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Updated: Jun 29, 2025
MRI and PET in Mouse Models of Myocardial Infarction
Published on: December 19, 2013
Extended MRI-based PET motion correction for cardiac PET/MRI
Mueez Aizaz1,2, Jochem A J van der Pol1,2, Alina Schneider3
1CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.
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.
Methods:
Twelve oncology patients scheduled for an additional cardiac 18F-Fluorodeoxyglucose (18F-FDG) PET/MRI and 15 patients with coronary artery disease (CAD) scheduled for cardiac 18F-Choline (18F-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 SUVmax and TBRmax values were calculated for the myocardial wall or a vulnerable coronary plaque for the 18F-FDG and 18F-FCH datasets, respectively.
Results:
A pair-wise comparison showed that the SUVmax and TBRmax 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 SUVmax and TBRmax 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 TBRmax 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.
Conclusion:
The proposed respiratory motion correction method for hybrid PET/MRI improved the image quality of cardiovascular PET scans by increased SUVmax and TBRmax values while maintaining the signal-to-noise ratio. Trial registration METC162043 registered 01/03/2017.
Insights
This study introduces a new MRI-based respiratory motion correction method for hybrid PET/MRI scans. The technique significantly improves cardiovascular PET image quality by increasing SUVmax and TBRmax values without affecting signal-to-noise ratio.
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Cardiovascular Imaging
Background:
- Hybrid PET/MRI offers advanced diagnostic capabilities but is challenged by respiratory motion artifacts.
- Current motion correction methods for hybrid PET/MRI often only correct PET data acquired during specific MRI sequences.
- A comprehensive MRI-based respiratory motion correction for the entire PET acquisition is needed to improve image quality.
Purpose of the Study:
- To introduce and evaluate an MRI-based respiratory motion correction method for complete PET data in hybrid PET/MRI.
- To assess the impact of this novel correction method on image quality metrics in cardiac PET scans.
- To compare the proposed method against existing non-motion-corrected approaches.
Main Methods:
- The study included 27 patients undergoing cardiac 18F-FDG or 18F-FCH PET/MRI.
- A 2D image navigator (iNAV) and respiratory belt recorded motion throughout the PET/MRI examination.
- PET data was binned, reconstructed using iNAV-based motion fields, and compared between motion-corrected (MC) and non-motion-corrected (NMC) datasets, with and without cardiac gating.
Main Results:
- Motion-corrected (MC) datasets showed significantly higher SUVmax and TBRmax values compared to non-motion-corrected (NMC) datasets (p < 0.01).
- MC and gated (MC_G) reconstructions also demonstrated higher values than NMC and gated (NMC_G) reconstructions, though TBRmax difference was not significant (p=0.16).
- Respiratory motion correction did not alter the signal-to-noise ratio of the images.
Conclusions:
- The proposed MRI-based respiratory motion correction method effectively enhances cardiovascular PET image quality in hybrid PET/MRI.
- The technique leads to significant improvements in SUVmax and TBRmax, crucial for accurate diagnosis.
- This method maintains image signal-to-noise ratio, ensuring diagnostic reliability.
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