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Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging
PURPOSE: Partial-volume correction (PVC) using the Geometric Transfer Matrix (GTM) method is used in positron emission tomography (PET) to compensate for the effects of spatial resolution on quantitation. We evaluate the effect of misspecification of scanner point-spread function (PSF) on GTM result...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292473/ https://www.ncbi.nlm.nih.gov/pubmed/34283320 http://dx.doi.org/10.1186/s40658-021-00403-5 |
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author | Laymon, Charles M. Minhas, Davneet S. Royse, Sarah K. Aizenstein, Howard J. Cohen, Ann D. Tudorascu, Dana L. Klunk, William E. |
author_facet | Laymon, Charles M. Minhas, Davneet S. Royse, Sarah K. Aizenstein, Howard J. Cohen, Ann D. Tudorascu, Dana L. Klunk, William E. |
author_sort | Laymon, Charles M. |
collection | PubMed |
description | PURPOSE: Partial-volume correction (PVC) using the Geometric Transfer Matrix (GTM) method is used in positron emission tomography (PET) to compensate for the effects of spatial resolution on quantitation. We evaluate the effect of misspecification of scanner point-spread function (PSF) on GTM results in amyloid imaging, including the effect on amyloid status classification (positive or negative). METHODS: Twenty-nine subjects with Pittsburgh Compound B ([(11)C]PiB) PET and structural T1 MR imaging were analyzed. FreeSurfer 5.3 (FS) was used to parcellate MR images into regions-of-interest (ROIs) that were used to extract radioactivity concentration values from the PET images. GTM PVC was performed using our “standard” PSF parameterization [3D Gaussian, full-width at half-maximum (w) of approximately 5 mm]. Additional GTM PVC was performed with “incorrect” parameterizations, taken around the correct value. The result is a set of regional activity values for each of the GTM applications. For each case, activity values from various ROIs were combined and normalized to produce standardized uptake value ratios (SUVRs) for nine standard [(11)C]PiB quantitation ROIs and a global region. GTM operating-point characteristics were determined from the slope of apparent SUVR versus w curves. RESULTS: Errors in specification of w on the order of 1 mm (3D) mainly produce only modest errors of up to a few percent. An exception was the anterior ventral striatum in which fractional errors of up to 0.29 per millimeter (3D) of error in w were observed. CONCLUSION: While this study does not address all the issues regarding the quantitative strengths and weakness of GTM PVC, we find that with reasonable caution, the unavoidable inaccuracies associated with PSF specification do not preclude its use in amyloid quantitation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-021-00403-5. |
format | Online Article Text |
id | pubmed-8292473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82924732021-08-05 Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging Laymon, Charles M. Minhas, Davneet S. Royse, Sarah K. Aizenstein, Howard J. Cohen, Ann D. Tudorascu, Dana L. Klunk, William E. EJNMMI Phys Original Research PURPOSE: Partial-volume correction (PVC) using the Geometric Transfer Matrix (GTM) method is used in positron emission tomography (PET) to compensate for the effects of spatial resolution on quantitation. We evaluate the effect of misspecification of scanner point-spread function (PSF) on GTM results in amyloid imaging, including the effect on amyloid status classification (positive or negative). METHODS: Twenty-nine subjects with Pittsburgh Compound B ([(11)C]PiB) PET and structural T1 MR imaging were analyzed. FreeSurfer 5.3 (FS) was used to parcellate MR images into regions-of-interest (ROIs) that were used to extract radioactivity concentration values from the PET images. GTM PVC was performed using our “standard” PSF parameterization [3D Gaussian, full-width at half-maximum (w) of approximately 5 mm]. Additional GTM PVC was performed with “incorrect” parameterizations, taken around the correct value. The result is a set of regional activity values for each of the GTM applications. For each case, activity values from various ROIs were combined and normalized to produce standardized uptake value ratios (SUVRs) for nine standard [(11)C]PiB quantitation ROIs and a global region. GTM operating-point characteristics were determined from the slope of apparent SUVR versus w curves. RESULTS: Errors in specification of w on the order of 1 mm (3D) mainly produce only modest errors of up to a few percent. An exception was the anterior ventral striatum in which fractional errors of up to 0.29 per millimeter (3D) of error in w were observed. CONCLUSION: While this study does not address all the issues regarding the quantitative strengths and weakness of GTM PVC, we find that with reasonable caution, the unavoidable inaccuracies associated with PSF specification do not preclude its use in amyloid quantitation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-021-00403-5. Springer International Publishing 2021-07-20 /pmc/articles/PMC8292473/ /pubmed/34283320 http://dx.doi.org/10.1186/s40658-021-00403-5 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 Laymon, Charles M. Minhas, Davneet S. Royse, Sarah K. Aizenstein, Howard J. Cohen, Ann D. Tudorascu, Dana L. Klunk, William E. Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging |
title | Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging |
title_full | Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging |
title_fullStr | Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging |
title_full_unstemmed | Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging |
title_short | Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [(11)C]PiB amyloid imaging |
title_sort | characterization of point-spread function specification error on geometric transfer matrix partial volume correction in [(11)c]pib amyloid imaging |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292473/ https://www.ncbi.nlm.nih.gov/pubmed/34283320 http://dx.doi.org/10.1186/s40658-021-00403-5 |
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