The exploitation of multiple MR measurements for diagnosis support

Within this manuscript a new application of Compressive Sensing (CS) in Magnetic Resonance Imaging field with the aim of jointly exploit multiple measurements is presented. At the present, in literature CS is exploited in order to allow image formation from a non fully sampled k-space signals, greatly reducing the acquisition time. What we propose is the exploitation of CS for achieving the so called super-resolution, i.e. the possibility of distinguish anatomical structures smaller than the spatial resolution of the image. In particular, the proposed Intra Voxel Analysis (IVA) technique, by combining different acquisition with standard resolution, is able to estimate contributions from different tissues inside the same voxel.