• DocumentCode
    1479668
  • Title

    Error propagation in eigenimage filtering

  • Author

    Soltanian-Zadeh, Hamid ; Windham, Joe P. ; Jenkins, Janice M.

  • Author_Institution
    Dept. of Diagnostic Radiol. & Med. Imaging, Henry Ford Hospital, Detroit, MI, USA
  • Volume
    9
  • Issue
    4
  • fYear
    1990
  • fDate
    12/1/1990 12:00:00 AM
  • Firstpage
    405
  • Lastpage
    420
  • Abstract
    Mathematical derivation of error (noise) propagation in eigenimage filtering is presented. Based on the mathematical expressions, a method for decreasing the propagated noise given a sequence of images is suggested. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the final composite image are compared to the SNRs and CNRs of the images in the sequence. The consistency of the assumptions and accuracy of the mathematical expressions are investigated using sequences of simulated and real magnetic resonance (MR) images of an agarose phantom and a human brain
  • Keywords
    biomedical NMR; picture processing; agarose phantom; composite image; contrast-to-noise ratio; eigenimage filtering; error propagation; human brain; magnetic resonance images; noise propagation; signal-to-noise ratio; Biomedical imaging; Brain modeling; Filtering; Hospitals; Magnetic resonance; Magnetic separation; Nonlinear filters; Pixel; Radiology; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.61756
  • Filename
    61756