• DocumentCode
    2710014
  • Title

    Microwave tomography of high dielectric contrast objects. Gradient method in two-dimensional approach

  • Author

    Arefiev, Viktor S. ; Starostin, Andrey N. ; Semenov, Serguei Y. ; Taran, Michael D. ; Svenson, Robert H. ; Sizov, Yuri E. ; Nazarov, Alexei G. ; Tatsis, George P.

  • Author_Institution
    Laser & Appl. Technol. Lab., Carolinas Med. Center, Charlotte, NC, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    30 Oct-2 Nov 1997
  • Firstpage
    857
  • Abstract
    A new reconstruction algorithm in the microwave tomography problem for objects with high contrast in dielectrical properties is proposed. The algorithm is based on approaches developed in an area of control optimization. Generalization and development of these approaches into the non-linear case leads to a refusal of the strong restriction on low contrast in microwave tomography. The algorithm was applied in a two-dimensional (2D) case under parabolic approximation. Successful image reconstruction of 2D mathematical models and physical phantoms placed into a 2D microwave tomographic system with high contrast in dielectric properties were demonstrated
  • Keywords
    dielectric properties; image reconstruction; medical image processing; microwave imaging; 2D mathematical models; control optimization; gradient method; high contrast; high dielectric contrast objects; low contrast; medical diagnostic imaging; microwave tomography; parabolic approximation; physical phantoms; reconstruction algorithm; two-dimensional approach; Biomedical imaging; Boundary conditions; Dielectrics; Equations; Gradient methods; Image reconstruction; Inverse problems; Optimal control; Permittivity; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-4262-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.1997.757795
  • Filename
    757795