• DocumentCode
    2773442
  • Title

    Hybrid binary-real GA for microwave breast tomography

  • Author

    Sabouni, Abas ; Ashtari, Ali ; Noghanian, Sima ; Thomas, Gabriel ; Pistorius, Stephen

  • Author_Institution
    Univ. of Manitoba, Winnipeg, MB
  • fYear
    2008
  • fDate
    5-11 July 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The recent information about breast tissue properties presented in [1] was used to design a new inverse scattering method for the application of breast imaging. The proposed method uses the combination of real and binary GAs which reduces the computational cost. The binary GA was used for the discrete search space that only finds the type of the tissue and real GA was used to find the water content percentage which covers a domain of real variables. The method was tested on a simulated example and showed promising results. Future studies will be performed to verify this method with experimental data.
  • Keywords
    genetic algorithms; medical image processing; microwave imaging; tomography; breast imaging; breast tissue properties; discrete search space; hybrid binary-real GA; microwave breast tomography; Breast tissue; Cancer; Dielectric measurements; Dispersion; Electromagnetic scattering; Imaging phantoms; Inverse problems; Microwave imaging; Microwave theory and techniques; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2008. AP-S 2008. IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-2041-4
  • Electronic_ISBN
    978-1-4244-2042-1
  • Type

    conf

  • DOI
    10.1109/APS.2008.4619674
  • Filename
    4619674