In recent years, computational modeling of cardiac flow has made great progress and gained increased acceptance for investigating cardiac function in healthy and diseased conditions 2. The results indicate the capability of SPH as a promising tool for predicting clinically relevant large-scale LV flow information.Ĭardiovascular diseases (CVDs) are the number one cause of death globally, with an estimated 31% of all deaths worldwide 1. A quantitative comparison of the velocity fields and global flow parameters between the in silico models and the in vivo data shows a reasonable agreement, given the inherent uncertainties and limitations in the modeling and imaging techniques. SPH simulation results are analyzed and compared with those obtained using a traditional finite volume-based numerical method, and to in vivo phase contrast magnetic resonance imaging and echocardiography data, in terms of the large-scale blood flow phenomena usually clinically measured. Three dimensional geometries and motion of the LV, proximal left atrium and aortic root are extracted from cardiac magnetic resonance imaging and multi-slice computed tomography imaging data. This study aims to investigate the capability of smoothed particle hydrodynamics (SPH), a fully Lagrangian mesh-free method, to simulate the bulk blood flow dynamics in two realistic left ventricular (LV) models.
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