• DocumentCode
    2371910
  • Title

    Projection processing for improved resolution and noise suppression of reconstructed images of computer tomography

  • Author

    Donohue, Kevin D. ; Bressler, John M. ; Bilgutay, Nihat M.

  • Author_Institution
    Dept. of Elecxtr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1989
  • fDate
    27-28 Mar 1989
  • Firstpage
    111
  • Lastpage
    112
  • Abstract
    A nonlinear digital filtering technique (median filtering) is suggested for processing the projections to reduce error without the distortion introduced by linear filtering. The rationale for the application of these filters is discussed. To compare the effectiveness of linear filtering and median filtering, computer simulations and further experiments are suggested. It is expected that median filters have potential to improve image quality beyond that of linear filtering, particularly for edge reproduction
  • Keywords
    computerised picture processing; computerised tomography; digital simulation; filtering and prediction theory; interference suppression; computer simulations; computer tomography; computerised picture processing; computerised tomography; edge reproduction; linear filtering; median filtering; noise suppression; nonlinear digital filtering; reconstructed images; Filtering; Frequency; Image reconstruction; Image resolution; Low pass filters; Maximum likelihood detection; Nonlinear filters; Projection algorithms; Signal to noise ratio; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBC.1989.36725
  • Filename
    36725