• DocumentCode
    2911540
  • Title

    A theoretical study of the contrast recovery and variance of MAP reconstructions with applications to the selection of smoothing parameters

  • Author

    Qi, Jinyi ; Leahy, Richard M.

  • Author_Institution
    Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    3
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    2078
  • Abstract
    The authors examine the spatial resolution and variance properties of PET images reconstructed using maximum a posteriori (MAP) or penalized-likelihood methods. Resolution is characterized by the contrast recovery coefficient (CRC) of the local impulse response. Simplified approximate expressions are derived for the local impulse response CRCs and variances for each voxel. Using these results the authors propose a practical scheme for selecting spatially variant smoothing parameters to optimize lesion detestability through maximization of the local CRC-to-noise ratio in the reconstructed image
  • Keywords
    image reconstruction; image resolution; medical image processing; positron emission tomography; MAP reconstructions variance; contrast recovery; contrast recovery coefficient; lesion detestability optimization; local impulse response; maximum a posteriori method; medical diagnostic imaging; nuclear medicine; penalized-likelihood method; reconstructed image; simplified approximate expressions; smoothing parameters selection; spatially variant smoothing parameters; Convergence; Cyclic redundancy check; Image reconstruction; Maximum likelihood estimation; Monte Carlo methods; Positron emission tomography; Reconstruction algorithms; Signal processing; Smoothing methods; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1998. Conference Record. 1998 IEEE
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-5021-9
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1998.773942
  • Filename
    773942