RESUMO
Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution of measured field owing to its characteristics of being non-homogeneous, of injecting current at the boundary of the measured subject,of measuring the.corresponding changes in voltage, and of reconstructing the image of the subject consequently. However, the limited measurement data of EIT, and the serious nonlinearity of the field result in ill-posed problem, and the resolution of reconstructed image is poor. To solve the problem, a new hybrid algorithm is herein proposed. The method combines the characteristics of Krylov subspace and Tikhonov regularization, which can improve the real time performance, the quality and robustness of reconstructed image.