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Extended MRI-based PET motion correction for cardiac PET/MRI.

Authors :
Aizaz M
van der Pol JAJ
Schneider A
Munoz C
Holtackers RJ
van Cauteren Y
van Langen H
Meeder JG
Rahel BM
Wierts R
Botnar RM
Prieto C
Moonen RPM
Kooi ME
Source :
EJNMMI physics [EJNMMI Phys] 2024 Apr 06; Vol. 11 (1), pp. 36. Date of Electronic Publication: 2024 Apr 06.
Publication Year :
2024

Abstract

Purpose: A 2D image navigator (iNAV) based 3D whole-heart sequence has been used to perform MRI and PET non-rigid respiratory motion correction for hybrid PET/MRI. However, only the PET data acquired during the acquisition of the 3D whole-heart MRI is corrected for respiratory motion. This study introduces and evaluates an MRI-based respiratory motion correction method of the complete PET data.<br />Methods: Twelve oncology patients scheduled for an additional cardiac <superscript>18</superscript> F-Fluorodeoxyglucose ( <superscript>18</superscript> F-FDG) PET/MRI and 15 patients with coronary artery disease (CAD) scheduled for cardiac <superscript>18</superscript> F-Choline ( <superscript>18</superscript> F-FCH) PET/MRI were included. A 2D iNAV recorded the respiratory motion of the myocardium during the 3D whole-heart coronary MR angiography (CMRA) acquisition (~ 10 min). A respiratory belt was used to record the respiratory motion throughout the entire PET/MRI examination (~ 30-90 min). The simultaneously acquired iNAV and respiratory belt signal were used to divide the acquired PET data into 4 bins. The binning was then extended for the complete respiratory belt signal. Data acquired at each bin was reconstructed and combined using iNAV-based motion fields to create a respiratory motion-corrected PET image. Motion-corrected (MC) and non-motion-corrected (NMC) datasets were compared. Gating was also performed to correct cardiac motion. The SUV <subscript>max</subscript> and TBR <subscript>max</subscript> values were calculated for the myocardial wall or a vulnerable coronary plaque for the <superscript>18</superscript> F-FDG and <superscript>18</superscript> F-FCH datasets, respectively.<br />Results: A pair-wise comparison showed that the SUV <subscript>max</subscript> and TBR <subscript>max</subscript> values of the motion corrected (MC) datasets were significantly higher than those for the non-motion-corrected (NMC) datasets (8.2 ± 1.0 vs 7.5 ± 1.0, p < 0.01 and 1.9 ± 0.2 vs 1.2 ± 0.2, p < 0.01, respectively). In addition, the SUV <subscript>max</subscript> and TBR <subscript>max</subscript> of the motion corrected and gated (MC_G) reconstructions were also higher than that of the non-motion-corrected but gated (NMC_G) datasets, although for the TBR <subscript>max</subscript> this difference was not statistically significant (9.6 ± 1.3 vs 9.1 ± 1.2, p = 0.02 and 2.6 ± 0.3 vs 2.4 ± 0.3, p = 0.16, respectively). The respiratory motion-correction did not lead to a change in the signal to noise ratio.<br />Conclusion: The proposed respiratory motion correction method for hybrid PET/MRI improved the image quality of cardiovascular PET scans by increased SUV <subscript>max</subscript> and TBR <subscript>max</subscript> values while maintaining the signal-to-noise ratio. Trial registration METC162043 registered 01/03/2017.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2197-7364
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
EJNMMI physics
Publication Type :
Academic Journal
Accession number :
38581561
Full Text :
https://doi.org/10.1186/s40658-024-00637-z