In vivo strain and stress estimation of the heart left and right ventricles from MRI images
In vivo strain and stress estimation of the heart left and right ventricles from MRI images
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DOI：
10.1016/s1361-8415(03)00032-x
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发表时间：
2003-12-01
影响因子：
10.9
通讯作者：
Axel, L
中科院分区：
文献类型：
--
作者：
Hu, ZH;Metaxas, D;Axel, L
在过去的四十年里，心肌的力学特性得到了广泛的研究。由于心肌是一种非均匀的、各向异性的材料，许多复杂的应变能函数被用来估计心肌的应力-应变关系。和几乎不可压缩的材料，其经历大的变形。这些函数可以有效地拟合来自心肌拉伸试验的体外实验数据。然而，这是很难在体内心肌模型使用这些应变能函数。而且。由于右心室相对较薄且几何形状复杂，迄今为止，这种估计几乎仅在左心室上进行。我们研究小组以前的工作已经成功地估计了左心室和右心室的运动和变形，使用非侵入性标记磁共振成像的数据。在本文中，我们提出了一种新的统计模型来估计在体内材料的属性和应变和应力分布在两个心室，使用这些数据。本文研究了两个正常心脏和两个右室肥厚（RVH）心脏，发现正常志愿者和RVH患者的应变和应力分布有明显差异。与应变能函数法相比，该模型更直观。(C)2003 Elsevier B. V.保留所有权利。
Mechanical properties of the myocardium have been investigated intensively in the last four decades. Many complex strain energy functions have been used to estimate the stress-strain relationship of myocardium because the heart muscle is an inhomogeneous, anisotropic. and nearly incompressible material, which undergoes large deformations. These functions can be effective for fitting in vitro experimental data from myocardial stretch testing. However, it is difficult to model in vivo myocardium using these strain energy functions. Moreover. such estimates have so far been carried out almost exclusively on the left ventricle, because of the relative thinness and complex geometry of the right ventricle. Previous work from our research group has successful estimated the motion and deformation of both the left and the right ventricles, using data from noninvasive tagged magnetic resonance imaging. In this paper, we present a novel statistical model to estimate the in vivo material properties and strain and stress distribution in both ventricles, using such data. Two normal hearts and two hearts with right-ventricular hypertrophy (RVH) were studied and noticeable differences were found between the strain and stress distributions for normal volunteers and RVH patients. Compared to the strain energy function approach, our model is more intuitively understandable. (C) 2003 Elsevier B.V. All rights reserved.