- Conference date: 30 November–3 December 2009
- Location: Hong Kong‐ Macau (China)
A computational fluid dynamics (CFD) based, patient‐specific cardiovascular modeling system is under‐developed. The system can identify possible diseased conditions and facilitate physicians’ diagnosis at early stage through the hybrid CFD simulation and time‐resolved magnetic resonance imaging (MRI). The CFD simulation is initially based on the three‐dimensional heart model developed by McQueen and Peskin, which can simultaneously compute fluid motions and elastic boundary motions using the immersed boundary method. We extend and improve the three‐dimensional heart model for the clinical application by including the patient‐specific hemodynamic information. The flow features in the ventricles and their responses are investigated under different inflow and outflow conditions during diastole and systole phases based on the quasi‐realistic heart model, which takes advantage of the observed flow scenarios. Our results indicate distinct differences between the two groups of participants, including the vortex formation process in the left ventricle (LV), as well as the flow rate distributions at different identified sources such as the aorta, vena cava and pulmonary veins/artery. We further identify some key parameters which may affect the vortex formation in the LV. Thus it is hypothesized that disease‐related dysfunctions in intervals before complete heart failure can be observed in the dynamics of transmitral blood flow during early LV diastole.
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