TY - GEN
T1 - Comparison of LROC and traditional ROC studies for lesion-detection task
AU - Chen, Si
AU - Volokh, Lana
AU - Liu, Chi
AU - Tsui, Benjamin M.W.
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - The goal of this study is to evaluate lesion detectability in In-Ill ProstaScint® SPECT with different image reconstruction methods using receiver operating characteristic (ROC) techniques of traditional signal position known exactly (SPKE) settings and two other different settings. We generated 3D NCAT phantoms with different body sizes, organ uptake ratios, lesion sizes and lesion contrasts to simulate variations found in a patient population. Monte Carlo methods were then used to generate projection data. The projections were reconstructed using the OS-EM algorithm with different compensations including attenuation compensation (AC), AC and scatter compensation (SC) and AC, SC and collimator-detector response compensation (CDR). We used the channelized Hotelling observer (CHO) for all the 3 settings of ROC studies. The area under ROC curves (AUC) was used as the figure of merit to optimize the updates number and postfilter cut-off frequency of OS-EM with different compensations and then compare the optimized methods. The results show that all 3 different settings of ROC study give consistent results for comparing optimized OS-EM with different compensations. ROC setting 2, which involves localization uncertainty and nonlinear combination of body size variations have better statistical power than the SPKE setting (setting 1). The AVC of CHO in ROC setting 2 and 3 are significantly lower than that of setting 1 which may predict better the human observers' performances in clinical trials.[1]
AB - The goal of this study is to evaluate lesion detectability in In-Ill ProstaScint® SPECT with different image reconstruction methods using receiver operating characteristic (ROC) techniques of traditional signal position known exactly (SPKE) settings and two other different settings. We generated 3D NCAT phantoms with different body sizes, organ uptake ratios, lesion sizes and lesion contrasts to simulate variations found in a patient population. Monte Carlo methods were then used to generate projection data. The projections were reconstructed using the OS-EM algorithm with different compensations including attenuation compensation (AC), AC and scatter compensation (SC) and AC, SC and collimator-detector response compensation (CDR). We used the channelized Hotelling observer (CHO) for all the 3 settings of ROC studies. The area under ROC curves (AUC) was used as the figure of merit to optimize the updates number and postfilter cut-off frequency of OS-EM with different compensations and then compare the optimized methods. The results show that all 3 different settings of ROC study give consistent results for comparing optimized OS-EM with different compensations. ROC setting 2, which involves localization uncertainty and nonlinear combination of body size variations have better statistical power than the SPKE setting (setting 1). The AVC of CHO in ROC setting 2 and 3 are significantly lower than that of setting 1 which may predict better the human observers' performances in clinical trials.[1]
UR - http://www.scopus.com/inward/record.url?scp=38649090736&partnerID=8YFLogxK
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U2 - 10.1109/NSSMIC.2006.354321
DO - 10.1109/NSSMIC.2006.354321
M3 - Conference contribution
AN - SCOPUS:38649090736
SN - 1424405610
SN - 9781424405619
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 2072
EP - 2075
BT - 2006 IEEE Nuclear Science Symposium - Conference Record
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD
Y2 - 29 October 2006 through 4 November 2006
ER -