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Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan
BACKGROUND: Image harmonization has been proposed to minimize heterogeneity in brain PET scans acquired in multi-center studies. However, standard validated methods and software tools are lacking. Here, we assessed the performance of a framework for the harmonization of brain PET scans in a multi-ce...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618151/ https://www.ncbi.nlm.nih.gov/pubmed/37906338 http://dx.doi.org/10.1186/s40658-023-00588-x |
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author | Shekari, Mahnaz Verwer, Eline E. Yaqub, Maqsood Daamen, Marcel Buckley, Christopher Frisoni, Giovanni B. Visser, Pieter Jelle Farrar, Gill Barkhof, Frederik Gispert, Juan Domingo Boellaard, Ronald |
author_facet | Shekari, Mahnaz Verwer, Eline E. Yaqub, Maqsood Daamen, Marcel Buckley, Christopher Frisoni, Giovanni B. Visser, Pieter Jelle Farrar, Gill Barkhof, Frederik Gispert, Juan Domingo Boellaard, Ronald |
author_sort | Shekari, Mahnaz |
collection | PubMed |
description | BACKGROUND: Image harmonization has been proposed to minimize heterogeneity in brain PET scans acquired in multi-center studies. However, standard validated methods and software tools are lacking. Here, we assessed the performance of a framework for the harmonization of brain PET scans in a multi-center European clinical trial. METHOD: Hoffman 3D brain phantoms were acquired in 28 PET systems and reconstructed using site-specific settings. Full Width at Half Maximum (FWHM) of the Effective Image Resolution (EIR) and harmonization kernels were estimated for each scan. The target EIR was selected as the coarsest EIR in the imaging network. Using “Hoffman 3D brain Analysis tool,” indicators of image quality were calculated before and after the harmonization: The Coefficient of Variance (COV%), Gray Matter Recovery Coefficient (GMRC), Contrast, Cold-Spot RC, and left-to-right GMRC ratio. A COV% ≤ 15% and Contrast ≥ 2.2 were set as acceptance criteria. The procedure was repeated to achieve a 6-mm target EIR in a subset of scans. The method’s robustness against typical dose-calibrator-based errors was assessed. RESULTS: The EIR across systems ranged from 3.3 to 8.1 mm, and an EIR of 8 mm was selected as the target resolution. After harmonization, all scans met acceptable image quality criteria, while only 13 (39.4%) did before. The harmonization procedure resulted in lower inter-system variability indicators: Mean ± SD COV% (from 16.97 ± 6.03 to 7.86 ± 1.47%), GMRC Inter-Quartile Range (0.040–0.012), and Contrast SD (0.14–0.05). Similar results were obtained with a 6-mm FWHM target EIR. Errors of ± 10% in the DRO activity resulted in differences below 1 mm in the estimated EIR. CONCLUSION: Harmonizing the EIR of brain PET scans significantly reduced image quality variability while minimally affecting quantitative accuracy. This method can be used prospectively for harmonizing scans to target sharper resolutions and is robust against dose-calibrator errors. Comparable image quality is attainable in brain PET multi-center studies while maintaining quantitative accuracy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-023-00588-x. |
format | Online Article Text |
id | pubmed-10618151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-106181512023-11-02 Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan Shekari, Mahnaz Verwer, Eline E. Yaqub, Maqsood Daamen, Marcel Buckley, Christopher Frisoni, Giovanni B. Visser, Pieter Jelle Farrar, Gill Barkhof, Frederik Gispert, Juan Domingo Boellaard, Ronald EJNMMI Phys Original Research BACKGROUND: Image harmonization has been proposed to minimize heterogeneity in brain PET scans acquired in multi-center studies. However, standard validated methods and software tools are lacking. Here, we assessed the performance of a framework for the harmonization of brain PET scans in a multi-center European clinical trial. METHOD: Hoffman 3D brain phantoms were acquired in 28 PET systems and reconstructed using site-specific settings. Full Width at Half Maximum (FWHM) of the Effective Image Resolution (EIR) and harmonization kernels were estimated for each scan. The target EIR was selected as the coarsest EIR in the imaging network. Using “Hoffman 3D brain Analysis tool,” indicators of image quality were calculated before and after the harmonization: The Coefficient of Variance (COV%), Gray Matter Recovery Coefficient (GMRC), Contrast, Cold-Spot RC, and left-to-right GMRC ratio. A COV% ≤ 15% and Contrast ≥ 2.2 were set as acceptance criteria. The procedure was repeated to achieve a 6-mm target EIR in a subset of scans. The method’s robustness against typical dose-calibrator-based errors was assessed. RESULTS: The EIR across systems ranged from 3.3 to 8.1 mm, and an EIR of 8 mm was selected as the target resolution. After harmonization, all scans met acceptable image quality criteria, while only 13 (39.4%) did before. The harmonization procedure resulted in lower inter-system variability indicators: Mean ± SD COV% (from 16.97 ± 6.03 to 7.86 ± 1.47%), GMRC Inter-Quartile Range (0.040–0.012), and Contrast SD (0.14–0.05). Similar results were obtained with a 6-mm FWHM target EIR. Errors of ± 10% in the DRO activity resulted in differences below 1 mm in the estimated EIR. CONCLUSION: Harmonizing the EIR of brain PET scans significantly reduced image quality variability while minimally affecting quantitative accuracy. This method can be used prospectively for harmonizing scans to target sharper resolutions and is robust against dose-calibrator errors. Comparable image quality is attainable in brain PET multi-center studies while maintaining quantitative accuracy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-023-00588-x. Springer International Publishing 2023-10-31 /pmc/articles/PMC10618151/ /pubmed/37906338 http://dx.doi.org/10.1186/s40658-023-00588-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Shekari, Mahnaz Verwer, Eline E. Yaqub, Maqsood Daamen, Marcel Buckley, Christopher Frisoni, Giovanni B. Visser, Pieter Jelle Farrar, Gill Barkhof, Frederik Gispert, Juan Domingo Boellaard, Ronald Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan |
title | Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan |
title_full | Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan |
title_fullStr | Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan |
title_full_unstemmed | Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan |
title_short | Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan |
title_sort | harmonization of brain pet images in multi-center pet studies using hoffman phantom scan |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618151/ https://www.ncbi.nlm.nih.gov/pubmed/37906338 http://dx.doi.org/10.1186/s40658-023-00588-x |
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