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Dell’Aversano, Angela

https://orcid.org/0000-0001-6675-7290

Mayo Clinic

University of Campania "Luigi Vanvitelli"

Citations 1

Incoherent Radar Imaging for Breast Cancer Detection and Experimental Validation against 3D Multimodal Breast Phantoms
Cuccaro, Antonio , Dell’Aversano, Angela , Ruvio, Giuseppe , Browne, Jacinta E. , Solimene, Raffaele , Browne, Jacinta

Journal of Imaging | February 1, 2021 | Volume: 7 | Issue: 2 | Pages: 23

10.3390/jimaging7020023 Get It

In this paper we consider radar approaches for breast cancer detection. The aim is to give a brief review of the main features of incoherent methods, based on beam-forming and Multiple SIgnal Classification (MUSIC) algorithms, that we have recently developed, and to compare them with classical coherent beam-forming. Those methods have the remarkable advantage of not requiring antenna characterization/compensation, which can be problematic in view of the close (to the breast) proximity set-up usually employed in breast imaging. Moreover, we proceed to an experimental validation of one of the incoherent methods, i.e., the I-MUSIC, using the multimodal breast phantom we have previously developed. While in a previous paper we focused on the phantom manufacture and characterization, here we are mainly concerned with providing the detail of the reconstruction algorithm, in particular for a new multi-step clutter rejection method that was employed and only barely described. In this regard, this contribution can be considered as a completion of our previous study. The experiments against the phantom show promising results and highlight the crucial role played by the clutter rejection procedure.