Stanley P C, Pilkington T C, Morrow M N, Ideker R E
Department of Biomedical Engineering, Duke University, Durham, NC 27706.
IEEE Trans Biomed Eng. 1991 Nov;38(11):1069-76. doi: 10.1109/10.99070.
This paper assesses the effectiveness of including variable thickness and fiber orientation characteristics of the skeletal muscle layer in calculations relating epicardial and torso potentials. A realistic model of a canine torso which includes extensive detail about skeletal muscle layer thickness and fiber orientation is compared with two other uniformly anisotropic models: one of constant thickness and the other of variable thickness. First, transfer coefficients are calculated from the model data. Then torso potentials for each model are calculated from the transfer coefficients and measured epicardial potentials. The comparison of calculated and observed torso potentials indicates that a simple model consisting of a uniformly anisotropic skeletal muscle layer of 1.0-1.5 cm constant thickness significantly improves the model. However, if photographic slices of the canine torso are used to introduce more detailed data about the variation in skeletal muscle thickness and fiber orientation into the model, the agreement and between calculated and measured torso potentials decreased, although a finite element mesh of over 5000 nodes was used to describe the skeletal muscle in the more detailed model. One source of error increase was considered to be due to numerical discretization and could be reduced with a much finer mesh or by utilizing higher order polynomials to represent the potential distribution within each finite element. However, the results presented in this paper show that high precision computation (64-bit word length) on the mainframe IBM 3081 with an attached FPS-164 gives a slow rate of improvement with reduced discretization intervals and that utilizing higher order polynomials within each finite element gives an even slower rate of improvement.(ABSTRACT TRUNCATED AT 250 WORDS)
本文评估了在计算心外膜和躯干电位时纳入骨骼肌层可变厚度和纤维取向特征的有效性。将一个包含骨骼肌层厚度和纤维取向详细信息的犬类躯干真实模型与另外两个均匀各向异性模型进行比较:一个是恒定厚度模型,另一个是可变厚度模型。首先,根据模型数据计算传递系数。然后,根据传递系数和测量的心外膜电位计算每个模型的躯干电位。计算得到的和观测到的躯干电位的比较表明,一个由厚度为1.0 - 1.5厘米的均匀各向异性骨骼肌层组成的简单模型显著改进了模型。然而,如果使用犬类躯干的照片切片将关于骨骼肌厚度和纤维取向变化的更详细数据引入模型,尽管在更详细的模型中使用了超过5000个节点的有限元网格,但计算得到的和测量得到的躯干电位之间的一致性却降低了。误差增加的一个来源被认为是由于数值离散化,可以通过使用更精细的网格或利用高阶多项式来表示每个有限元内的电位分布来减少。然而,本文给出的结果表明,在配备FPS - 164的IBM 3081主机上进行高精度计算(64位字长),随着离散化间隔的减小,改进速度缓慢,并且在每个有限元内使用高阶多项式时改进速度更慢。(摘要截短于250字)