• DocumentCode
    1221642
  • Title

    Scattering and Absorption Efficiencies for Nonspherical Dielectric Objects-Biological Models

  • Author

    Barber, Peter W.

  • Author_Institution
    Department of Bioengineering and the Department of Electrical Engineering, University of Utah
  • Issue
    2
  • fYear
    1978
  • fDate
    3/1/1978 12:00:00 AM
  • Firstpage
    155
  • Lastpage
    159
  • Abstract
    The Extended Boundary Condition Method (EBCM) is used to calculate electromagnetic scattering and absorption efficiencies (cross sections normalized to the geometric shadow area) for nonspherical objects composed of dissipative dielectric material. The technique is applicable to homogeneous and isotropic objects with electrical size weli into the resonance region. The Forward Amplitude Theorem is used to determine the absorption efficiency from the scattered field. The capabilities of the method are demonstrated by making numerical calculations for a lossy prolate spheroid representing a 0.32 kg rat, a commonly used laboratory animal in microwave biological effects research. Numerical results show the dependence of the efficiencies on the electrical size of the model and the angle of incidence of the arriving wave. Polar plots of the differential cross section give the spatial distribution of the scattered radiation. The specific results generated here should be useful in the design of microwave biological effects experiments and in the interpretation of laboratory results.
  • Keywords
    Animals; Biological system modeling; Boundary conditions; Dielectric materials; Electromagnetic scattering; Electromagnetic wave absorption; Laboratories; Microwave generation; Microwave theory and techniques; Resonance; Absorption; Animals; Electromagnetics; Mathematics; Models, Biological; Rats; Scattering, Radiation;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1978.326241
  • Filename
    4122798