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Published on: December 19, 2013
Motion-Corrected Imaging of the Aortic Valve with 18F-NaF PET/CT and PET/MRI: A Feasibility Study
Mhairi K Doris1,2, Mathieu Rubeaux1, Tania Pawade2
1Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Abstract:
We investigated whether motion correction of gated 18F-fluoride PET/CT and PET/MRI of the aortic valve could improve PET quantitation and image quality. Methods: A diffeomorphic, mass-preserving, anatomy-guided registration algorithm was used to align the PET images from 4 cardiac gates, preserving all counts, and apply them to the PET/MRI and PET/CT data of 6 patients with aortic stenosis. Measured signal-to-noise ratios (SNRs) and target-to-background ratios (TBRs) were compared with the standard method of using only the diastolic gate. Results: High-intensity aortic valve 18F-fluoride uptake was observed in all patients. After motion correction, SNR and TBR increased compared with the median diastolic gate (SNR, 51.61 vs. 21.0; TBR, 2.85 vs. 2.22) and the median summed data (SNR, 51.61 vs. 34.10; TBR, 2.85 vs. 1.95) (P = 0.028 for all). Furthermore, noise decreased from 0.105 (median, diastolic) to 0.042 (median, motion-corrected) (P = 0.028). Conclusion: Motion correction of hybrid 18F-fluoride PET markedly improves SNR, resulting in improved image quality.
Insights
Motion correction significantly enhances imaging for aortic valve 18F-fluoride PET/CT and PET/MRI. This technique improves signal-to-noise ratios and target-to-background ratios, leading to better image quality and quantitation.
Area of Science:
- Nuclear Medicine
- Medical Imaging
- Cardiovascular Imaging
Background:
- Hybrid imaging with 18F-fluoride PET/CT and PET/MRI is emerging for aortic valve assessment.
- Cardiac motion can degrade image quality and quantitation in gated PET studies.
- Accurate assessment of aortic valve calcification is crucial for diagnosing and managing aortic stenosis.
Observation:
- 18F-fluoride shows high uptake in the aortic valve in patients with aortic stenosis.
- Gated PET data from multiple cardiac phases are available.
- A novel motion correction algorithm was applied to align PET images from 4 cardiac gates.
Findings:
- Motion correction significantly increased signal-to-noise ratio (SNR) from 21.0 to 51.61 compared to the diastolic gate.
- Target-to-background ratio (TBR) improved from 2.22 to 2.85 after motion correction.
- Image noise was reduced by over 50% with motion correction (0.105 to 0.042).
Implications:
- Motion correction is a valuable tool for improving the diagnostic accuracy of 18F-fluoride PET imaging of the aortic valve.
- Enhanced image quality facilitates more reliable PET quantitation for assessing aortic valve disease.
- This technique holds promise for better patient stratification and treatment monitoring in aortic stenosis.
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