Practical PET Respiratory Motion Correction in Clinical PET/MR
Richard Manber1, Kris Thielemans2, Brian F Hutton3
1Division of Medicine, Centre for Medical Imaging, University College London, London, United Kingdom r.manber@ucl.ac.uk.
Summary
This study introduces a new method to correct respiratory motion in PET/MR scans using a short MR scan. The technique improves PET image quality and uptake parameter accuracy without external hardware.
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Radiology
Background:
- Respiratory motion during PET scans causes image blurring and underestimates uptake parameters.
- Integrated PET/MR scanners offer opportunities to use MR for PET motion correction.
- Existing methods may require external hardware or modifications to standard sequences.
Purpose of the Study:
- To develop and evaluate a practical, anatomy-independent MR-based strategy for correcting respiratory motion in PET data.
- To improve the quality of PET images acquired simultaneously or up to 1 hour prior to motion-capturing MR scans.
Main Methods:
- A 1-minute dynamic MR scan was used to extract respiratory motion information.
- A respiratory signal was derived from PET list-mode data and used for gating and motion modeling.
- PET image reconstruction incorporated the estimated motion for a single motion-corrected image.
- Validation involved comparing PET-derived and MR-derived respiratory signals and assessing image quality improvements.
Main Results:
- A strong correlation (mean 0.89) was observed between PET-derived and MR-derived respiratory signals.
- Clinical case studies demonstrated improved image sharpness and reduced artifacts in PET/MR scans.
- Uptake parameters (SUVpeak, SUVmax) showed significant increases in lesions after motion correction.
Conclusions:
- A respiratory signal can be reliably extracted from raw PET data.
- Clinical PET image quality is enhanced with a brief additional PET/MR acquisition.
- The proposed method is practical, requiring no external hardware or changes to standard MR sequences.
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