Super-resolution radar imaging for breast cancer detection with microwaves: the integrated information selection criteria

Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:1868-1874. doi: 10.1109/EMBC.2019.8857924.

Abstract

This paper focuses on the data preprocessing scheme, as well as on the frequency selection and spatial filtering modules integrated with a Time-Reversal Multiple Signal Classification (TR-MUSIC) algorithm, for microwave breast imaging. This algorithm is part of the data processing chain of the Wavelia Microwave Breast Imaging (MBI) system prototype, which has been recently installed at the University Hospital of Galway, Ireland, for a first-in-human clinical trial. Indicative results from application of the algorithm on an experimental phantom dataset, and on a first patient dataset, are presented in this paper. Good correspondence between the two datasets is demonstrated, confirming the validity of the experimental setup used so far for the on-site acceptance of the Wavelia system, after installation at the hospital for clinical testing.

MeSH terms

  • Algorithms
  • Breast / diagnostic imaging*
  • Breast Neoplasms / diagnostic imaging*
  • Humans
  • Microwaves*
  • Phantoms, Imaging
  • Radar*