• DocumentCode
    1177691
  • Title

    Local threshold for segmented attenuation correction of PET imaging of the thorax

  • Author

    Xu, M. ; Luk, W.K. ; Cutler, P.D. ; Digby, W.M.

  • Author_Institution
    Mallinckrodt Inst. of Radiol., St. Louis, MO, USA
  • Volume
    41
  • Issue
    4
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    1532
  • Lastpage
    1537
  • Abstract
    A local threshold for segmented attenuation correction technique has been developed for positron emission tomography using short (2-3 minutes) post-injection transmission scans. The technique implements an optimal threshold method on localized histograms to get pseudo-anatomic segmentation on transmission images. Theoretical values of attenuation coefficients are assigned to corresponding anatomic regions. Emission images are reconstructed using attenuation correction factors computed by forward-projecting segmented transmission images. Phantoms and clinical cardiac images are studied using this technique. The technique corrects emission images with accuracy similar to the standard, pre-injection method, reduces noise in the corrected emission images, and offers the potential for increased patient throughput by enabling shorter, post-injection data acquisition
  • Keywords
    computerised tomography; image segmentation; medical image processing; radioisotope scanning and imaging; 2 to 3 min; anatomic regions; forward-projecting segmented transmission images; local threshold; localized histograms; medical diagnostic imaging; nuclear medicine; optimal threshold method; positron emission tomography; pseudo-anatomic segmentation; segmented attenuation correction; thorax PET imaging; Attenuation; Biological tissues; Histograms; Image reconstruction; Image segmentation; Lungs; Noise reduction; Positron emission tomography; Radiology; Thorax;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.322944
  • Filename
    322944