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Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT

BACKGROUND: The introduction of hybrid SPECT/CT devices enables quantitative imaging in SPECT, providing a methodological setup for quantitation using SPECT tracers comparable to PET/CT. We evaluated a specific quantitative reconstruction algorithm for SPECT data using a (99m)Tc-filled NEMA phantom....

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Autores principales: Kupitz, Dennis, Wissel, Heiko, Wuestemann, Jan, Bluemel, Stephanie, Pech, Maciej, Amthauer, Holger, Kreissl, Michael C., Grosser, Oliver S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324619/
https://www.ncbi.nlm.nih.gov/pubmed/34328565
http://dx.doi.org/10.1186/s40658-021-00405-3
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author Kupitz, Dennis
Wissel, Heiko
Wuestemann, Jan
Bluemel, Stephanie
Pech, Maciej
Amthauer, Holger
Kreissl, Michael C.
Grosser, Oliver S.
author_facet Kupitz, Dennis
Wissel, Heiko
Wuestemann, Jan
Bluemel, Stephanie
Pech, Maciej
Amthauer, Holger
Kreissl, Michael C.
Grosser, Oliver S.
author_sort Kupitz, Dennis
collection PubMed
description BACKGROUND: The introduction of hybrid SPECT/CT devices enables quantitative imaging in SPECT, providing a methodological setup for quantitation using SPECT tracers comparable to PET/CT. We evaluated a specific quantitative reconstruction algorithm for SPECT data using a (99m)Tc-filled NEMA phantom. Quantitative and qualitative image parameters were evaluated for different parametrizations of the acquisition and reconstruction protocol to identify an optimized quantitative protocol. RESULTS: The reconstructed activity concentration (AC(rec)) and the signal-to-noise ratio (SNR) of all examined protocols (n = 16) were significantly affected by the parametrization of the weighting factor k used in scatter correction, the total number of iterations and the sphere volume (all, p < 0.0001). The two examined SPECT acquisition protocols (with 60 or 120 projections) had a minor impact on the AC(rec) and no significant impact on the SNR. In comparison to the known AC, the use of default scatter correction (k = 0.47) or object-specific scatter correction (k = 0.18) resulted in an underestimation of AC(rec) in the largest sphere volume (26.5 ml) by − 13.9 kBq/ml (− 16.3%) and − 7.1 kBq/ml (− 8.4%), respectively. An increase in total iterations leads to an increase in estimated AC and a decrease in SNR. The mean difference between AC(rec) and known AC decreased with an increasing number of total iterations (e.g., for 20 iterations (2 iterations/10 subsets) = − 14.6 kBq/ml (− 17.1%), 240 iterations (24i/10s) = − 8.0 kBq/ml (− 9.4%), p < 0.0001). In parallel, the mean SNR decreased significantly from 2i/10s to 24i/10s by 76% (p < 0.0001). CONCLUSION: Quantitative SPECT imaging is feasible with the used reconstruction algorithm and hybrid SPECT/CT, and its consistent implementation in diagnostics may provide perspectives for quantification in routine clinical practice (e.g., assessment of bone metabolism). When combining quantitative analysis and diagnostic imaging, we recommend using two different reconstruction protocols with task-specific optimized setups (quantitative vs. qualitative reconstruction). Furthermore, individual scatter correction significantly improves both quantitative and qualitative results. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-021-00405-3.
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spelling pubmed-83246192021-08-19 Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT Kupitz, Dennis Wissel, Heiko Wuestemann, Jan Bluemel, Stephanie Pech, Maciej Amthauer, Holger Kreissl, Michael C. Grosser, Oliver S. EJNMMI Phys Original Research BACKGROUND: The introduction of hybrid SPECT/CT devices enables quantitative imaging in SPECT, providing a methodological setup for quantitation using SPECT tracers comparable to PET/CT. We evaluated a specific quantitative reconstruction algorithm for SPECT data using a (99m)Tc-filled NEMA phantom. Quantitative and qualitative image parameters were evaluated for different parametrizations of the acquisition and reconstruction protocol to identify an optimized quantitative protocol. RESULTS: The reconstructed activity concentration (AC(rec)) and the signal-to-noise ratio (SNR) of all examined protocols (n = 16) were significantly affected by the parametrization of the weighting factor k used in scatter correction, the total number of iterations and the sphere volume (all, p < 0.0001). The two examined SPECT acquisition protocols (with 60 or 120 projections) had a minor impact on the AC(rec) and no significant impact on the SNR. In comparison to the known AC, the use of default scatter correction (k = 0.47) or object-specific scatter correction (k = 0.18) resulted in an underestimation of AC(rec) in the largest sphere volume (26.5 ml) by − 13.9 kBq/ml (− 16.3%) and − 7.1 kBq/ml (− 8.4%), respectively. An increase in total iterations leads to an increase in estimated AC and a decrease in SNR. The mean difference between AC(rec) and known AC decreased with an increasing number of total iterations (e.g., for 20 iterations (2 iterations/10 subsets) = − 14.6 kBq/ml (− 17.1%), 240 iterations (24i/10s) = − 8.0 kBq/ml (− 9.4%), p < 0.0001). In parallel, the mean SNR decreased significantly from 2i/10s to 24i/10s by 76% (p < 0.0001). CONCLUSION: Quantitative SPECT imaging is feasible with the used reconstruction algorithm and hybrid SPECT/CT, and its consistent implementation in diagnostics may provide perspectives for quantification in routine clinical practice (e.g., assessment of bone metabolism). When combining quantitative analysis and diagnostic imaging, we recommend using two different reconstruction protocols with task-specific optimized setups (quantitative vs. qualitative reconstruction). Furthermore, individual scatter correction significantly improves both quantitative and qualitative results. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-021-00405-3. Springer International Publishing 2021-07-30 /pmc/articles/PMC8324619/ /pubmed/34328565 http://dx.doi.org/10.1186/s40658-021-00405-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Kupitz, Dennis
Wissel, Heiko
Wuestemann, Jan
Bluemel, Stephanie
Pech, Maciej
Amthauer, Holger
Kreissl, Michael C.
Grosser, Oliver S.
Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT
title Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT
title_full Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT
title_fullStr Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT
title_full_unstemmed Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT
title_short Optimization of SPECT/CT imaging protocols for quantitative and qualitative (99m)Tc SPECT
title_sort optimization of spect/ct imaging protocols for quantitative and qualitative (99m)tc spect
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324619/
https://www.ncbi.nlm.nih.gov/pubmed/34328565
http://dx.doi.org/10.1186/s40658-021-00405-3
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