Electric Field Tomography Based on SART Algorithm

Abstract

At the beginning of the 21st century, Russian scientist Korjenevsky proposed a contactless electrical impedance tomography, Electric Field Tomography which successively applies the alternating voltage source through the transmitting electrode that is not in contact with the goal object and other receiving electrodes obtain information of phase shift. The resistivity distribution of the goal object is imaged by solving the inverse problem of reconstruction. Korjenevsky used the method of back projection to reconstruct the image using the collected information, but the quality of image needs to be improved. In this paper, Simultaneous Algebraic Reconstruction Technique (SART) is used to solving the inverse problem of reconstruction. The SART algorithm has good anti-interference to noise, and can also reconstruct high-quality reconstruction image in the case of less data. The reconstructed image is evaluated by three indexes: Image Entropy, Root Mean Square Error and Position Error. The results of indexes show that the reconstructed image can reflect the resistivity distribution and the Root Mean Square Error of the reconstructed image is small. The application of SART algorithm in image reconstruction of Electric Field Tomography has good feasibility.