• DocumentCode
    1281775
  • Title

    Multicriterion Compton backscatter imaging

  • Author

    Chen, Peng ; Wang, Y.

  • Author_Institution
    Dept. of Life Sci. & Biomed. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    143
  • Issue
    6
  • fYear
    1996
  • fDate
    11/1/1996 12:00:00 AM
  • Firstpage
    357
  • Lastpage
    361
  • Abstract
    A Compton backscatter tomographical imaging model with minimal constraints imposed on the measurement apparatus is presented as a potential contender for on-line portable imaging. The line-scan method based on scattered photon energy spectra can obtain a fairly high scan speed and spatial resolution. As such, radiation scattering imaging (or density reconstruction) is viewed as a nonlinear inverse problem. A solution algorithm is investigated for the density reconstruction problem with two criteria: maximum entropy and least-squares between the original measurement data projection due to reconstruction. Image reconstruction from simulations demonstrates the feasibility of the method
  • Keywords
    Compton effect; backscatter; computerised tomography; gamma-ray applications; image reconstruction; inverse problems; least squares approximations; maximum entropy methods; Compton backscatter tomographical imaging model; density reconstruction; image reconstruction; least-squares; line-scan method; maximum entropy; multicriterion Compton backscatter imaging; nonlinear inverse problem; online portable imaging; radiation scattering imaging; scattered photon energy spectra; spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Science, Measurement and Technology, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2344
  • Type

    jour

  • DOI
    10.1049/ip-smt:19960279
  • Filename
    553235