Currently available image reconstruction schemes for photon migration tomography are mostly based on the limiting assumptions of small perturbations and a priori knowledge of the optical properties of a reference medium. In this work a model-based iterative image reconstruction (MOBIIR) method is presented, which does not require the knowledge of a reference medium or that the encountered heterogeneities are small perturbations. After a description of the major code structure and a review of the mathematical background, the clinically relevant examples of brain imaging and breast cancer detection are discussed. It is shown that vetricular bleedings in the brain can be detected and that cysts and tumors in the breast can the distinguished using the MOBIIR technique.
Keywords: tomographic image processing, image reconstruction techniques, medical and biological imaging, time-resolved imaging, turbid media
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