Dynamic EIT image reconstruction using regularization based on conjugate gradients

Abstract

In order to solving the illness problem and improving the quality of the reconstructed image in dynamic Electrical Impedance Tomography (EIT), this paper proposes a method of image reconstruction using the conjugate gradients (CG) algorithm with regularized pre-processing factors. As the number of condition in coefficient matrix is decreased, the algorithm will have more rapid convergence. The imaging result of computer simulation and salt water tank experiment has shown that when the impedance change is small in dynamic EIT imaging, certain accuracy can be guaranteed in EIT result approximation using this method.