Compound Radar Approach for Breast Imaging

Dallan B Byrne, Mantalena Sarafianou, Ian J Craddock

Research output: Contribution to journalArticle (Academic Journal)peer-review

63 Citations (Scopus)
833 Downloads (Pure)


Multistatic radar apertures record scattering at a number of receivers when the target is illuminated by a single transmitter, providing more scattering information than its monostatic counterpart per transmission angle. This paper
considers the well-known problem of detecting tumour targets within breast phantoms using multistatic radar. To accurately image potentially cancerous targets size within the breast, a significant number of multistatic channels are required in order to adequately calibrate-out unwanted skin reflections, increase
the immunity to clutter and increase the dynamic range of a breast radar imaging system. However, increasing the density of antennas within a physical array is inevitably limited by the geometry of the antenna elements designed to operate with biological tissues at microwave frequencies.
A novel compound imaging approach is presented to overcome these physical constraints and improve the imaging capabilities of a multistatic radar imaging modality for breast scanning applications. The number of transmit-receive (TX-RX) paths available for imaging are increased by performing a number of breast scans with varying array positions. A skin calibration method is presented to reduce the influence of skin reflections from each channel. Calibrated signals are applied to a receive beamforming method, compounding the data from each scan to produce a microwave radar breast profile.
The proposed imaging method is evaluated with experimental data, obtained from constructed phantoms of varying complexity, skin contour asymmetries, and challenging tumour positions and sizes. For each imaging scenario outlined in this study, the proposed compound imaging technique improves skin calibration, clearly detects small targets and substantially reduces the level of undesirable clutter within the profile.
Original languageEnglish
Pages (from-to)40-51
Number of pages12
JournalIEEE Transactions on Biomedical Engineering
Issue number1
Early online date1 Mar 2016
Publication statusPublished - Jan 2017

Structured keywords

  • Digital Health


  • Multistatic radar
  • Radar imaging
  • Microwave imaging
  • Cancer detection
  • Medical diagnostic imaging
  • Calibration
  • Digital Health


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