Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner

INTRODUCTION: The aim of this study was to evaluate the behavior of a penalized-likelihood image reconstruction method (Q.Clear) under different count statistics and lesion-to-background ratios (LBR) on a BGO scanner, in order to obtain an optimum penalization factor (β value) to study and optimize...

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Autores: Reynés-Llompart, Gabriel, Gámez, Cristina, Vercher Conejero, José Luís, Sabaté Llobera, Aida, Calvo Malvar, Nahúm, Martí-Climent, Josep M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/149147
Acceso en línea:https://hdl.handle.net/2445/149147
Access Level:acceso abierto
Palabra clave:Tomografia per emissió de positrons
Tomografia computada per emissió de fotó simple
Imatges mèdiques
Positron emission tomography
Single-photon emission computed tomography
Imaging systems in medicine
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spelling Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scannerReynés-Llompart, GabrielGámez, CristinaVercher Conejero, José LuísSabaté Llobera, AidaCalvo Malvar, NahúmMartí-Climent, Josep M.Tomografia per emissió de positronsTomografia computada per emissió de fotó simpleImatges mèdiquesPositron emission tomographySingle-photon emission computed tomographyImaging systems in medicineINTRODUCTION: The aim of this study was to evaluate the behavior of a penalized-likelihood image reconstruction method (Q.Clear) under different count statistics and lesion-to-background ratios (LBR) on a BGO scanner, in order to obtain an optimum penalization factor (β value) to study and optimize for different acquisition protocols and clinical goals. METHODS: Both phantom and patient images were evaluated. Data from an image quality phantom were acquired using different Lesion-to-Background ratios and acquisition times. Then, each series of the phantom was reconstructed using β values between 50 and 500, at intervals of 50. Hot and cold contrasts were obtained, as well as background variability and contrast-to-noise ratio (CNR). Fifteen 18 F-FDG patients (five brain scans and 10 torso acquisitions) were acquired and reconstructed using the same β values as in the phantom reconstructions. From each lesion in the torso acquisition, noise, contrast, and signal-to-noise ratio (SNR) were computed. Image quality was assessed by two different nuclear medicine physicians. Additionally, the behaviors of 12 different textural indices were studied over 20 different lesions. RESULTS: Q.Clear quantification and optimization in patient studies depends on the activity concentration as well as on the lesion size. In the studied range, an increase on β is translated in a decrease in lesion contrast and noise. The net product is an overall increase in the SNR, presenting a tendency to a steady value similar to the CNR in phantom data. As the activity concentration or the sphere size increase the optimal β increases, similar results are obtained from clinical data. From the subjective quality assessment, the optimal β value for torso scans is in a range between 300 and 400, and from 100 to 200 for brain scans. For the recommended torso β values, texture indices present coefficients of variation below 10%. CONCLUSIONS: Our phantom and patients demonstrate that improvement of CNR and SNR of Q.Clear algorithm which depends on the studied conditions and the penalization factor. Using the Q.Clear reconstruction algorithm in a BGO scanner, a β value of 350 and 200 appears to be the optimal value for 18F-FDG oncology and brain PET/CT, respectively.American Association of Physicists in Medicine2020202020182020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion9 p.application/pdfhttps://hdl.handle.net/2445/149147Articles publicats en revistes (Ciències Clíniques)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1002/mp.12986Medical Physics, 2018, vol. 45, num. 7, p. 3214-3222https://doi.org/10.1002/mp.12986(c) American Association of Physicists in Medicine, 2018info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1491472026-05-29T05:05:01Z
dc.title.none.fl_str_mv Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
title Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
spellingShingle Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
Reynés-Llompart, Gabriel
Tomografia per emissió de positrons
Tomografia computada per emissió de fotó simple
Imatges mèdiques
Positron emission tomography
Single-photon emission computed tomography
Imaging systems in medicine
title_short Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
title_full Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
title_fullStr Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
title_full_unstemmed Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
title_sort Phantom, clinical, and texture indices evaluation and optimization of a penalized-likelihood image reconstruction method (Q.Clear) on a BGO PET/CT scanner
dc.creator.none.fl_str_mv Reynés-Llompart, Gabriel
Gámez, Cristina
Vercher Conejero, José Luís
Sabaté Llobera, Aida
Calvo Malvar, Nahúm
Martí-Climent, Josep M.
author Reynés-Llompart, Gabriel
author_facet Reynés-Llompart, Gabriel
Gámez, Cristina
Vercher Conejero, José Luís
Sabaté Llobera, Aida
Calvo Malvar, Nahúm
Martí-Climent, Josep M.
author_role author
author2 Gámez, Cristina
Vercher Conejero, José Luís
Sabaté Llobera, Aida
Calvo Malvar, Nahúm
Martí-Climent, Josep M.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Tomografia per emissió de positrons
Tomografia computada per emissió de fotó simple
Imatges mèdiques
Positron emission tomography
Single-photon emission computed tomography
Imaging systems in medicine
topic Tomografia per emissió de positrons
Tomografia computada per emissió de fotó simple
Imatges mèdiques
Positron emission tomography
Single-photon emission computed tomography
Imaging systems in medicine
description INTRODUCTION: The aim of this study was to evaluate the behavior of a penalized-likelihood image reconstruction method (Q.Clear) under different count statistics and lesion-to-background ratios (LBR) on a BGO scanner, in order to obtain an optimum penalization factor (β value) to study and optimize for different acquisition protocols and clinical goals. METHODS: Both phantom and patient images were evaluated. Data from an image quality phantom were acquired using different Lesion-to-Background ratios and acquisition times. Then, each series of the phantom was reconstructed using β values between 50 and 500, at intervals of 50. Hot and cold contrasts were obtained, as well as background variability and contrast-to-noise ratio (CNR). Fifteen 18 F-FDG patients (five brain scans and 10 torso acquisitions) were acquired and reconstructed using the same β values as in the phantom reconstructions. From each lesion in the torso acquisition, noise, contrast, and signal-to-noise ratio (SNR) were computed. Image quality was assessed by two different nuclear medicine physicians. Additionally, the behaviors of 12 different textural indices were studied over 20 different lesions. RESULTS: Q.Clear quantification and optimization in patient studies depends on the activity concentration as well as on the lesion size. In the studied range, an increase on β is translated in a decrease in lesion contrast and noise. The net product is an overall increase in the SNR, presenting a tendency to a steady value similar to the CNR in phantom data. As the activity concentration or the sphere size increase the optimal β increases, similar results are obtained from clinical data. From the subjective quality assessment, the optimal β value for torso scans is in a range between 300 and 400, and from 100 to 200 for brain scans. For the recommended torso β values, texture indices present coefficients of variation below 10%. CONCLUSIONS: Our phantom and patients demonstrate that improvement of CNR and SNR of Q.Clear algorithm which depends on the studied conditions and the penalization factor. Using the Q.Clear reconstruction algorithm in a BGO scanner, a β value of 350 and 200 appears to be the optimal value for 18F-FDG oncology and brain PET/CT, respectively.
publishDate 2018
dc.date.none.fl_str_mv 2018
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/149147
url https://hdl.handle.net/2445/149147
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1002/mp.12986
Medical Physics, 2018, vol. 45, num. 7, p. 3214-3222
https://doi.org/10.1002/mp.12986
dc.rights.none.fl_str_mv (c) American Association of Physicists in Medicine, 2018
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) American Association of Physicists in Medicine, 2018
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9 p.
application/pdf
dc.publisher.none.fl_str_mv American Association of Physicists in Medicine
publisher.none.fl_str_mv American Association of Physicists in Medicine
dc.source.none.fl_str_mv Articles publicats en revistes (Ciències Clíniques)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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