We present a new distorted Born iterative algorithm for diffraction tomography which introduces kernel distortions only at carefully selected pixel loels achieved by existing distorted Born iterative techcations. This algorithm attains the performance levniques, while maintaining the robustness of the Born dition, the algorithn~ has lower computationalcomplexiterative technique, especially in noisy situations. In adisting distorted Born iterative algorithms. We present ity and faster convergence rate when compared with ex-numerical simulations of the algorithm in noisy and noise-free environments. We also discuss an elemenour tomographic imaging algorithms.tary experimental setup which is being used to validat,e
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