• DocumentCode
    3358505
  • Title

    Detection performance prediction for CdZnTe array

  • Author

    Lingenfelter, Daniel J. ; Fessler, Jeffrey A. ; Scott, Clayton D. ; He, Zhong

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    23-29 Oct. 2011
  • Firstpage
    4616
  • Lastpage
    4621
  • Abstract
    The complex system response of 3D position-sensitive gamma-ray detectors complicates the model for the recorded measurements and makes exact expressions for detection performance intractable. This makes source detection performance difficult and expensive to compute. Asymptotic analysis has the potential to simplify detection performance prediction with complex systems and has previously been applied to detection performance prediction with simulated gamma-ray detectors. In this work, we use asymptotic performance prediction methods to predict points on the receiver operating characteristic (ROC) curve for the illustrative task of detecting a Cs-137 source in background with an 18-detector CdZnTe array. We assume that the source position, background spectrum, and background spatial distribution are known. Our results show that the asymptotic performance prediction method accurately predicts the empirically observed performance even with real data recorded with a real system. Our results also characterize the performance of the detector array for the task of source detection. The accuracy and computational efficiency of the asymptotic detection performance prediction method make it a viable alternative to empirical performance evaluation.
  • Keywords
    gamma-ray detection; position sensitive particle detectors; radioactive sources; semiconductor counters; 3D position-sensitive gamma-ray detectors; CdZnTe array; Cs-137 source; asymptotic analysis; background spatial distribution; background spectrum; complex systems; detection performance prediction; performance prediction methods; receiver operating characteristic; source detection performance; source position; Arrays; Compton imaging; Detection; Performance Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
  • Conference_Location
    Valencia
  • ISSN
    1082-3654
  • Print_ISBN
    978-1-4673-0118-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2011.6154745
  • Filename
    6154745