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首页> 外文期刊>SIAM Journal on Scientific Computing >NUMERICAL SOLUTION OF A REGULARIZED WEIGHTED MEAN CURVATURE FLOW PROBLEM FOR ELECTRICAL CONDUCTIVITY IMAGING
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NUMERICAL SOLUTION OF A REGULARIZED WEIGHTED MEAN CURVATURE FLOW PROBLEM FOR ELECTRICAL CONDUCTIVITY IMAGING

机译:导电成像的正则加权平均曲率流量问题的数值解

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摘要

We propose a new approach to the numerical solution of a coupled physics inverse conductivity problem underlying current density impedance imaging (CDII), which is one of the coupled physics electrical conductivity imaging modalities which has emerged recently in medical diagnostics. The approach is based on a regularized weighted mean curvature flow problem, which is considered to be a novel mathematical model of CDII. It is an alternative to an existing model based on the weighted least gradient problem relative to the Dirichlet condition. A numerical study is performed to demonstrate the consistency and computational feasibility of the regularized weighted mean curvature model presented.
机译:我们提出了一种新的方法对电流密度阻抗成像(CDII)的耦合物理逆导电性问题的数值解的新方法,该方法是最近在医学诊断中出现的耦合物理电导率成像模拟之一。 该方法基于正则化的加权平均曲率问题,被认为是CDII的新数学模型。 它是基于相对于Dirichlet条件的加权最小梯度问题的现有模型的替代方案。 执行数值研究以证明所呈现的正则化加权平均曲率模型的一致性和计算可行性。

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