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High-resolution multi-shot diffusion-weighted MRI combining markerless prospective motion correction and locally
Hao Chen1, Ke Dai1, Sijie Zhong1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Magnetic Resonance in Medicine
|October 5, 2022
Summary
This study presents a new method combining prospective motion correction and low-rank reconstruction for high-resolution diffusion-weighted MRI (DWI). The technique effectively reduces motion artifacts, improving image quality for studies involving subjects prone to movement.
Area of Science:
- Magnetic Resonance Imaging
- Neuroimaging
- Biomedical Engineering
Background:
- Head motion is a significant challenge in diffusion-weighted imaging (DWI), causing image blurring, signal loss, and biased diffusion parameter estimation.
- Single-shot echo-planar imaging (EPI) with retrospective motion correction offers limited spatial resolution and is prone to distortions.
- Multi-shot acquisition improves resolution but is more susceptible to motion and phase variations, hindering robust imaging.
Purpose of the Study:
- To investigate a combined approach of prospective motion correction (PMC) and spatial-angular locally low-rank (LRLR) constrained reconstruction.
- To achieve robust, multi-shot, high-resolution diffusion-weighted MRI acquisition in the presence of substantial head motion.
- To overcome limitations of existing motion correction techniques in DWI.
Main Methods:
- Utilized prospective motion correction with optical markerless motion tracking to mitigate bulk head motion artifacts and reduce blurring.
- Employed spatial-angular locally low-rank regularization to correct for residual artifacts arising from shot-to-shot phase variations.
- Integrated PMC and LRLR reconstruction for multi-shot diffusion-weighted MRI acquisition.
Main Results:
- Successfully removed image blurring caused by significant motion (20 mm translations, 30° rotations) in multi-shot DWI.
- Addressed aliasing artifacts resulting from shot-to-shot phase variations using LRLR.
- Demonstrated the capability of PMC to preserve orientational information in diffusion tensor imaging (DTI) without b-matrix reorientation.
Conclusions:
- The combined PMC and LRLR technique shows significant potential for high-resolution brain diffusivity and connectivity mapping.
- This method is valuable for imaging populations with common motion issues, such as neonates, pediatrics, and patients with neurological disorders.
- Enables robust, high-fidelity diffusion MRI in challenging subject groups.
