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

dc.contributor.authorMayer, Johannes
dc.contributor.authorWurster, Thomas-Heinrich
dc.contributor.authorSchaeffter, Tobias
dc.contributor.authorLandmesser, Ulf
dc.contributor.authorMorguet, Andreas
dc.contributor.authorBigalke, Boris
dc.contributor.authorHamm, Bernd
dc.contributor.authorBrenner, Winfried
dc.contributor.authorMakowski, Marcus R.
dc.contributor.authorKolbitsch, Christoph
dc.date.accessioned2023-04-05T09:47:02Z
dc.date.available2023-04-05T09:47:02Z
dc.date.issued2021-01-21
dc.date.updated2023-03-24T13:17:36Z
dc.description.abstractBackground: Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [18F]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 [18F]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.en
dc.description.sponsorshipDFG, 289347353, GRK 2260: BIOQIC - Biophysikalisch fundierte, quantitative Bildgebung für die klinische Diagnose
dc.description.sponsorshipDFG, 372486779, SFB 1340: In vivo Visualisierung der pathologisch veränderten Extrazellulärmatrix „Matrix in Vision“
dc.identifier.eissn1619-7089
dc.identifier.issn1619-7070
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/18442
dc.identifier.urihttps://doi.org/10.14279/depositonce-17251
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.subject.othersimultaneous PET/MRen
dc.subject.othermotion compensationen
dc.subject.other[18F]NaF cardiac imagingen
dc.subject.otheratherosclerosisen
dc.subject.othercardiac and respiratory motionen
dc.titleImaging coronary plaques using 3D motion-compensated [18F]NaF PET/MRen
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.doi10.1007/s00259-020-05180-4
dcterms.bibliographicCitation.issue8
dcterms.bibliographicCitation.journaltitleEuropean Journal of Nuclear Medicine and Molecular Imaging
dcterms.bibliographicCitation.originalpublishernameSpringer Nature
dcterms.bibliographicCitation.originalpublisherplaceHeidelberg
dcterms.bibliographicCitation.pageend2465
dcterms.bibliographicCitation.pagestart2455
dcterms.bibliographicCitation.volume48
dcterms.rightsHolder.referenceCreative-Commons-Lizenz
tub.accessrights.dnbfree
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Maschinenkonstruktion und Systemtechnik::FG Medizintechnik
tub.publisher.universityorinstitutionTechnische Universität Berlin

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