• DocumentCode
    1857973
  • Title

    On the Accurate Modeling of a Complex Antenna for Breast Tumor Detection Using a Hybrid MOM/FDTD Approach

  • Author

    Padhi, S. ; Feng Liu ; Bing Keong Li ; Shuley, N. ; Crozier, S.

  • Author_Institution
    Univ. of Queensland, St. Lucia
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    6636
  • Lastpage
    6639
  • Abstract
    Accurate, computationally intensive numerical algorithms have become necessary to handle the increasing complexity of electromagnetic problems in biological applications. In this work, a high performance hybrid- MoM/FDTD approach is presented for electromagnetic analysis and design applications in microwave breast tumor detection. The proposed algorithm is based on Huygen´s equivalent surface methods. The simulation study of a bow-tie antenna-breast phantom interaction demonstrates the efficacy of the proposed algorithm and suggests that, with further development, this hybrid scheme would be a useful tool in the continued development of microwave imaging for breast cancer.
  • Keywords
    biological organs; cancer; finite difference time-domain analysis; mammography; microwave imaging; phantoms; tumours; Huygen equivalent surface method; biological application; bow-tie antenna-breast phantom interaction; complex antenna modeling; electromagnetic analysis; electromagnetic problem; hybrid MoM-FDTD approach; microwave breast tumor detection; microwave imaging; Biological system modeling; Biology computing; Breast tumors; Electromagnetic analysis; Finite difference methods; Imaging phantoms; Message-oriented middleware; Microwave antennas; Microwave imaging; Time domain analysis; Algorithms; Breast Neoplasms; Diagnostic Imaging; Electromagnetic Phenomena; Female; Humans; Models, Theoretical; Phantoms, Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353881
  • Filename
    4353881