Fast Electromagnetic Tomography Image Reconstruction Algorithm Based on Dimension Reduction Technique

Abstract

Electromagnetic tomography systems that used in many industrial fields require high speed of image reconstruction. In this paper, a fast image reconstruction algorithm of electromagnetic tomography is proposed. For this method, firstly, the dimension of the sensitivity matrix is decreased through retention of principal component. Then, the distribution image is reconstructed by using traditional or improved reconstruction algorithm. This method can eliminate the redundant information of sensitivity matrix with little loss of feature information of sensitivity matrix. The simulation and experiment results show that compare with traditional image reconstruction algorithm (including iterative algorithm and single step algorithm), the proposed algorithm has significant advantage of imaging speed. The quality of reconstructed image that using traditional algorithm and reconstructed image that using proposed algorithm are almost same.