TY - GEN
T1 - Comparison of the scanning linear estimator (SLE) and ROI uptake estimation for quantitative 111In-Octreotide SPECT imaging of signals embedded in random backgrounds
AU - Konik, Arda
AU - Kupinski, Meredith
AU - Pretorius, P. Hendrik
AU - King, Michael A.
AU - Barrett, Harrison H.
N1 - Funding Information:
This work was supported by the Grants: R21-EB016391, R01-EB000803, and P41-EB002035. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2014 IEEE.
PY - 2016/3/10
Y1 - 2016/3/10
N2 - In quantitative PET and SPECT imaging signal activity is typically estimated from calculations in a 3D region of interest (ROI) of the reconstructed slices. In these calculations, unpredictable bias arising from the null functions of the imaging system (e.g. signal size and location) affects ROI estimates. An alternative to the ROI method is the scanning linear estimator (SLE), which operates on the raw projection data. In this work, we compared the ROI and SLE methods through analytic simulations of a realistic NCAT human phantom modeling 111In-Octreotide studies. The task was to estimate the signal activity of a spherical lesion in the liver, and its size and location are known. The performance of SLE and ROI methods were compared for two assumptions about the activity in the liver: 1) a uniform distribution of known value and 2) a non-uniform and random distribution. For all imaging scenarios in this simulation study the SLE estimated the uptake values better than the ROI estimation when compared using the ensemble-mean-squared error (EMSE).
AB - In quantitative PET and SPECT imaging signal activity is typically estimated from calculations in a 3D region of interest (ROI) of the reconstructed slices. In these calculations, unpredictable bias arising from the null functions of the imaging system (e.g. signal size and location) affects ROI estimates. An alternative to the ROI method is the scanning linear estimator (SLE), which operates on the raw projection data. In this work, we compared the ROI and SLE methods through analytic simulations of a realistic NCAT human phantom modeling 111In-Octreotide studies. The task was to estimate the signal activity of a spherical lesion in the liver, and its size and location are known. The performance of SLE and ROI methods were compared for two assumptions about the activity in the liver: 1) a uniform distribution of known value and 2) a non-uniform and random distribution. For all imaging scenarios in this simulation study the SLE estimated the uptake values better than the ROI estimation when compared using the ensemble-mean-squared error (EMSE).
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U2 - 10.1109/NSSMIC.2014.7430907
DO - 10.1109/NSSMIC.2014.7430907
M3 - Conference contribution
AN - SCOPUS:84965032346
T3 - 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
BT - 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
Y2 - 8 November 2014 through 15 November 2014
ER -