• DocumentCode
    1521368
  • Title

    Computational modeling of three-dimensional microwave tomography of breast cancer

  • Author

    Bulyshev, Alexander E. ; Semenov, Serguei Y. ; Souvorov, Alexandre E. ; Svenson, Robert H. ; Nazarov, Alexei G. ; Sizov, Yuri E. ; Tatsis, George P.

  • Author_Institution
    Laser & Appl. Technol. Lab., Carolinas Med. Center, Charlotte, NC, USA
  • Volume
    48
  • Issue
    9
  • fYear
    2001
  • Firstpage
    1053
  • Lastpage
    1056
  • Abstract
    The microwave tomographic approach is proposed to detect and image breast cancers. Taking into account the big difference in dielectrical properties between normal and malignant tissues, the authors have proposed using the microwave tomographic method to image a human breast. Because of the anatomical features of the objects, this case has to be referred to the tomography with a limited angle of observation. As a result of computer experiments the authors have established that multiview cylindrical configurations are able to provide microwave tomograms of the breast with a small size tumor inside. Using the gradient method, the authors have developed a computer code to create images of the three-dimensional objects in dielectrical properties on microwave frequencies.
  • Keywords
    cancer; dielectric properties; mammography; microwave imaging; physiological models; tumours; breast cancer; computational modeling; dielectrical properties; malignant tissues; medical diagnostic imaging; multiview cylindrical configurations; normal tissues; three-dimensional microwave tomography; Breast cancer; Breast neoplasms; Cancer detection; Computational modeling; Dielectrics; Gradient methods; Humans; Microwave frequencies; Microwave theory and techniques; Tomography; Algorithms; Breast Neoplasms; Female; Humans; Image Processing, Computer-Assisted; Mathematical Computing; Microwaves; Models, Anatomic;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.942596
  • Filename
    942596