• DocumentCode
    2098968
  • Title

    Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs

  • Author

    Fessler, Jeffrey A. ; Rogers, W. Leslie

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • fYear
    2002
  • fDate
    15-23 June 2002
  • Abstract
    This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction, the local resolution is generally poorest in high-count penalties depends on the object only through its projections. This analysis leads naturally to a modified regularization penalty that leads naturally to a modified regularization penalty that yields reconstructed images with nearly uniform resolution. The modified penalty also provides a very practical method for choosing the regularization parameter to obtain a specified resolution in images reconstructed by penalized-likelihood methods.
  • Keywords
    emission tomography; image reconstruction; image resolution; maximum likelihood estimation; medical image processing; penalized-likelihood image reconstruction; regularization parameter; regularization penalty; space-invariant tomographs; space-variant local impulse response functions; spatial resolution; Biomedical imaging; Density measurement; Filters; Image reconstruction; Image resolution; Peak to average power ratio; Scanning probe microscopy; Single photon emission computed tomography; Spatial resolution; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging, 2002. 5th IEEE EMBS International Summer School on
  • Print_ISBN
    0-7803-7507-6
  • Type

    conf

  • DOI
    10.1109/SSBI.2002.1233985
  • Filename
    1233985