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Combining Prospective and Retrospective Motion Correction, Using the Scout Accelerated Motion Estimation and
Hongli Fan1, Bryan Clifford1, Michael Koenig2
1Siemens Medical Solutions, USA, Inc, Malvern, Pennsylvania, USA.
Magnetic Resonance in Medicine
|July 28, 2026
Summary
This study introduces a novel motion correction technique combining prospective and retrospective methods for 2D imaging. The approach significantly reduces motion artifacts in challenging patient populations, improving overall image quality.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Image Reconstruction
Background:
- Motion artifacts are a significant hurdle in multi-shot 2D MRI, particularly for motion-prone patients.
- Through-plane motion poses unique challenges for image reconstruction, even with deep learning methods.
Purpose of the Study:
- To demonstrate a combined prospective and retrospective motion correction strategy for 2D imaging.
- To leverage the Scout Accelerated Motion Estimation and Reduction (SAMER) technique for real-time motion estimation and field-of-view (FoV) updates.
Main Methods:
- Four prospective motion correction (pMoCo) strategies were integrated into a 2D turbo-spin-echo (TSE) sequence with SAMER.
- In vivo evaluations and simulations characterized artifact reduction and correction performance using clinical motion data.
Main Results:
- Prospective FoV updates enhanced SAMER reconstruction image quality.
- Simulated artifacts closely mirrored in vivo observations.
- The combined approach reduced normalized root-mean-square error (NRMSE) in 90% of moderate-to-severe motion cases.
Conclusions:
- A combined prospective-retrospective motion correction method for 2D TSE imaging was successfully demonstrated.
- The technique improved image quality in vivo and across diverse simulated clinical motion scenarios.
- This approach enables on-the-fly motion artifact prediction for optimized acquisition strategies in challenging cases.
