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
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