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Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging

BACKGROUND: The Siemens high-resolution research tomograph (HRRT - a dedicated brain PET scanner) is to this day one of the highest resolution PET scanners; thus, it can serve as useful benchmark when evaluating performance of newer scanners. Here, we report results from a cross-validation study bet...

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Autores principales: Mannheim, Julia G., Cheng, Ju-Chieh (Kevin), Vafai, Nasim, Shahinfard, Elham, English, Carolyn, McKenzie, Jessamyn, Zhang, Jing, Barlow, Laura, Sossi, Vesna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910400/
https://www.ncbi.nlm.nih.gov/pubmed/33635449
http://dx.doi.org/10.1186/s40658-020-00349-0
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author Mannheim, Julia G.
Cheng, Ju-Chieh (Kevin)
Vafai, Nasim
Shahinfard, Elham
English, Carolyn
McKenzie, Jessamyn
Zhang, Jing
Barlow, Laura
Sossi, Vesna
author_facet Mannheim, Julia G.
Cheng, Ju-Chieh (Kevin)
Vafai, Nasim
Shahinfard, Elham
English, Carolyn
McKenzie, Jessamyn
Zhang, Jing
Barlow, Laura
Sossi, Vesna
author_sort Mannheim, Julia G.
collection PubMed
description BACKGROUND: The Siemens high-resolution research tomograph (HRRT - a dedicated brain PET scanner) is to this day one of the highest resolution PET scanners; thus, it can serve as useful benchmark when evaluating performance of newer scanners. Here, we report results from a cross-validation study between the HRRT and the whole-body GE SIGNA PET/MR focusing on brain imaging. Phantom data were acquired to determine recovery coefficients (RCs), % background variability (%BG), and image voxel noise (%). Cross-validation studies were performed with six healthy volunteers using [(11)C]DTBZ, [(11)C]raclopride, and [(18)F]FDG. Line profiles, regional time-activity curves, regional non-displaceable binding potentials (BP(ND)) for [(11)C]DTBZ and [(11)C]raclopride scans, and radioactivity ratios for [(18)F]FDG scans were calculated and compared between the HRRT and the SIGNA PET/MR. RESULTS: Phantom data showed that the PET/MR images reconstructed with an ordered subset expectation maximization (OSEM) algorithm with time-of-flight (TOF) and TOF + point spread function (PSF) + filter revealed similar RCs for the hot spheres compared to those obtained on the HRRT reconstructed with an ordinary Poisson-OSEM algorithm with PSF and PSF + filter. The PET/MR TOF + PSF reconstruction revealed the highest RCs for all hot spheres. Image voxel noise of the PET/MR system was significantly lower. Line profiles revealed excellent spatial agreement between the two systems. BP(ND) values revealed variability of less than 10% for the [(11)C]DTBZ scans and 19% for [(11)C]raclopride (based on one subject only). Mean [(18)F]FDG ratios to pons showed less than 12% differences. CONCLUSIONS: These results demonstrated comparable performances of the two systems in terms of RCs with lower voxel-level noise (%) present in the PET/MR system. Comparison of in vivo human data confirmed the comparability of the two systems. The whole-body GE SIGNA PET/MR system is well suited for high-resolution brain imaging as no significant performance degradation was found compared to that of the reference standard HRRT.
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spelling pubmed-79104002021-03-15 Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging Mannheim, Julia G. Cheng, Ju-Chieh (Kevin) Vafai, Nasim Shahinfard, Elham English, Carolyn McKenzie, Jessamyn Zhang, Jing Barlow, Laura Sossi, Vesna EJNMMI Phys Original Research BACKGROUND: The Siemens high-resolution research tomograph (HRRT - a dedicated brain PET scanner) is to this day one of the highest resolution PET scanners; thus, it can serve as useful benchmark when evaluating performance of newer scanners. Here, we report results from a cross-validation study between the HRRT and the whole-body GE SIGNA PET/MR focusing on brain imaging. Phantom data were acquired to determine recovery coefficients (RCs), % background variability (%BG), and image voxel noise (%). Cross-validation studies were performed with six healthy volunteers using [(11)C]DTBZ, [(11)C]raclopride, and [(18)F]FDG. Line profiles, regional time-activity curves, regional non-displaceable binding potentials (BP(ND)) for [(11)C]DTBZ and [(11)C]raclopride scans, and radioactivity ratios for [(18)F]FDG scans were calculated and compared between the HRRT and the SIGNA PET/MR. RESULTS: Phantom data showed that the PET/MR images reconstructed with an ordered subset expectation maximization (OSEM) algorithm with time-of-flight (TOF) and TOF + point spread function (PSF) + filter revealed similar RCs for the hot spheres compared to those obtained on the HRRT reconstructed with an ordinary Poisson-OSEM algorithm with PSF and PSF + filter. The PET/MR TOF + PSF reconstruction revealed the highest RCs for all hot spheres. Image voxel noise of the PET/MR system was significantly lower. Line profiles revealed excellent spatial agreement between the two systems. BP(ND) values revealed variability of less than 10% for the [(11)C]DTBZ scans and 19% for [(11)C]raclopride (based on one subject only). Mean [(18)F]FDG ratios to pons showed less than 12% differences. CONCLUSIONS: These results demonstrated comparable performances of the two systems in terms of RCs with lower voxel-level noise (%) present in the PET/MR system. Comparison of in vivo human data confirmed the comparability of the two systems. The whole-body GE SIGNA PET/MR system is well suited for high-resolution brain imaging as no significant performance degradation was found compared to that of the reference standard HRRT. Springer International Publishing 2021-02-26 /pmc/articles/PMC7910400/ /pubmed/33635449 http://dx.doi.org/10.1186/s40658-020-00349-0 Text en © The Author(s) 2021 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/.
spellingShingle Original Research
Mannheim, Julia G.
Cheng, Ju-Chieh (Kevin)
Vafai, Nasim
Shahinfard, Elham
English, Carolyn
McKenzie, Jessamyn
Zhang, Jing
Barlow, Laura
Sossi, Vesna
Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
title Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
title_full Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
title_fullStr Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
title_full_unstemmed Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
title_short Cross-validation study between the HRRT and the PET component of the SIGNA PET/MRI system with focus on neuroimaging
title_sort cross-validation study between the hrrt and the pet component of the signa pet/mri system with focus on neuroimaging
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910400/
https://www.ncbi.nlm.nih.gov/pubmed/33635449
http://dx.doi.org/10.1186/s40658-020-00349-0
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