• 论文 •

优化Landweber迭代快速电磁层析成像图像重建算法

1. 北京交通大学 电子信息工程学院, 北京 100044
• 收稿日期:2020-06-20 发布日期:2021-09-06
• 通讯作者: 刘泽 E-mail:zliu@bjtu.edu.cn
• 基金资助:
国家自然科学基金（61771041）；北京市自然科学基金（4192045）

Optimized Landweber iterative fast image reconstruction algorithm for electromagnetic tomography

HUO Jiwei, LIU Ze, WANG Yadong, YUAN Wei, WANG Chengfei

1. School of Electronic Information Engineering, Beijing Jiaotong University, Beijing 100044, China
• Received:2020-06-20 Published:2021-09-06
• Supported by:
National Natural Science Foundation of China (61771041); Beijing Municipal Natural Science Foundation (4192045)

Abstract: Due to the pathological property and ill-posedness of sensitivity matrix in Electromagnetic Tomography (EMT), the quality of the reconstructed image is relatively low. To improve the imaging quality and imaging speed, this paper proposes an optimized Landweber iterative fast iteration image reconstruction algorithm. Firstly, dimension reduction algorithm is used to decrease the sensitivity matrix dimension to eliminate the redundant information of sensitivity matrix and reduce the calculation load of each iteration. Secondly, Seeker Optimization Algorithm (SOA) is used to optimize the dimension-reduced sensitivity matrix. This optimization operation can reduce the condition number and improve the morbidity degree of sensitivity matrix. Finally, Landweber iteration algorithm and preprocessed sensitivity matrix are used to reconstruct image. Simulation experimental results show that, under the same experimental conditions, compared with Landweber iteration algorithm, the proposed algorithm increase the quality of reconstructed image and decrease the calculation load of image reconstruction.