A compressive sensing approach for enhancing breast cancer detection using a hybrid DBT/NRI configuration

Abstract

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 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.

Keywords:

• Breast cancer detection
•   microwave imaging
•   compressive sensing
•   convex optimization

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work has been funded by the U.S. National Science Foundation [grant number 1347454]. This work is also supported in part by the Massachusetts Technology Transfer Center (MTTC).