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
Link To Document :
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