Discretization error based mesh generation for diffuse optical tomography

M. Guven, B. Yazıcı, Kiwoon Kwon, E. Giladi
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引用次数: 1

Abstract

In this paper, we analyze the perturbation in the reconstructed optical absorption images, resulting from the discretization of the forward and inverse problems. We show that the perturbation due to each problem is a function of both the forward and inverse problem solutions and can be reduced by proper refinement of the discretization mesh. Based on the perturbation analysis, we devise an adaptive discretization scheme for forward and inverse problems, which reduces the perturbation on the reconstructed image. Such a discretization scheme leads to an adaptively refined composite mesh sufficient to approximate the forward and inverse problem solutions within a desired level of accuracy while keeping the computational complexity within the computational power limits
基于离散化误差的漫射光学层析成像网格生成
本文分析了由于正反问题离散化所引起的重构光学吸收图像中的摄动。我们表明,由于每个问题的扰动是一个函数的正解和反解的问题,并可以减少适当的细化离散网格。在摄动分析的基础上,设计了一种针对正逆问题的自适应离散化方案,减少了对重构图像的摄动。这种离散化方案导致自适应细化的复合网格足以在期望的精度水平内逼近问题的正解和逆解,同时将计算复杂度保持在计算能力限制内
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