A Bayesian approach based on modified Markov random fields for microwave tomography

The application of a Markov random field (MRF) based maximum a posteriori (MAP) estimation method for microwave imaging, in a non-linear framework, is presented. The adopted MRF family is characterized by a quadratic energy function, and is "modified" such that it statistically represents complex profiles. This approach simultaneously allows, in many cases, well posedness and robustness against local minima occurrence.