基于成像域无网格离散化的介质目标重建

R. Gao, Z. Su, M. Tong
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引用次数: 1

摘要

利用积分方程方法重建介质物体,需要在Born迭代法(BIM)或畸变BIM (DBIM)框架下交替求解正向散射积分方程(FSIE)和逆散射积分方程(ISIE)。由于需要在成像域上进行大量的体积积分计算,求解FSIE是非常繁琐的。在这项工作中,我们使用一种新的无网格格式来简化FSIE解中体积积分的计算,从而加快重建速度。无网格方案通过格林-高斯定理将体积积分在成像域中正则化后转化为边界积分,无需对成像域进行体积离散化。采用乘性正则化方法(MRM)求解高斯-牛顿最小化方法(GNMA)。给出了一个典型的数值算例,验证了该方法的有效性。
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Reconstruction of Dielectric Objects Based on Meshless Discretization of Imaging Domain
Reconstruction of dielectric objects by integral equation approach requires to alternatively solve the forward scattering integral equation (FSIE) and inverse scattering integral equation (ISIE) in the frame of Born iterative method (BIM) or distorted BIM (DBIM). Solving the FSIE is very tedious because an intensive calculation of volume integrals over imaging domain is required. In this work, we use a novel meshless scheme to simplify the calculation of volume integrals in the solution of FSIE so that the reconstruction can be accelerated. The meshless scheme changes the volume integrals into boundary integrals through the Green-Gauss theorem after the integrands are regularized in the imaging domain and the volumetric discretization of the imaging domain is not necessary. The ISIE is solved by the Gauss-Newton minimization approach (GNMA) with the multiplicative regularization method (MRM). A typical numerical example is presented to demonstrate the inversion approach and good results have been obtained.
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