• DocumentCode
    2046922
  • Title

    Time Reversal Beamforming for Microwave Breast Cancer Detection

  • Author

    Jin, Yuanwei ; Jiang, Yi ; Moura, José M F

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh
  • Volume
    5
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Microwave radiation is well known as a diagnostic imaging method for many medical applications, for example, early stage breast cancer detection. Microwave detection of breast tumors is a non-ionising, potentially low cost, in vivo modality that relies on the dielectric contrast between healthy and malignant breast tissues. The scattering environment in a breast often appears to be inhomogeneous due to changing dielectric properties of the breast tissues. Time reversal (TR) is an adaptive waveform transmission scheme that utilizes the rich scattering medium to best match to the target response. In this paper, we develop the microwave time reversal beamformer for breast tumor detection. The TR beamforming scheme is examined based upon a breast model using the two-dimensional finite-difference time-domain (FDTD) method. We show that time reversal microwave beamforming is a more robust, higher resolution imaging scheme than conventional beamforming schemes.
  • Keywords
    cancer; finite difference time-domain analysis; gynaecology; image resolution; medical image processing; microwave imaging; object detection; tumours; finite-difference time-domain method; image resolution; malignant breast tissues; medical diagnostic imaging method; microwave breast cancer detection; time reversal beamforming; Array signal processing; Breast cancer; Breast tissue; Breast tumors; Cancer detection; Dielectrics; Finite difference methods; Microwave imaging; Scattering; Time domain analysis; Biomedical imaging; Microwave imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379755
  • Filename
    4379755