exists no quantifiable index that helps cardiologist to predict actual risks. Even when a severe lesion is present, recent studies have found that some patients can develop collateral circulation to provide sufficient blood flow to the myocardium, thus avoiding ischemia. Regrettably vascular capability can only be assessed by invasive medical exams, for example Fractional Flow Reserve (FFR), Collateral Flow Reserve (FFRcol) and related indexes. Moreover, these studies are expensive, require highly trained cardiologists and involve some risk to the patient during intervention. In this context, the goals of the proposed thesis are (i) to fully characterized coronary arterial trees from a geometrical perspective, search for hereditary geometric features and correlations between morphology and disease; (ii) to construct hemodynamic models that allow the prediction of isquemic risk due to stenosis using measures of FFR predicted by computational fluid dynamic models built on top of patient-specific medical images of coronary trees. Furthermore, we propose the development of workflows to process a high number of patients and the implementation of a database infrastructure to support heterogeneous data, to store and query all the input and generated data.
Data Início: 07/04/2015 Hora: 10:00 Data Fim: 07/04/2015 Hora: 14:00
Local: LNCC - Laboratório Nacional de Computação Ciêntifica - Auditorio A
Aluno: Carlos Alberto Bulant - Universidad Nacional del Centro - UNICEN
Orientador: Pablo Javier Blanco - Laboratório Nacional de Computação Científica - LNCC Raúl A. Feijóo - Laboratório Nacional de Computação Científica - LNCC
Participante Banca Examinadora: Fabio Andre Machado Porto - Laboratório Nacional de Computação Científica - LNCC Gilson Antônio Giraldi - Laboratório Nacional de Computação Científica - LNCC Gustavo Alberto Perla Menzala - LNCC/UFRJ - LNCC
