TY - GEN
T1 - Evaluation of Down-scatter Contamination in Multi-Pinhole 123I-IMP Brain Perfusion SPECT Imaging
AU - Auer, Benjamin
AU - De Beenhouwer, Jan
AU - Kalluri, Kesava S.
AU - Lindsay, Clifford
AU - Richards, R. Garrett
AU - May, Micaehla
AU - Kupinski, Matthew A.
AU - Kuo, Phillip H
AU - Furenlid, Lars R.
AU - King, Michael A.
N1 - Funding Information:
Manuscript received December 16, 2021. Research reported in this publication was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award number R01 EB022521. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Brain imaging with 123I radionuclide remains essential to assess the dopamine transporter activity or cerebral blood flow in various cerebral disorders. However, imaging with 123I-labeled tracers suffers from down-scatter contaminations from the emission of a series of high-energy (>183 keV, ~3% abundance) gamma photons in addition to the primary photons (159 keV, 83% abundance). In this work, we investigated through simulation studies the effect of down-scatter contamination on image quality using multiple pinhole configurations and aperture sizes of AdaptiSPECT-C, which is a next-generation multi-pinhole system currently under construction. We simulated a brain phantom with source distribution for the perfusion imaging agent 123I-IMP as imaged 1h post injection. To enable comparison of imaging without down-scatter interactions, reconstructions were compared qualitatively and quantitively to the ones obtained from acquisition of similar activity distribution simulated for solely the 159-keV principal emission of 123I. In this initial study, we demonstrated through quantification and visual inspection of cerebral perfusion reconstruction incorporating down-scatter correction that the inclusion of down-scatter counts does not hamper the imaging performance of AdaptiSPECT-C even for the pinhole combination the most contaminated by such interactions. We have initiated a comparison of these findings against the ones obtained from a dual-head system employing parallel-hole collimator for which acquisition is considerably more impacted by down-scatter interactions.
AB - Brain imaging with 123I radionuclide remains essential to assess the dopamine transporter activity or cerebral blood flow in various cerebral disorders. However, imaging with 123I-labeled tracers suffers from down-scatter contaminations from the emission of a series of high-energy (>183 keV, ~3% abundance) gamma photons in addition to the primary photons (159 keV, 83% abundance). In this work, we investigated through simulation studies the effect of down-scatter contamination on image quality using multiple pinhole configurations and aperture sizes of AdaptiSPECT-C, which is a next-generation multi-pinhole system currently under construction. We simulated a brain phantom with source distribution for the perfusion imaging agent 123I-IMP as imaged 1h post injection. To enable comparison of imaging without down-scatter interactions, reconstructions were compared qualitatively and quantitively to the ones obtained from acquisition of similar activity distribution simulated for solely the 159-keV principal emission of 123I. In this initial study, we demonstrated through quantification and visual inspection of cerebral perfusion reconstruction incorporating down-scatter correction that the inclusion of down-scatter counts does not hamper the imaging performance of AdaptiSPECT-C even for the pinhole combination the most contaminated by such interactions. We have initiated a comparison of these findings against the ones obtained from a dual-head system employing parallel-hole collimator for which acquisition is considerably more impacted by down-scatter interactions.
KW - I-IMP SPECT imaging
KW - AdaptiSPECT-C
KW - cerebral blood-flow perfusion
KW - down-scatter contaminations
KW - GATE Monte-Carlo simulation
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U2 - 10.1109/NSS/MIC44867.2021.9875469
DO - 10.1109/NSS/MIC44867.2021.9875469
M3 - Conference contribution
AN - SCOPUS:85139177300
T3 - 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022
BT - 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022
A2 - Tomita, Hideki
A2 - Nakamura, Tatsuya
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021
Y2 - 16 October 2021 through 23 October 2021
ER -