Exploiting Markov random fields in Microwave tomography

3D microwave tomography is an ill-posed and nonlinear inverse problem whose reconstruction performances may be impaired from the complexity of the scenario to be considered in the real world applications. The joint adoption of convenient regularization schemes and a suitable rewriting and linearization of the pertinent scattering model can allow to achieve satisfactory solutions in many cases of practical interest. In this communication, an innovative inversion approach which takes definite advantage from the joint use of the linearized contrast source-extended Born model (CS-EB), and from a Markov random field (MRF) based regularization scheme is proposed.