• DocumentCode
    37381
  • Title

    Optimization of the Energy Window for PETbox4, a Preclinical PET Tomograph With a Small Inner Diameter

  • Author

    Gu, Zhenghui ; Bao, Q. ; Taschereau, R. ; Wang, Huifang ; Bai, Baoming ; Chatziioannou, A.F.

  • Author_Institution
    Crump Inst. for Mol. Imaging, Univ. of California at Los Angeles, Los Angeles, CA, USA
  • Volume
    61
  • Issue
    3
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    1164
  • Lastpage
    1173
  • Abstract
    Small animal positron emission tomography (PET) systems are often designed by employing close geometry configurations. Due to the different characteristics caused by geometrical factors, these tomographs require data acquisition protocols that differ from those optimized for conventional large diameter ring systems. In this work we optimized the energy window for data acquisitions with PETbox4, a 50 mm detector separation (box-like geometry) pre-clinical PET scanner, using the Geant4 Application for Tomographic Emission (GATE). The fractions of different types of events were estimated using a voxelized phantom including a mouse as well as its supporting chamber, mimicking a realistic mouse imaging environment. Separate code was developed to extract additional information about the gamma interactions for more accurate event type classification. Three types of detector backscatter events were identified in addition to the trues, phantom scatters and randoms. The energy window was optimized based on the noise equivalent count rate (NECR) and scatter fraction (SF) with lower-level discriminators (LLD) corresponding to energies from 150 keV to 450 keV. The results were validated based on the calculated image uniformity, spillover ratio (SOR) and recovery coefficient (RC) from physical measurements using the National Electrical Manufacturers Association (NEMA) NU-4 image quality phantom. These results indicate that when PETbox4 is operated with a more narrow energy window (350-650 keV), detector backscatter rejection is unnecessary. For the NEMA NU-4 image quality phantom, the SOR for the water chamber decreases by about 45% from 15.1% to 8.3%, and the SOR for the air chamber decreases by 31% from 12.0% to 8.3% at the LLDs of 150 and 350 keV, without obvious change in uniformity, further supporting the simulation based optimization. The optimization described in this work is not limited to PETbox4, but also applicable or helpful to other small inner diameter geometry sca- ners.
  • Keywords
    Monte Carlo methods; data acquisition; image classification; medical image processing; phantoms; positron emission tomography; GATE; Geant4 Application for Tomographic Emission; LLD; NECR; NEMA NU-4 image quality phantom; PETbox4; calculated image uniformity; data acquisition protocols; electron volt energy 150 keV to 450 keV; energy window; lower-level discriminators; noise equivalent count rate; preclinical PET tomograph; recovery coefficient; small animal positron emission tomography; spillover ratio; voxelized phantom; Backscatter; Detectors; Geometry; Mice; Phantoms; Photonics; Backscatter; GATE; NECR; PET; PETbox4; SF; energy window; optimization;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2014.2321326
  • Filename
    6825906