Abstract
ABSTRACT Image reconstruction in electrical impedance tomography (EIT) is a highly ill-posed, non-linear inverse problem. A newregularization method based on the spatial filtering theory to reconstruct the impedance distribution in EIT is proposed inthis paper. The new regularized reconstruction for EIT is independent on the estimation of impedance distribution, so itachieves a lower implementation complexity than the maximum a posteriori (MAP) regularization method. Theregularization level in our new method varies spatially so as to be suited to the correlation character of the object'simpedance distribution. The computer simulation results indicate that the regularization method based on the spatial filteringtheory performs better than Tikhonov regularization method in solving the ill-posed problem of dynamic EIT.Key Word : Image reconstruction, regularization, ill-posed, electrical im pedance tomography, inverse problem. 1. INTRODUCTION Electrical impedance tomography (EIT) reconstructs an impedance (resistivity, conductivity) distribution or changes bymaking electrical measurements on the object's periphery
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