P1449 CMR-driven computational modeling of right ventricular flow dynamics
| Autor: | G Mirto, L Romano, Francesco Ferrara, M Notorio, Eduardo Bossone, Francesco Capuano, Yue-Hin Loke, Rosangela Cocchia, C Mauro, Gennaro Coppola, B Ranieri, C Contaldi, Santo Dellegrottaglie, Elias Balaras |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | European Heart Journal - Cardiovascular Imaging. 21 |
| ISSN: | 2047-2412 2047-2404 |
| DOI: | 10.1093/ehjci/jez319.877 |
| Popis: | Introduction The analysis of intracardiac blood flow patterns can significantly contribute to improve the understanding and treatment of cardiovascular disease. In contrast to the substantial literature on the left side of the heart, there is currently a significant lack of knowledge about the fluid mechanics of the right heart – pulmonary circulation unit (RH-PCU), both in healthy and diseased conditions. Purpose It is conjectured that computational modeling can be a key element to enhance current imaging techniques and provide quantitative insights into the unique RH-PCU biomechanics. Here we present a novel methodology that allows personalized numerical simulations of right heart flows, through a proper combination of cardiac magnetic resonance (CMR) with computational fluid dynamics (CFD). Methods and results We developed a patient-specific pipeline from medical images to computational models, as depicted in the figure. First, the RV geometry is reconstructed from time-resolved CMR cine images, comprising short-axis and longitudinal slices of the heart, where feature-tracking techniques are used to extract the motion of the RV endocardium contours. A time-continuous description of the moving geometry is obtained through an image-registration algorithm based on diffeomorphic mappings. The moving model of the RV, including the outflow tract and proximal pulmonary arteries, is finally fed to a dedicated CFD solver. The tool is able to provide a detailed description of the velocity and pressure fields inside the right ventricle and proximal pulmonary arteries during all phases of the cardiac cycle. From these fields, global hemodynamic quantities such as vortex properties, kinetic energy, pressure gradients and hemodynamic forces can be computed. Conclusions CMR-driven computational modeling of intra-ventricular flow enables a promising approach for understanding and evaluating the biomechanical environment of the right heart. This high-fidelity framework can be applied to investigate the RV response and adaptation to abnormal pressure and/or volume load conditions. It can also be used to reproduce the virtual flow that would realize in hypothetical conditions, and therefore adds predictive capabilities to modern flow imaging. The analysis may allow to determine an association between blood flow patterns and disease progression, and ultimately lead to derive and validate imaging biomarkers of clinical significance. Abstract P1449 Figure. Pipeline for patient-specific modeling |
| Databáze: | OpenAIRE |
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