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Computational modeling and simulation of heart ventricular mechanics from tagged MRI.

机译:从标记的MRI计算心室力学的建模和仿真。

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Heart ventricular mechanics has been investigated intensively in the last four decades. The passive material properties, the ventricular geometry and muscular architecture, and the myocardial activation are among the most important determinants of cardiac mechanics. The heart muscle is anisotropic, inhomogeneous, and highly nonlinear. The heart ventricular geometry is irregular and object dependent. The muscular architecture includes the organization of the fiber and the connective tissues. Studies of the myocardial activation have been carried out at both cell and tissue levels.; Previous work from our research group has successfully estimated the in-vivo motion and deformation of both the left and the right ventricles. In this dissertation, we first present a model to optimize the fiber and sheet orientation. Then, we present a stochastic model to estimate the in-vivo myocardium material properties, the active forces generated along fiber orientation, and stress distribution in both ventricles. Using the model, we have simulated the mechanical events of a few different heart diseases. Noticeable strain and stress differences are found between normal and diseased hearts.
机译:在过去的四十年中,对心脏心室力学进行了深入研究。被动的材料特性,心室的几何结构和肌肉结构以及心肌的激活是心脏力学最重要的决定因素。心肌是各向异性的,不均匀的并且是高度非线性的。心脏的心室几何形状不规则且取决于对象。肌肉结构包括纤维和结缔组织的组织。已经在细胞和组织水平上进行了心肌激活的研究。我们研究小组的先前工作已经成功地估计了左心室和右心室的体内运动和变形。本文首先提出了一种优化纤维和片材取向的模型。然后,我们提出一个随机模型,以估计体内心肌材料的特性,沿纤维方向产生的作用力以及两个心室中的应力分布。使用该模型,我们模拟了几种不同心脏病的机械事件。在正常和患病的心脏之间发现明显的应变和压力差异。

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