• DocumentCode
    803762
  • Title

    Brain lesion detectability studies with a high resolution PET operating in no-septa and partial-septa configurations

  • Author

    Baghaei, Hossain ; Wong, Wai-Hoi ; Uribe, Jorge ; Li, Hongdi ; Aykac, Mehmet ; Wang, Yu ; Liu, Yaqiang ; Xing, Tao ; Farrell, Rocio

  • Author_Institution
    M.D. Anderson Cancer Center, Texas Univ., Houston, TX, USA
  • Volume
    50
  • Issue
    5
  • fYear
    2003
  • Firstpage
    1364
  • Lastpage
    1369
  • Abstract
    Three-dimensional (3-D) positron emission tomography (PET) acquisition in comparison to two-dimensional (2-D) PET acquisition improves the sensitivity of the system at the cost of higher scatter and accidental coincidence contributions. A partial-septa system (i.e., some detector rings lack septa) allowing "partial" 3-D acquisition may provide a better alternative to the 2-D acquisition and full 3-D acquisition. We investigated the effect of partial-septa configuration on the noise equivalent sensitivity and lesion detectability for a high-resolution PET camera. We used the MDAPET camera to detect small lesions in brain images obtained from scan of the Hoffman brain phantom. For this work, three small lesion phantoms with diameters of 3, 5, and 8.6 mm were embedded into the 3-D Hoffman brain phantom. The activity concentration ratio of the lesions to the brain gray matter ranged from 1.5 to 10.
  • Keywords
    brain; phantoms; positron emission tomography; 3 mm; 5 mm; 8.6 mm; Hoffman brain phantom; MDAPET camera; activity concentration ratio; brain images; brain lesion detectability studies; high resolution PET; lesion detectability; positron emission tomography; small lesions; Brain; Cameras; Costs; Data acquisition; Detectors; Imaging phantoms; Lesions; Positron emission tomography; Scattering; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2003.817967
  • Filename
    1236933