Incoherent radar imaging for breast cancer detection and experimental validation against 3d multimodal breast phantoms

Antonio Cuccaro, Angela Dell’aversano, Giuseppe Ruvio, Jacinta Browne, Raffaele Solimene

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article number23
JournalJournal of Imaging
Issue number2
StatePublished - Feb 2021


  • Breast cancer detection
  • Clutter rejection
  • Incoherent imaging
  • Microwave imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering


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