Operator splitting method for solving anisotropic problem

I. Suryo, Maureen Clerc
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Abstract

The electroencephalography is a non-invasive technique to study electrical brain activity. The electrical brain activity is a complex process of electrical propagation because the brain structure is an incredibly complex structure. This complex structure leads to different conductivity property in term of its magnitude and orientation, called anisotropic conductivity. Using Maxwell’s equations, the electrical brain activity has been studied intensively. For simplification, the quasistatic Maxwell’s equations are used to model the electrical brain activity and it leads to deal with a Poisson’s equation. In this research, a feasibility study of using Operator Splitting Method (OSM) to solve anisotropic 2-Dimensional (2D) Poisson’s equation is performed. A freeware of finite element method (FEM) is employed to build matrices used in the OSM algorithm. The OSM algorithm which is written in Matlab is then tested to solve anisotropic 2D Laplace’s equation and anisotropic Poisson’s equation with dipolar source. Some numerical experiments have been performed to test the performance of the OSM algorithm. The OSM solution of anisotropic 2D Laplace’s equation coincide with the exact and direct numerical solution of the problem. For anisotropic 2D Poisson’s equation with dipolar source, some similar results has been obtained too. The pattern of the OSM solutions are similar to the pattern of direct numerical solutions of the problem. The results arise a hope to attempt implementing the OSM algorithm for more complex problem such as a realistic human head model.
求解各向异性问题的算子分裂法
脑电图是一种研究脑电活动的无创技术。脑电活动是一个复杂的电传播过程,因为大脑结构非常复杂。这种复杂的结构导致其电导率的大小和取向不同,称为各向异性电导率。利用麦克斯韦方程组,人们对脑电活动进行了深入研究。为简化起见,采用准静态麦克斯韦方程组来模拟脑电活动,从而导致处理泊松方程。本文研究了用算子分裂法求解各向异性二维泊松方程的可行性。利用有限元软件构建OSM算法中使用的矩阵。然后用Matlab编写了OSM算法,对具有偶极源的各向异性二维拉普拉斯方程和各向异性泊松方程进行了求解。通过数值实验验证了该算法的性能。各向异性二维拉普拉斯方程的OSM解与该问题的精确直接数值解相吻合。对于具有偶极源的各向异性二维泊松方程,也得到了类似的结果。OSM解的模式类似于问题的直接数值解的模式。这些结果为尝试将OSM算法应用于更复杂的问题(如真实的人类头部模型)带来了希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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