• DocumentCode
    847674
  • Title

    Regularization in Fourier-Synthesis 2-D Image Reconstruction

  • Author

    Levitan, E. ; Degani, J. ; Zak, J.

  • Author_Institution
    Faculty of Medicine Technion-Israel Institute of Technology, Haifa, Israel
  • Volume
    26
  • Issue
    3
  • fYear
    1979
  • fDate
    6/1/1979 12:00:00 AM
  • Firstpage
    4327
  • Lastpage
    4329
  • Abstract
    A filtering procedure for computed tomography is formulated. It is derived from the general regularization theory and contains an adjustable regularization parameter. The latter can be found selfconsistently and corresponds to a given noise level. The method is illustrated by applying it to the reconstruction of phantoms in computer experiments.
  • Keywords
    Biomedical imaging; Computed tomography; Convolution; Filtering; Filters; Fourier transforms; Image reconstruction; Integral equations; Noise level; Physics;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.1979.4330778
  • Filename
    4330778
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=847674