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Computational Methods for Patient-Specific Perfusion Simulations of Coronary Arteries
Hyun Jin Kim(김현진),L. Papamanolis,C. Jaquet,M. Sinclair,M. Schaap,I. Danad,P. van Diemen,P. Knaapen,L. Najman,H. Talbot,C. A. Taylor,I. E. Vignon-Clementel 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
Patient-specific computational simulations of blood flow are utilized to diagnose and predict treatment outcomes of coronary artery disease. The computational simulations, however, are limited when estimating perfusion in the myocardium as multiscale vessels from arteries to capillaries need to be developed. We propose a multiscale patient-specific computational model framework to simulate blood flow from large coronary arteries to myocardial tissues. Patient vasculatures were segmented from coronary computed tomography angiography data and then extended from the image-based model down to the arteriole level using a space-filling synthetic forest of arterial trees. Blood flow is modelled by coupling a 1-D model of the coronary arteries to a single-compartment Darcy myocardium model. Simulated results for 5 patients with non-obstructive coronary artery disease are compared to [<sup>15</sup>O]H<sub>2</sub>O PET exam data for both resting and hyperemic conditions. Results on a patient with a severe disease demonstrate coronary artery disease can predict myocardial regions with perfusion deficit. This multiscale computational model of simulating blood flow from the epicardial coronary arteries to the left ventricle myocardium will be further validated and applied to human data.