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Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET
Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653943/ https://www.ncbi.nlm.nih.gov/pubmed/33168859 http://dx.doi.org/10.1038/s41598-020-75613-5 |
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author | Klén, R. Teuho, J. Noponen, T. Thielemans, K. Hoppela, E. Lehtonen, E. Sipila, H. T. Teräs, M. Knuuti, J. |
author_facet | Klén, R. Teuho, J. Noponen, T. Thielemans, K. Hoppela, E. Lehtonen, E. Sipila, H. T. Teräs, M. Knuuti, J. |
author_sort | Klén, R. |
collection | PubMed |
description | Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating. |
format | Online Article Text |
id | pubmed-7653943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76539432020-11-12 Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET Klén, R. Teuho, J. Noponen, T. Thielemans, K. Hoppela, E. Lehtonen, E. Sipila, H. T. Teräs, M. Knuuti, J. Sci Rep Article Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating. Nature Publishing Group UK 2020-11-09 /pmc/articles/PMC7653943/ /pubmed/33168859 http://dx.doi.org/10.1038/s41598-020-75613-5 Text en © The Author(s) 2020 Open Access This 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 | Article Klén, R. Teuho, J. Noponen, T. Thielemans, K. Hoppela, E. Lehtonen, E. Sipila, H. T. Teräs, M. Knuuti, J. Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET |
title | Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET |
title_full | Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET |
title_fullStr | Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET |
title_full_unstemmed | Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET |
title_short | Estimation of optimal number of gates in dual gated (18)F-FDG cardiac PET |
title_sort | estimation of optimal number of gates in dual gated (18)f-fdg cardiac pet |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653943/ https://www.ncbi.nlm.nih.gov/pubmed/33168859 http://dx.doi.org/10.1038/s41598-020-75613-5 |
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