New Image Reconstruction Algorithm for Capacitively Coupled Electrical Resistance Tomography

As a new electrical tomography technique, capacitively coupled electrical resistance tomography (CCERT) has been recently proposed and investigated. Currently, the research works on image reconstruction algorithms for CCERT are still very limited. In this paper, a new image reconstruction algorithm for CCERT is proposed with the combination of the famous Levenberg-Marquardt (L-M) method and the simultaneous algebraic reconstruction technique (SART). The L-M method is used to obtain an initial reconstructed image. The SART is applied to obtain the final reconstructed image. With a 12-electrode CCERT system, the new image reconstruction algorithm is examined by simulations and experiments, respectively. Both the simulation results and the experimental results show that the images reconstructed by the new image reconstruction algorithm are satisfactory and are in accord with the actual distribution of the two-phase flows. Compared with the conventional image reconstruction algorithms for CCERT, the new image reconstruction algorithm can obtain better reconstructed images.