• DocumentCode
    3128481
  • Title

    Hybrid Microwave Tomography Technique for Breast Cancer Imaging

  • Author

    Sabouni, Abas ; Flores-Tapia, Daniel ; Noghanian, Sima ; Thomas, Gabriel ; Pistorius, Stephen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    4273
  • Lastpage
    4276
  • Abstract
    This paper addresses a two-dimensional inverse scattering method with a combination of tomography and radar methods for breast cancer detection. In order to rapidly construct high resolution images displaying the location, size, permittivity and conductivity of malignant tumors inside the body, the collected reflection from the scattered fields present in the scan area is segmented and their associated dielectric property maps are calculated. The dielectric profiles are obtained by using a technique that combines frequency domain finite difference time domain (FD)2TD analysis with genetic algorithm (GA) optimization. The applications of the proposed method can vary from medical imaging to nondestructive testing of materials and structures. The proposed technique yielded promising results when applied to simulated data
  • Keywords
    bioelectric phenomena; biomedical imaging; cancer; electrical conductivity; finite difference time-domain analysis; frequency-domain analysis; genetic algorithms; gynaecology; image reconstruction; image segmentation; medical image processing; microwave imaging; permittivity; radar applications; tomography; tumours; breast cancer imaging; conductivity; dielectric property maps; frequency domain finite difference time domain analysis; genetic algorithm optimization; high-resolution images; hybrid microwave tomography technique; image reconstruction; image segmentation; malignant tumors; microwave radar method; permittivity; two-dimensional inverse scattering method; Breast cancer; Dielectrics; High-resolution imaging; Inverse problems; Microwave imaging; Microwave theory and techniques; Radar detection; Radar imaging; Radar scattering; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260615
  • Filename
    4462745