  This work presents a novel breast cancer imaging approach that uses
compressive sensing in a hybrid Digital Breast Tomosynthesis (DBT) / Nearfield
Radar Imaging (NRI) system configuration. The non-homogeneous tissue
distribution of the breast, described in terms of dielectric constant and
conductivity, is extracted from the DBT image, and it is used by a full-wave
Finite Difference in the Frequency Domain (FDFD) method to build a linearized
model of the non-linear NRI imaging problem. The inversion of the linear
problem is solved using compressive sensing imaging techniques, which lead to a
reduction on the required number of sensing antennas and operational bandwidth
without loss of performance.
