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Abstract：
The mechanics of the mitral valve (MV) are the result of the interaction of different anatomical structures complexly arranged within the left heart (LH), with the blood flow. MV structure abnormalities might cause valve regurgitation which in turn can lead to heart failure. Patient-specific computational models of the MV could provide a personalised understanding of MV mechanics, dysfunctions and possible interventions. In this study, we propose a semi-automatic pipeline for MV modelling based on the integration of state-of-the-art medical imaging, i.e. cardiac magnetic resonance (CMR) and 3D transoesophageal-echocardiogram (TOE) with fluid-structure interaction (FSI) simulations. An FSI model of a patient with MV regurgitation was implemented using the finite element (FE) method and smoothed particle hydrodynamics (SPH). Our study showed the feasibility of combining image information and computer simulations to reproduce patient-specific MV mechanics as seen on medical images, and the potential for efficient in-silico studies of MV disease, personalised treatments and device design.
摘要：
二尖瓣（MV）的力学是复杂排列在左心（LH）内的不同解剖结构相互作用的结果，随着血液的流动。MV结构异常可能导致瓣膜返流，进而导致心力衰竭。针对患者的MV计算模型可以提供对MV力学的个性化理解，功能障碍和可能的干预措施。在这项研究中,我们提出了一种基于最先进的医学成像集成的半自动MV建模管道，即心脏磁共振（CMR）和3D经食管超声心动图（TOE）以及流体-结构相互作用（FSI）模拟。使用有限元（FE）方法和平滑粒子流体动力学（SPH）实现了MV返流患者的FSI模型。我们的研究表明，将图像信息和计算机模拟相结合，以再现医学图像上看到的患者特定的MV力学的可行性，以及有效的MV疾病计算机研究的潜力，个性化治疗和设备设计。
