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PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging
The data presented here provide information about the role of reconstruction parameters on Positron Emission Tomography (PET) image quantification. Multiple phantom measurements in four different Spheres to Background Ratio (SBR) were performed on Biograph 6 TruePoint TrueV PET/CT scanner. PET raw d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237526/ https://www.ncbi.nlm.nih.gov/pubmed/34195308 http://dx.doi.org/10.1016/j.dib.2021.107231 |
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author | Vosoughi, Habibeh Hajizadeh, Mohsen Emami, Farshad Momennezhad, Mehdi Geramifar, Parham |
author_facet | Vosoughi, Habibeh Hajizadeh, Mohsen Emami, Farshad Momennezhad, Mehdi Geramifar, Parham |
author_sort | Vosoughi, Habibeh |
collection | PubMed |
description | The data presented here provide information about the role of reconstruction parameters on Positron Emission Tomography (PET) image quantification. Multiple phantom measurements in four different Spheres to Background Ratio (SBR) were performed on Biograph 6 TruePoint TrueV PET/CT scanner. PET raw data were reconstructed with/without resolution recovery algorithm using six various iteration x subsets with five different Full-Width Half-Maximum (FWHM) values of Gaussian post-smoothing filter. The Recovery Coefficient (RC) of six spheres using three common Volume of Interest (VOI) methods (max, 3D-50% Isocontour, and peak) were calculated. Moreover, SUV(max), SUV(mean), and SUV(peak) and volumetric indices, such as metabolic tumor volume (MTV), volume recovery coefficient (VRC), and total lesion glycolysis (TLG) were measured. RC(max), RC(50%,) and RC(peak) as a function of sphere size were plotted in all reconstruction methods considering different SBRs. The data could be noticeable for standardization and optimization of quantitative metrics in PET imaging. |
format | Online Article Text |
id | pubmed-8237526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-82375262021-06-29 PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging Vosoughi, Habibeh Hajizadeh, Mohsen Emami, Farshad Momennezhad, Mehdi Geramifar, Parham Data Brief Data Article The data presented here provide information about the role of reconstruction parameters on Positron Emission Tomography (PET) image quantification. Multiple phantom measurements in four different Spheres to Background Ratio (SBR) were performed on Biograph 6 TruePoint TrueV PET/CT scanner. PET raw data were reconstructed with/without resolution recovery algorithm using six various iteration x subsets with five different Full-Width Half-Maximum (FWHM) values of Gaussian post-smoothing filter. The Recovery Coefficient (RC) of six spheres using three common Volume of Interest (VOI) methods (max, 3D-50% Isocontour, and peak) were calculated. Moreover, SUV(max), SUV(mean), and SUV(peak) and volumetric indices, such as metabolic tumor volume (MTV), volume recovery coefficient (VRC), and total lesion glycolysis (TLG) were measured. RC(max), RC(50%,) and RC(peak) as a function of sphere size were plotted in all reconstruction methods considering different SBRs. The data could be noticeable for standardization and optimization of quantitative metrics in PET imaging. Elsevier 2021-06-18 /pmc/articles/PMC8237526/ /pubmed/34195308 http://dx.doi.org/10.1016/j.dib.2021.107231 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Vosoughi, Habibeh Hajizadeh, Mohsen Emami, Farshad Momennezhad, Mehdi Geramifar, Parham PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging |
title | PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging |
title_full | PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging |
title_fullStr | PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging |
title_full_unstemmed | PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging |
title_short | PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging |
title_sort | pet nema iq phantom dataset: image reconstruction settings for quantitative pet imaging |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237526/ https://www.ncbi.nlm.nih.gov/pubmed/34195308 http://dx.doi.org/10.1016/j.dib.2021.107231 |
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