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Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR

BACKGROUND: Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [(18)F]NaF as a radiotracer, highlighting vulnerable plaques. However, the resulting uptakes are relatively small, and cardiac motion and respiration-induced movement of the heart can impair the r...

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Autores principales: Mayer, Johannes, Wurster, Thomas-Heinrich, Schaeffter, Tobias, Landmesser, Ulf, Morguet, Andreas, Bigalke, Boris, Hamm, Bernd, Brenner, Winfried, Makowski, Marcus R., Kolbitsch, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241750/
https://www.ncbi.nlm.nih.gov/pubmed/33474584
http://dx.doi.org/10.1007/s00259-020-05180-4
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author Mayer, Johannes
Wurster, Thomas-Heinrich
Schaeffter, Tobias
Landmesser, Ulf
Morguet, Andreas
Bigalke, Boris
Hamm, Bernd
Brenner, Winfried
Makowski, Marcus R.
Kolbitsch, Christoph
author_facet Mayer, Johannes
Wurster, Thomas-Heinrich
Schaeffter, Tobias
Landmesser, Ulf
Morguet, Andreas
Bigalke, Boris
Hamm, Bernd
Brenner, Winfried
Makowski, Marcus R.
Kolbitsch, Christoph
author_sort Mayer, Johannes
collection PubMed
description BACKGROUND: Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [(18)F]NaF as a radiotracer, highlighting vulnerable plaques. However, the resulting uptakes are relatively small, and cardiac motion and respiration-induced movement of the heart can impair the reconstructed images due to motion blurring and attenuation correction mismatches. This study aimed to apply an MR-based motion compensation framework to [(18)F]NaF data yielding high-resolution motion-compensated PET and MR images. METHODS: Free-breathing 3-dimensional Dixon MR data were acquired, retrospectively binned into multiple respiratory and cardiac motion states, and split into fat and water fraction using a model-based reconstruction framework. From the dynamic MR reconstructions, both a non-rigid cardiorespiratory motion model and a motion-resolved attenuation map were generated and applied to the PET data to improve image quality. The approach was tested in 10 patients and focal tracer hotspots were evaluated concerning their target-to-background ratio, contrast-to-background ratio, and their diameter. RESULTS: MR-based motion models were successfully applied to compensate for physiological motion in both PET and MR. Target-to-background ratios of identified plaques improved by 7 ± 7%, contrast-to-background ratios by 26 ± 38%, and the plaque diameter decreased by −22 ± 18%. MR-based dynamic attenuation correction strongly reduced attenuation correction artefacts and was not affected by stent-related signal voids in the underlying MR reconstructions. CONCLUSIONS: The MR-based motion correction framework presented here can improve the target-to-background, contrast-to-background, and width of focal tracer hotspots in the coronary system. The dynamic attenuation correction could effectively mitigate the risk of attenuation correction artefacts in the coronaries at the lung-soft tissue boundary. In combination, this could enable a more reproducible and reliable plaque localisation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-020-05180-4.
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spelling pubmed-82417502021-07-14 Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR Mayer, Johannes Wurster, Thomas-Heinrich Schaeffter, Tobias Landmesser, Ulf Morguet, Andreas Bigalke, Boris Hamm, Bernd Brenner, Winfried Makowski, Marcus R. Kolbitsch, Christoph Eur J Nucl Med Mol Imaging Original Article BACKGROUND: Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [(18)F]NaF as a radiotracer, highlighting vulnerable plaques. However, the resulting uptakes are relatively small, and cardiac motion and respiration-induced movement of the heart can impair the reconstructed images due to motion blurring and attenuation correction mismatches. This study aimed to apply an MR-based motion compensation framework to [(18)F]NaF data yielding high-resolution motion-compensated PET and MR images. METHODS: Free-breathing 3-dimensional Dixon MR data were acquired, retrospectively binned into multiple respiratory and cardiac motion states, and split into fat and water fraction using a model-based reconstruction framework. From the dynamic MR reconstructions, both a non-rigid cardiorespiratory motion model and a motion-resolved attenuation map were generated and applied to the PET data to improve image quality. The approach was tested in 10 patients and focal tracer hotspots were evaluated concerning their target-to-background ratio, contrast-to-background ratio, and their diameter. RESULTS: MR-based motion models were successfully applied to compensate for physiological motion in both PET and MR. Target-to-background ratios of identified plaques improved by 7 ± 7%, contrast-to-background ratios by 26 ± 38%, and the plaque diameter decreased by −22 ± 18%. MR-based dynamic attenuation correction strongly reduced attenuation correction artefacts and was not affected by stent-related signal voids in the underlying MR reconstructions. CONCLUSIONS: The MR-based motion correction framework presented here can improve the target-to-background, contrast-to-background, and width of focal tracer hotspots in the coronary system. The dynamic attenuation correction could effectively mitigate the risk of attenuation correction artefacts in the coronaries at the lung-soft tissue boundary. In combination, this could enable a more reproducible and reliable plaque localisation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-020-05180-4. Springer Berlin Heidelberg 2021-01-21 2021 /pmc/articles/PMC8241750/ /pubmed/33474584 http://dx.doi.org/10.1007/s00259-020-05180-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Mayer, Johannes
Wurster, Thomas-Heinrich
Schaeffter, Tobias
Landmesser, Ulf
Morguet, Andreas
Bigalke, Boris
Hamm, Bernd
Brenner, Winfried
Makowski, Marcus R.
Kolbitsch, Christoph
Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR
title Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR
title_full Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR
title_fullStr Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR
title_full_unstemmed Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR
title_short Imaging coronary plaques using 3D motion-compensated [(18)F]NaF PET/MR
title_sort imaging coronary plaques using 3d motion-compensated [(18)f]naf pet/mr
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241750/
https://www.ncbi.nlm.nih.gov/pubmed/33474584
http://dx.doi.org/10.1007/s00259-020-05180-4
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