• DocumentCode
    3473851
  • Title

    An anthropomorphic phantom integrated EGS4 Monte Carlo code and its application in Compton probe

  • Author

    Zhang, L. ; Wilderman, S.J. ; Clinthorne, N.H. ; Rogers, W.L.

  • Author_Institution
    Dept. of Biomed. Eng., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Abstract
    An EGS4 Monte Carlo Code incorporated with a digitized anthropomorphic phantom is presented. With this Monte Carlo program, new imaging techniques and devices can be investigated accurately under realistic clinical conditions without conducting experiments in living subjects. Imaging quality can be improved by analyzing the image formation procedure with detailed interaction physics. As an example, its application in predicting the performance of the authors´ newly designed Compton prove for prostate imaging is addressed in detail. The authors´ initial simulation results show that Compton prove promises good counting efficiency and high spatial resolution. Further study of effects of the background activity on the probe performance indicates that bladder is possible a major source of degradation. Moreover, it indicates that the probe design can be improved using appropriate shielding. Potential use of Compton probe for prostate tumor detection is demonstrated by list-mode likelihood reconstruction of anthropomorphic phantom using the presented EGS4 based Monte Carlo program. This Monte Carlo program can handle 3 million voxels with a simulation speed of 1 million histories per 18 minutes
  • Keywords
    Compton effect; Monte Carlo methods; biomedical equipment; probes; radioisotope imaging; 18 min; Compton probe; EGS4 based Monte Carlo program; Imaging quality; anthropomorphic phantom; bladder; counting efficiency; image formation procedure; list-mode likelihood reconstruction; living subjects; probe design; prostate imaging; prostate tumor detection; realistic clinical condition; shielding; spatial resolution; Anthropomorphism; Bladder; Degradation; High-resolution imaging; Image analysis; Imaging phantoms; Monte Carlo methods; Physics; Probes; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2000 IEEE
  • Conference_Location
    Lyon
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-6503-8
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2000.949332
  • Filename
    949332