• DocumentCode
    1177885
  • Title

    Conformal microwave imaging for breast cancer detection

  • Author

    Li, Dun ; Meaney, Paul M. ; Paulsen, Keith D.

  • Author_Institution
    Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA
  • Volume
    51
  • Issue
    4
  • fYear
    2003
  • fDate
    4/1/2003 12:00:00 AM
  • Firstpage
    1179
  • Lastpage
    1186
  • Abstract
    An important feature of our Gauss-Newton iterative scheme for microwave breast image reconstruction is that only the heterogeneous target zone within the antenna array is represented using the finite-element method, while the surrounding homogeneous coupling medium is modeled with the boundary-element (BE) method. The interface between these two zones may be arbitrary in shape and position with the restriction that the BE region contains only the homogeneous coupling liquid. In this paper, we demonstrate through simulation and phantom experiments, as well as in patient examinations, that the detection of tumor inclusions can be enhanced as the target zone approaches the exact breast perimeter. It is also shown that central artifacts that often appear in the reconstructed images that may potentially confound the ability to distinguish benign and malignant conditions have also been reduced.
  • Keywords
    boundary-elements methods; cancer; finite element analysis; image reconstruction; iterative methods; medical image processing; microwave imaging; tumours; BEM; Gauss-Newton iterative scheme; antenna array; background contrast; benign conditions; boundary-element method; breast cancer detection; central artifacts; conformal mesh; conformal microwave imaging; finite-element method; heterogeneous target zone; homogeneous coupling medium modeling; malignant conditions; microwave breast image reconstruction; patient examinations; phantom experiments; reconstructed images; simulation; tumour inclusions; Breast cancer; Cancer detection; Computer vision; Image reconstruction; Iterative methods; Least squares methods; Microwave antenna arrays; Microwave imaging; Newton method; Recursive estimation;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2003.809624
  • Filename
    1193128