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Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional
Jesper L R Andersson1, Mark S Graham2, Ivana Drobnjak2
1FMRIB, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Susceptibility-induced distortions in echo planar imaging (EPI) can be corrected by a new post-processing method. This technique estimates and corrects for changing magnetic fields caused by subject motion during diffusion studies.
Area of Science:
- Magnetic Resonance Imaging
- Diffusion Tensor Imaging
Background:
- Susceptibility-induced off-resonance fields cause distortions in echo planar imaging (EPI), particularly in the phase-encode (PE) direction.
- These distortions are critical to correct for diffusion studies using EPI.
- Existing correction methods assume a static magnetic field, which is inaccurate when subjects move and rotate, leading to residual distortions.
Purpose of the Study:
- To present a novel post-processing method for estimating and correcting susceptibility-induced field changes during diffusion imaging experiments.
- To address the limitations of static field correction methods that fail to account for subject motion and rotation.
Main Methods:
- A post-processing method is introduced to estimate field changes dynamically during an experiment.
- The method requires only a single measured field and the subject's orientation at the time of acquisition.
- It directly estimates volume-to-volume field changes from diffusion data using a generative model, without special acquisitions.
Main Results:
- The method accurately tracks magnetic field changes resulting from subject motion.
- Validated on simulations and experimental data, demonstrating high accuracy in field tracking.
- Successful correction of diffusion data for adverse effects caused by the changing magnetic field.
Conclusions:
- The developed method effectively corrects for susceptibility-induced distortions in EPI caused by subject motion.
- This approach improves the accuracy of diffusion studies by accounting for dynamic field variations.
- The technique offers a practical solution for mitigating motion-related artifacts in MRI.
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