Cargando…
Evaluation of image quality with four positron emitters and three preclinical PET/CT systems
BACKGROUND: We investigated the image quality of (11)C, (68)Ga, (18)F and (89)Zr, which have different positron fractions, physical half-lifes and positron ranges. Three small animal positron emission tomography/computed tomography (PET/CT) systems were used in the evaluation, including the Siemens...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728905/ https://www.ncbi.nlm.nih.gov/pubmed/33301074 http://dx.doi.org/10.1186/s13550-020-00724-z |
_version_ | 1783621361399234560 |
---|---|
author | Teuho, Jarmo Riehakainen, Leon Honkaniemi, Aake Moisio, Olli Han, Chunlei Tirri, Marko Liu, Shihao Grönroos, Tove J. Liu, Jie Wan, Lin Liang, Xiao Ling, Yiqing Hua, Yuexuan Roivainen, Anne Knuuti, Juhani Xie, Qingguo Teräs, Mika D’Ascenzo, Nicola Klén, Riku |
author_facet | Teuho, Jarmo Riehakainen, Leon Honkaniemi, Aake Moisio, Olli Han, Chunlei Tirri, Marko Liu, Shihao Grönroos, Tove J. Liu, Jie Wan, Lin Liang, Xiao Ling, Yiqing Hua, Yuexuan Roivainen, Anne Knuuti, Juhani Xie, Qingguo Teräs, Mika D’Ascenzo, Nicola Klén, Riku |
author_sort | Teuho, Jarmo |
collection | PubMed |
description | BACKGROUND: We investigated the image quality of (11)C, (68)Ga, (18)F and (89)Zr, which have different positron fractions, physical half-lifes and positron ranges. Three small animal positron emission tomography/computed tomography (PET/CT) systems were used in the evaluation, including the Siemens Inveon, RAYCAN X5 and Molecubes β-cube. The evaluation was performed on a single scanner level using the national electrical manufacturers association (NEMA) image quality phantom and analysis protocol. Acquisitions were performed with the standard NEMA protocol for (18)F and using a radionuclide-specific acquisition time for (11)C, (68)Ga and (89)Zr. Images were assessed using percent recovery coefficient (%RC), percentage standard deviation (%STD), image uniformity (%SD), spill-over ratio (SOR) and evaluation of image quantification. RESULTS: (68)Ga had the lowest %RC (< 62%) across all systems. (18)F had the highest maximum %RC (> 85%) and lowest %STD for the 5 mm rod across all systems. For (11)C and (89)Zr, the maximum %RC was close (> 76%) to the %RC with (18)F. A larger SOR were measured in water with (11)C and (68)Ga compared to (18)F on all systems. SOR in air reflected image reconstruction and data correction performance. Large variation in image quantification was observed, with maximal errors of 22.73% ((89)Zr, Inveon), 17.54% ((89)Zr, RAYCAN) and − 14.87% ((68)Ga, Molecubes). CONCLUSIONS: The systems performed most optimal in terms of NEMA image quality parameters when using (18)F, where (11)C and (89)Zr performed slightly worse than (18)F. The performance was least optimal when using (68)Ga, due to large positron range. The large quantification differences prompt optimization not only by terms of image quality but also quantification. Further investigation should be performed to find an appropriate calibration and harmonization protocol and the evaluation should be conducted on a multi-scanner and multi-center level. |
format | Online Article Text |
id | pubmed-7728905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77289052020-12-17 Evaluation of image quality with four positron emitters and three preclinical PET/CT systems Teuho, Jarmo Riehakainen, Leon Honkaniemi, Aake Moisio, Olli Han, Chunlei Tirri, Marko Liu, Shihao Grönroos, Tove J. Liu, Jie Wan, Lin Liang, Xiao Ling, Yiqing Hua, Yuexuan Roivainen, Anne Knuuti, Juhani Xie, Qingguo Teräs, Mika D’Ascenzo, Nicola Klén, Riku EJNMMI Res Original Research BACKGROUND: We investigated the image quality of (11)C, (68)Ga, (18)F and (89)Zr, which have different positron fractions, physical half-lifes and positron ranges. Three small animal positron emission tomography/computed tomography (PET/CT) systems were used in the evaluation, including the Siemens Inveon, RAYCAN X5 and Molecubes β-cube. The evaluation was performed on a single scanner level using the national electrical manufacturers association (NEMA) image quality phantom and analysis protocol. Acquisitions were performed with the standard NEMA protocol for (18)F and using a radionuclide-specific acquisition time for (11)C, (68)Ga and (89)Zr. Images were assessed using percent recovery coefficient (%RC), percentage standard deviation (%STD), image uniformity (%SD), spill-over ratio (SOR) and evaluation of image quantification. RESULTS: (68)Ga had the lowest %RC (< 62%) across all systems. (18)F had the highest maximum %RC (> 85%) and lowest %STD for the 5 mm rod across all systems. For (11)C and (89)Zr, the maximum %RC was close (> 76%) to the %RC with (18)F. A larger SOR were measured in water with (11)C and (68)Ga compared to (18)F on all systems. SOR in air reflected image reconstruction and data correction performance. Large variation in image quantification was observed, with maximal errors of 22.73% ((89)Zr, Inveon), 17.54% ((89)Zr, RAYCAN) and − 14.87% ((68)Ga, Molecubes). CONCLUSIONS: The systems performed most optimal in terms of NEMA image quality parameters when using (18)F, where (11)C and (89)Zr performed slightly worse than (18)F. The performance was least optimal when using (68)Ga, due to large positron range. The large quantification differences prompt optimization not only by terms of image quality but also quantification. Further investigation should be performed to find an appropriate calibration and harmonization protocol and the evaluation should be conducted on a multi-scanner and multi-center level. Springer Berlin Heidelberg 2020-12-10 /pmc/articles/PMC7728905/ /pubmed/33301074 http://dx.doi.org/10.1186/s13550-020-00724-z Text en © The Author(s) 2020 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/. |
spellingShingle | Original Research Teuho, Jarmo Riehakainen, Leon Honkaniemi, Aake Moisio, Olli Han, Chunlei Tirri, Marko Liu, Shihao Grönroos, Tove J. Liu, Jie Wan, Lin Liang, Xiao Ling, Yiqing Hua, Yuexuan Roivainen, Anne Knuuti, Juhani Xie, Qingguo Teräs, Mika D’Ascenzo, Nicola Klén, Riku Evaluation of image quality with four positron emitters and three preclinical PET/CT systems |
title | Evaluation of image quality with four positron emitters and three preclinical PET/CT systems |
title_full | Evaluation of image quality with four positron emitters and three preclinical PET/CT systems |
title_fullStr | Evaluation of image quality with four positron emitters and three preclinical PET/CT systems |
title_full_unstemmed | Evaluation of image quality with four positron emitters and three preclinical PET/CT systems |
title_short | Evaluation of image quality with four positron emitters and three preclinical PET/CT systems |
title_sort | evaluation of image quality with four positron emitters and three preclinical pet/ct systems |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728905/ https://www.ncbi.nlm.nih.gov/pubmed/33301074 http://dx.doi.org/10.1186/s13550-020-00724-z |
work_keys_str_mv | AT teuhojarmo evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT riehakainenleon evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT honkaniemiaake evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT moisioolli evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT hanchunlei evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT tirrimarko evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT liushihao evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT gronroostovej evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT liujie evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT wanlin evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT liangxiao evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT lingyiqing evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT huayuexuan evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT roivainenanne evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT knuutijuhani evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT xieqingguo evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT terasmika evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT dascenzonicola evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems AT klenriku evaluationofimagequalitywithfourpositronemittersandthreepreclinicalpetctsystems |