• DocumentCode
    469882
  • Title

    Quantitative evaluation of Half-Cone-Beam data acquisition trajectories in triple- camera brain SPECT

  • Author

    Ter-Antonyan, Ruben ; Jaszczak, Ronald J. ; Bowsher, James E. ; Greer, Kim L. ; Metzler, Scott D.

  • Author_Institution
    Duke Univ., Durham
  • Volume
    5
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    3898
  • Lastpage
    3903
  • Abstract
    In this study related to human brain SPECT imaging, simulation of half-cone-beam collimation with different scan paths is performed and compared with simulated fan-beam and parallel-hole circular orbit acquisitions. Acquisition types are quantitatively evaluated based on photon detection efficiency, root-mean-squared error (RMSE) and contrast measurements of reconstructed images. We demonstrate that triple-HCB collimation with a circle-and-helix scan path can offer up to 26% and 128% efficiency increase over fan-beam and parallel-hole collimators (for equal spatial resolutions) correspondingly, and display no visible axial sampling artifacts in reconstructed images. It has a potential for improved data acquisition and image reconstruction, producing higher image quality with smaller reconstruction error (RMSE) and better lesion detectability compared to fan-beam, parallel-hole and half-cone- beam circular orbit acquisitions.
  • Keywords
    brain; data acquisition; image reconstruction; mean square error methods; medical image processing; single photon emission computed tomography; brain SPECT; fan-beam acquisitions; half-cone-beam data acquisition trajectories; image reconstruction; lesion detectability; parallel-hole circular orbit acquisitions; photon detection efficiency; root mean squared error; Brain modeling; Cameras; Collimators; Data acquisition; Displays; Extraterrestrial measurements; Humans; Image reconstruction; Single photon emission computed tomography; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4436970
  • Filename
    4436970