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Time-domain Wideband Adaptive Beamforming for Radar Breast Imaging

  • D. Byrne
  • , I. Craddock

Research output: Contribution to journal › Article (Academic Journal) › peer-review

88 Citations (Scopus)

Abstract

A novel wideband microwave radar imaging method is presented to detect regions of significant dielectric contrast within the breast. Clutter reduction is paramount to any radar imaging algorithm, especially with clinical patient data where the tissue composition of the breast is inhomogeneous. Time-domain Data-Adaptive imaging methods have been previously applied in a narrowband manner for microwave radar breast imaging when the received signal spectral content was wideband. In this study, a wideband time-domain adaptive imaging approach is presented to perform Data-Adaptive focusing across the spectrum to reduce clutter. An equalisation filter is adapted to compensate for the propagation distortion through tissue using a calculated estimate of the average dielectric properties of the breast. The effectiveness of the proposed wideband adaptive imaging approach is evaluated in conjunction with the Delay-And-Sum (DAS) method using numerical, experimental and clinical data. Target scatterers are clearly detected while clutter levels are reduced significantly, between 4 and 6 dB, when compared to the DAS technique.
Original languageEnglish
Pages (from-to)1725-1735
Number of pages11
JournalIEEE Transactions on Antennas and Propagation
Volume63
Issue number4
Early online date29 Jan 2015
DOIs
Publication statusPublished - Apr 2015

Research Groups and Themes

  • Digital Health
  • SPHERE

Keywords

  • Arrays,Biomedical Radar Imaging,Breast,Imaging,Vectors,Wideband,beamforming,microwave imaging,radar imaging,skin

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  • Less Becomes More for Microwave Imaging: Design and Validation of an Ultrawide-Band Measurement Array

    Byrne, D., Craddock, I., Gibbins, D., Monsalve, B. & Henriksson, T., Oct 2017, In: IEEE Antennas and Propagation Magazine. 59, 5, p. 72-85 14 p.

    Research output: Contribution to journal › Article (Academic Journal) › peer-review

    Open Access
    File
    20 Citations (Scopus)
    480 Downloads (Pure)
  • An Introduction to Microwave Imaging for Breast Cancer Detection

    Byrne, D., 2016, Springer International Publishing: Biological and Medical Physics, Biomedical Engineering. 1 ed. Vol. 1. p. 47-73 1

    Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • SPHERE (EPSRC IRC)

    Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)

    1/10/13 → 30/09/18

    Project: Research, Parent

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