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Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR

Coronary artery disease (CAD) is caused by the formation of plaques in the coronary arteries and is one of the most common cardiovascular diseases. NaF-PET can be used to assess plaque composition, which could be important for therapy planning. One of the main challenges of NaF-PET is cardiac and re...

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Autores principales: Mayer, Johannes, Jin, Yining, Wurster, Thomas-Heinrich, Makowski, Marcus R., Kolbitsch, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107649/
https://www.ncbi.nlm.nih.gov/pubmed/33966463
http://dx.doi.org/10.1098/rsta.2020.0202
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author Mayer, Johannes
Jin, Yining
Wurster, Thomas-Heinrich
Makowski, Marcus R.
Kolbitsch, Christoph
author_facet Mayer, Johannes
Jin, Yining
Wurster, Thomas-Heinrich
Makowski, Marcus R.
Kolbitsch, Christoph
author_sort Mayer, Johannes
collection PubMed
description Coronary artery disease (CAD) is caused by the formation of plaques in the coronary arteries and is one of the most common cardiovascular diseases. NaF-PET can be used to assess plaque composition, which could be important for therapy planning. One of the main challenges of NaF-PET is cardiac and respiratory motion which can strongly impair diagnostic accuracy. In this study, we investigated the use of a synergistic image registration approach which combined motion-resolved MR and PET data to estimate cardiac and respiratory motion. This motion estimation could then be used to improve the NaF-PET image quality. The approach was evaluated with numerical simulations and in vivo scans of patients suffering from CAD. In numerical simulations, it was shown, that combining MR and PET information can improve the accuracy of motion estimation by more than 15%. For the in vivo scans, the synergistic image registration led to an improvement in uptake visualization. This is the first study to assess the benefit of combining MR and NaF-PET for cardiac and respiratory motion estimation. Further patient evaluation is required to fully evaluate the potential of this approach. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.
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spelling pubmed-81076492022-02-02 Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR Mayer, Johannes Jin, Yining Wurster, Thomas-Heinrich Makowski, Marcus R. Kolbitsch, Christoph Philos Trans A Math Phys Eng Sci Articles Coronary artery disease (CAD) is caused by the formation of plaques in the coronary arteries and is one of the most common cardiovascular diseases. NaF-PET can be used to assess plaque composition, which could be important for therapy planning. One of the main challenges of NaF-PET is cardiac and respiratory motion which can strongly impair diagnostic accuracy. In this study, we investigated the use of a synergistic image registration approach which combined motion-resolved MR and PET data to estimate cardiac and respiratory motion. This motion estimation could then be used to improve the NaF-PET image quality. The approach was evaluated with numerical simulations and in vivo scans of patients suffering from CAD. In numerical simulations, it was shown, that combining MR and PET information can improve the accuracy of motion estimation by more than 15%. For the in vivo scans, the synergistic image registration led to an improvement in uptake visualization. This is the first study to assess the benefit of combining MR and NaF-PET for cardiac and respiratory motion estimation. Further patient evaluation is required to fully evaluate the potential of this approach. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’. The Royal Society Publishing 2021-06-28 2021-05-10 /pmc/articles/PMC8107649/ /pubmed/33966463 http://dx.doi.org/10.1098/rsta.2020.0202 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Mayer, Johannes
Jin, Yining
Wurster, Thomas-Heinrich
Makowski, Marcus R.
Kolbitsch, Christoph
Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR
title Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR
title_full Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR
title_fullStr Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR
title_full_unstemmed Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR
title_short Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR
title_sort evaluation of synergistic image registration for motion-corrected coronary naf-pet-mr
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107649/
https://www.ncbi.nlm.nih.gov/pubmed/33966463
http://dx.doi.org/10.1098/rsta.2020.0202
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