Innovative methodologies for chest medical imaging

Two innovative methodologies for human chest medical imaging are presented. The former technique allows to predict the air/liquid content of human lungs with real-time performance starting from data acquired in a 3D electrical impedance tomography (EIT) probing scenario. On the other hand, the second approach is aimed at solving the microwave inverse scattering (IS) problem through an innovative double-differential imaging method allowing to jointly exploit spatial and temporal a-priori information on the diagnosed patient. Illustrative numerical examples are shown to assess the effectiveness of both approaches.