Abstract
A new inversion algorithm for reconstructing electrical property distributions of lossy cylindrical objects by means of time-domain data is presented. The algorithm is based on iterative solutions of an optimization process with an edge preserving regularization. The finite-difference time-domain (FDTD) method is used effectively as forward and backward solvers in each iteration. Numerical simulations are carried out to show the feasibility of detecting tumors with this reconstruction algorithm.
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