An Image Reconstruction Algorithm Based on Tikhonov Regularization in Electromagnetic Tomography

An image reconstruction algorithm based on Tikhonov Regularization algorithm is studied in this paper to improve the accuracy of online image reconstruction in Electromagnetic Tomography (EMT) systems. The method of least squares is employed to reduce the error aroused in the linear approximation of the nonlinear inverse problem. To overcome the ill-posedness, Tikhonov Regularization is introduced to optimize the algorithm. Simulation results have shown the pros and cons of the proposed algorithm, compared with the LBP algorithm.