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Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System
The aim of this study was to validate quantitative performance of a newly released simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) scanner, by using MR-based attenuation correction (MRAC), both in phantom study and in patient study. PET/MRI image uniformities of a ph...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915003/ https://www.ncbi.nlm.nih.gov/pubmed/31886254 http://dx.doi.org/10.1155/2019/8213215 |
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author | Liu, Guobing Cao, Tuoyu Hu, Lingzhi Zheng, Jiaxu Pang, Lifang Hu, Pengcheng Gu, Yushen Shi, Hongcheng |
author_facet | Liu, Guobing Cao, Tuoyu Hu, Lingzhi Zheng, Jiaxu Pang, Lifang Hu, Pengcheng Gu, Yushen Shi, Hongcheng |
author_sort | Liu, Guobing |
collection | PubMed |
description | The aim of this study was to validate quantitative performance of a newly released simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) scanner, by using MR-based attenuation correction (MRAC), both in phantom study and in patient study. PET/MRI image uniformities of a phantom under different hardware configurations were tested and compared. Thirty patients were examined with 2-deoxy-2-[(18)F]fluoro-D-glucose ((18)F-FDG) PET/computed tomography (CT) and subsequent PET/MRI. PET images from PET/MRI were corrected with MRAC (PET(MR)), CT-based attenuation maps (μ-maps, PET(CT)), and segmented CT μ-maps (PET(CTSeg)) derived from PET/CT. Standardized uptake values (SUVs) were compared among the 3 sets of PET in main organs (bone, liver and lung) and in 52 FDG-avid lesions, including soft-tissue lesions and bone lesions. The result showed that PET imaging uniformities of PET/MRI under different configurations were good (<8.8%). The SUV differences among the 3 sets of PET varied with organs and lesion types. In detail, the mean relative differences of SUV between PET(MR) and PET(CT) were as follows: −18.8%, bone (SUV(mean)); −8.0%, liver (SUV(mean)); −12.2%, lung (SUV(mean)); −18.1%, bone lesions (SUV(mean)); −13.3%, bone lesions (SUV(max)); −8.2%, soft-tissue lesions (SUV(mean)); and −7.3%, soft-tissue lesions (SUV(max)). The mean relative differences between PET(MR) and PET(CTSeg) were as follows: −19.0%, bone (SUV(mean)); −3.5%, liver (SUV(mean)); −3.3%, lung (SUV(mean)); −19.3%, bone lesions (SUV(mean)); −17.5%, bone lesions (SUV(max)); −5.5%, soft-tissue lesions (SUV(mean)); and −4.4%, soft-tissue lesions (SUV(max)). The differences of SUV between PET(MR) and PET(CT) were larger than those between PET(MR) and PET(CTSeg), in both soft tissue and soft-tissue lesions (P < 0.001), but not in bone or bone lesions. In conclusion, MRAC in the newly released PET/MR system is accurate in most tissues, with SUV deviations being generally less than 10%, compared to PET/CT. In bone, however, underestimations can be substantial, which may be partially attributed to segmentation of the MR-based μ-maps. |
format | Online Article Text |
id | pubmed-6915003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-69150032019-12-29 Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System Liu, Guobing Cao, Tuoyu Hu, Lingzhi Zheng, Jiaxu Pang, Lifang Hu, Pengcheng Gu, Yushen Shi, Hongcheng Biomed Res Int Research Article The aim of this study was to validate quantitative performance of a newly released simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) scanner, by using MR-based attenuation correction (MRAC), both in phantom study and in patient study. PET/MRI image uniformities of a phantom under different hardware configurations were tested and compared. Thirty patients were examined with 2-deoxy-2-[(18)F]fluoro-D-glucose ((18)F-FDG) PET/computed tomography (CT) and subsequent PET/MRI. PET images from PET/MRI were corrected with MRAC (PET(MR)), CT-based attenuation maps (μ-maps, PET(CT)), and segmented CT μ-maps (PET(CTSeg)) derived from PET/CT. Standardized uptake values (SUVs) were compared among the 3 sets of PET in main organs (bone, liver and lung) and in 52 FDG-avid lesions, including soft-tissue lesions and bone lesions. The result showed that PET imaging uniformities of PET/MRI under different configurations were good (<8.8%). The SUV differences among the 3 sets of PET varied with organs and lesion types. In detail, the mean relative differences of SUV between PET(MR) and PET(CT) were as follows: −18.8%, bone (SUV(mean)); −8.0%, liver (SUV(mean)); −12.2%, lung (SUV(mean)); −18.1%, bone lesions (SUV(mean)); −13.3%, bone lesions (SUV(max)); −8.2%, soft-tissue lesions (SUV(mean)); and −7.3%, soft-tissue lesions (SUV(max)). The mean relative differences between PET(MR) and PET(CTSeg) were as follows: −19.0%, bone (SUV(mean)); −3.5%, liver (SUV(mean)); −3.3%, lung (SUV(mean)); −19.3%, bone lesions (SUV(mean)); −17.5%, bone lesions (SUV(max)); −5.5%, soft-tissue lesions (SUV(mean)); and −4.4%, soft-tissue lesions (SUV(max)). The differences of SUV between PET(MR) and PET(CT) were larger than those between PET(MR) and PET(CTSeg), in both soft tissue and soft-tissue lesions (P < 0.001), but not in bone or bone lesions. In conclusion, MRAC in the newly released PET/MR system is accurate in most tissues, with SUV deviations being generally less than 10%, compared to PET/CT. In bone, however, underestimations can be substantial, which may be partially attributed to segmentation of the MR-based μ-maps. Hindawi 2019-11-28 /pmc/articles/PMC6915003/ /pubmed/31886254 http://dx.doi.org/10.1155/2019/8213215 Text en Copyright © 2019 Guobing Liu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Guobing Cao, Tuoyu Hu, Lingzhi Zheng, Jiaxu Pang, Lifang Hu, Pengcheng Gu, Yushen Shi, Hongcheng Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System |
title | Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System |
title_full | Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System |
title_fullStr | Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System |
title_full_unstemmed | Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System |
title_short | Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System |
title_sort | validation of mr-based attenuation correction of a newly released whole-body simultaneous pet/mr system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915003/ https://www.ncbi.nlm.nih.gov/pubmed/31886254 http://dx.doi.org/10.1155/2019/8213215 |
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