• DocumentCode
    1294547
  • Title

    Helical SPECT using axially truncated data

  • Author

    Zeng, Gengsheng L. ; Gullberg, Grant T.

  • Author_Institution
    Dept. of Radiol., Utah Univ., Salt Lake City, UT, USA
  • Volume
    46
  • Issue
    6
  • fYear
    1999
  • Firstpage
    2111
  • Lastpage
    2118
  • Abstract
    In this study, use of a helical orbit in performing a long object SPECT scan with parallel, cone, fan, rotated fan, varying focal-length cone, divergent, and astigmatic collimators is proposed. Sufficient-data scanning helical orbits for these collimation geometries are developed. Both a single-detector system and a multi-detector system are considered. In order to verify the authors´ orbit design requirement, the iterative ML-EM algorithm is used to reconstruct images of a long Defrise phantom. The phantom height is five times the height of the detectors. Computer simulations are performed and exact reconstructions are obtained. The proposed sufficient helical orbit pitch will facilitate performing whole body SPECT and PET scans that demand an exact reconstruction.
  • Keywords
    digital simulation; image reconstruction; iterative methods; medical image processing; single photon emission computed tomography; PET scans; astigmatic collimator; axially truncated data; computer simulations; cone collimator; divergent collimator; exact reconstruction; fan collimator; helical SPECT; helical orbit pitch; iterative ML-EM algorithm; long Defrise phantom; long object SPECT scan; multi-detector system; parallel collimator; phantom height; rotated fan collimator; single-detector system; varying focal-length cone collimator; Algorithm design and analysis; Collimators; Detectors; Geometry; Image reconstruction; Imaging phantoms; Iterative algorithms; Optical imaging; Reconstruction algorithms; X-ray imaging;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.819290
  • Filename
    819290