The Modified Landweber Iteration Algorithm in the Reconstruction of Electromagnetic Tomography Image Reconstruction

被引：0
|
作者：
Liu X. [1 ]
Liu Z. [1 ]
Zhu S. [1 ]
机构：
[1] School of Electronic and Information Engineering, Beijing Jiaotong University, Haidian District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 13期
基金：
中国国家自然科学基金;
关键词：
Electromagnetic tomography; Image reconstruction; Inverse problem; Modified Landweber; Regularization;
D O I：
10.13334/j.0258-8013.pcsee.172091
中图分类号：
学科分类号：
摘要：
The imaging speed and accuracy of image reconstruction algorithms in electromagnetic tomography are the keys to its application in industries. Landweber iteration algorithm is the most widely used iteration algorithm for image reconstruction of electromagnetic tomography, but it needs many iterations and has slow speed of convergence. A modified Landweber iteration algorithm was proposed through appending an additional regularization term into the constructed objective functional of the inverse problem of electromagnetic tomography and adopting adaptive weight coefficient method, which improves the speed of convergence and the quality of reconstructed image efficiently. Sensitivity matrix was obtained by using finite element method (FEM), which was conducted in Maxwell for the simulation of the forward problem of electromagnetic tomography. Both the simulation and numerical experiments results show that modified Landweber iteration algorithm is superior to Landweber iteration algorithm in the speed of convergence and quality of reconstructed image. © 2019 Chin. Soc. for Elec. Eng.
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页码：3971 / 3979
页数：8
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