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Motion compensated structured low-rank reconstruction for 3D multi-shot EPI
Xi Chen1, Wenchuan Wu2, Mark Chiew2,3,4
1Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Magnetic Resonance in Medicine
|February 16, 2024
Summary
A new motion compensated structured low-rank (mcSLR) method improves 3D multi-shot EPI imaging by addressing both phase variations and motion inconsistencies. This technique enhances image quality and robustness in advanced MRI scans.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Image Reconstruction
- Medical Physics
Background:
- 3D multi-shot EPI offers higher SNR and resolution than 2D EPI.
- Challenges include shot-to-shot inconsistencies from phase variations and motion.
- Existing methods struggle to address both issues simultaneously.
Purpose of the Study:
- To propose a novel motion compensated structured low-rank (mcSLR) reconstruction method.
- To address both physiological phase variations and bulk motion in 3D multi-shot EPI.
- To improve image quality and robustness for 3D multi-shot EPI.
Main Methods:
- Employs structured low-rank reconstruction to handle inter-shot phase variations.
- Integrates rigid motion compensation within the reconstruction framework.
- Motion estimates are derived data-drivenly, without external hardware or navigators.
Main Results:
- mcSLR effectively reduces artifacts and enhances robustness in 3D multi-shot EPI.
- Demonstrated superior performance over methods addressing only phase variations or motion.
- Validated through simulations and in vivo 7T experiments.
Conclusions:
- mcSLR improves 3D multi-shot EPI robustness by compensating for rigid motion.
- Enhanced motion compensation strengthens the validity of structured low-rank constraints.
- The method offers a significant advancement for high-resolution 3D EPI imaging.
