• DocumentCode
    3331853
  • Title

    Modified ordered subsets scheme for attenuation weighted reconstruction

  • Author

    Rothfuss, Harold E. ; Panin, Vladimir Y. ; Gregor, Jens

  • Author_Institution
    Siemens Med. Solutions, Erlangen, Germany
  • fYear
    2009
  • fDate
    Oct. 24 2009-Nov. 1 2009
  • Firstpage
    2763
  • Lastpage
    2765
  • Abstract
    Methods of selecting subsets for attenuation weighed algorithms were investigated in order to reduce observed artifacts. Artifacts are observed primarily in the transaxial view of the images using the typically used subset selection scheme. By changing the subset selection scheme, the artifacts were determined to originate from the attenuation weighting of the data across the angular range of the data. By clustering subset projections, the measured data used in an image update are similarly attenuated for any given image point. Such subset selection improves the image quality in objects with high activity regions that are located toward the edges of the object. Preliminary results show that the new subset scheme produces less distorted images with fewer artifacts.
  • Keywords
    expectation-maximisation algorithm; image reconstruction; medical image processing; pattern clustering; positron emission tomography; attenuation weighted reconstruction algorithms; image artifacts; image quality; modified ordered subset scheme; ordered subset expectation maximization; positron emission tomography; subset projection clustering; subset selection scheme; Attenuation; Background noise; Biomedical imaging; Convergence; Image reconstruction; Imaging phantoms; Liver; Nuclear and plasma sciences; Reconstruction algorithms; Torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-3961-4
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2009.5401959
  • Filename
    5401959