Abstract

A novel approach to the quantitative image reconstruction in diffuse optical tomography is proposed. The special structure of the transport equation is used to formulate the iterative image reconstruction algorithm as a process updating the estimates of the optical properties from the solution of an intermediate tomographic problem The ability of the technique to reconstruct simultaneously maps of both absorption and reduced scattering coefficients in 2D geometry is demonstrated using simulated frequency-domain data. The potential advantages of the new approach include its ability to fully retain the non-linear character of the inverse problem while at the same time avoiding either gradient or Jacobian calculations and eliminating the need in an additional regularization mechanism.

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