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Nonlinear corrections for inversion formulas in optical diffusion tomography

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Abstract

We propose a new image reconstruction algorithm for solving the nonlinear inverse problem of optical diffusion tomography. The algorithm is based on the analytic construction of the pseudo-inverse operator for the linearized problem which is then used to obtain nonlinear corrections to arbitrary order. The method is illustrated with numerical simulations.

© 2001 Optical Society of America

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