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A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom
PET/MRI scanners cannot be qualified in the manner adopted for hybrid PET/CT devices. The main hurdle with qualification in PET/MRI is that attenuation correction (AC) cannot be adequately measured in conventional PET phantoms because of the difficulty in converting the MR images of the physical str...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Nuclear Medicine
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973286/ https://www.ncbi.nlm.nih.gov/pubmed/34301784 http://dx.doi.org/10.2967/jnumed.120.261881 |
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author | Catana, Ciprian Laforest, Richard An, Hongyu Boada, Fernando Cao, Tuoyu Faul, David Jakoby, Bjoern Jansen, Floris P. Kemp, Bradley J. Kinahan, Paul E. Larson, Peder Levine, Michael A. Maniawski, Piotr Mawlawi, Osama McConathy, Jonathan E. McMillan, Alan B. Price, Julie C. Rajagopal, Abhejit Sunderland, John Veit-Haibach, Patrick Wangerin, Kristen A. Ying, Chunwei Hope, Thomas A. |
author_facet | Catana, Ciprian Laforest, Richard An, Hongyu Boada, Fernando Cao, Tuoyu Faul, David Jakoby, Bjoern Jansen, Floris P. Kemp, Bradley J. Kinahan, Paul E. Larson, Peder Levine, Michael A. Maniawski, Piotr Mawlawi, Osama McConathy, Jonathan E. McMillan, Alan B. Price, Julie C. Rajagopal, Abhejit Sunderland, John Veit-Haibach, Patrick Wangerin, Kristen A. Ying, Chunwei Hope, Thomas A. |
author_sort | Catana, Ciprian |
collection | PubMed |
description | PET/MRI scanners cannot be qualified in the manner adopted for hybrid PET/CT devices. The main hurdle with qualification in PET/MRI is that attenuation correction (AC) cannot be adequately measured in conventional PET phantoms because of the difficulty in converting the MR images of the physical structures (e.g., plastic) into electron density maps. Over the last decade, a plethora of novel MRI-based algorithms has been developed to more accurately derive the attenuation properties of the human head, including the skull. Although promising, none of these techniques has yet emerged as an optimal and universally adopted strategy for AC in PET/MRI. In this work, we propose a path for PET/MRI qualification for multicenter brain imaging studies. Specifically, our solution is to separate the head AC from the other factors that affect PET data quantification and use a patient as a phantom to assess the former. The emission data collected on the integrated PET/MRI scanner to be qualified should be reconstructed using both MRI- and CT-based AC methods, and whole-brain qualitative and quantitative (both voxelwise and regional) analyses should be performed. The MRI-based approach will be considered satisfactory if the PET quantification bias is within the acceptance criteria specified here. We have implemented this approach successfully across 2 PET/MRI scanner manufacturers at 2 sites. |
format | Online Article Text |
id | pubmed-8973286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society of Nuclear Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-89732862022-04-15 A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom Catana, Ciprian Laforest, Richard An, Hongyu Boada, Fernando Cao, Tuoyu Faul, David Jakoby, Bjoern Jansen, Floris P. Kemp, Bradley J. Kinahan, Paul E. Larson, Peder Levine, Michael A. Maniawski, Piotr Mawlawi, Osama McConathy, Jonathan E. McMillan, Alan B. Price, Julie C. Rajagopal, Abhejit Sunderland, John Veit-Haibach, Patrick Wangerin, Kristen A. Ying, Chunwei Hope, Thomas A. J Nucl Med Special Contribution PET/MRI scanners cannot be qualified in the manner adopted for hybrid PET/CT devices. The main hurdle with qualification in PET/MRI is that attenuation correction (AC) cannot be adequately measured in conventional PET phantoms because of the difficulty in converting the MR images of the physical structures (e.g., plastic) into electron density maps. Over the last decade, a plethora of novel MRI-based algorithms has been developed to more accurately derive the attenuation properties of the human head, including the skull. Although promising, none of these techniques has yet emerged as an optimal and universally adopted strategy for AC in PET/MRI. In this work, we propose a path for PET/MRI qualification for multicenter brain imaging studies. Specifically, our solution is to separate the head AC from the other factors that affect PET data quantification and use a patient as a phantom to assess the former. The emission data collected on the integrated PET/MRI scanner to be qualified should be reconstructed using both MRI- and CT-based AC methods, and whole-brain qualitative and quantitative (both voxelwise and regional) analyses should be performed. The MRI-based approach will be considered satisfactory if the PET quantification bias is within the acceptance criteria specified here. We have implemented this approach successfully across 2 PET/MRI scanner manufacturers at 2 sites. Society of Nuclear Medicine 2022-04 /pmc/articles/PMC8973286/ /pubmed/34301784 http://dx.doi.org/10.2967/jnumed.120.261881 Text en © 2022 by the Society of Nuclear Medicine and Molecular Imaging. https://creativecommons.org/licenses/by/4.0/Immediate Open Access: Creative Commons Attribution 4.0 International License (CC BY) allows users to share and adapt with attribution, excluding materials credited to previous publications. License: https://creativecommons.org/licenses/by/4.0/. Details: http://jnm.snmjournals.org/site/misc/permission.xhtml. |
spellingShingle | Special Contribution Catana, Ciprian Laforest, Richard An, Hongyu Boada, Fernando Cao, Tuoyu Faul, David Jakoby, Bjoern Jansen, Floris P. Kemp, Bradley J. Kinahan, Paul E. Larson, Peder Levine, Michael A. Maniawski, Piotr Mawlawi, Osama McConathy, Jonathan E. McMillan, Alan B. Price, Julie C. Rajagopal, Abhejit Sunderland, John Veit-Haibach, Patrick Wangerin, Kristen A. Ying, Chunwei Hope, Thomas A. A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom |
title | A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom |
title_full | A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom |
title_fullStr | A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom |
title_full_unstemmed | A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom |
title_short | A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom |
title_sort | path to qualification of pet/mri scanners for multicenter brain imaging studies: evaluation of mri-based attenuation correction methods using a patient phantom |
topic | Special Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973286/ https://www.ncbi.nlm.nih.gov/pubmed/34301784 http://dx.doi.org/10.2967/jnumed.120.261881 |
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