DocumentCode :
438112
Title :
Performance evaluation of Compton probe and SPECT in lesion detection
Author :
Zhang, Lisha ; Dewaraja, Yuni ; Rogers, W. Leslie ; Clinthorne, Neal H.
Author_Institution :
Dept. of Biomed. Eng., Michigan Univ., Ann Arbor, MI, USA
Volume :
4
fYear :
2004
fDate :
16-22 Oct. 2004
Firstpage :
2379
Abstract :
In this paper, we evaluate the performance of the previously proposed Compton imaging probe in comparison to SPECT for lesion detection using a non-prewhitening matched filter observer model. Specifically, multiple realizations of tumor present and tumor absent data were generated for both systems with Monte Carlo simulations for 111In ProstaScint distribution. The penalized list-mode ML-EM and FBP methods were used for image reconstruction for the probe and SPECT respectively. The NPWMF observer was then applied to the reconstructed images and AUC was calculated to measure quantitatively the performance of two systems. Using simulation that represents a realistic prostate imaging scenario, we demonstrate a significant improvement of the Compton probe over SPECT for lesion detection in terms of both visual observation and quantitative measure of lesion detectability. For the tasks of detecting 8 mm and 5 mm tumors, the Compton probe demonstrates an SNR improvement of 3-3.5× over SPECT.
Keywords :
Compton effect; Monte Carlo methods; gamma-ray detection; image reconstruction; medical computing; medical image processing; scintillation counters; single photon emission computed tomography; tumours; 111In ProstaScint distribution; AUC; Compton imaging probe; Compton probe; Monte Carlo simulations; SPECT; image reconstruction; lesion detection; nonprewhitening matched filter observer model; penalized list-mode ML-EM; realistic prostate imaging scenario; tumor; High-resolution imaging; Humans; Image reconstruction; Lesions; Matched filters; Neoplasms; Probes; Scattering; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
ISSN :
1082-3654
Print_ISBN :
0-7803-8700-7
Type :
conf
DOI :
10.1109/NSSMIC.2004.1462735
Filename :
1462735
Link To Document :
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