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Diffusion MRI head motion correction methods are highly accurate but impacted by denoising and sampling scheme.

Matthew Cieslak1,2, Philip A Cook3,4, Golia Shafiei1,2

  • 1Lifespan Informatics and Neuroimaging Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.

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Summary

Head motion correction in diffusion-weighted MRI (dMRI) is challenging. Both Eddy and SHORELine methods perform well, with Eddy benefiting from MP-PCA denoising.

Keywords:
artifactdiffusion MRIdiffusion spectrum imagingensemble average propagatorhead motionsoftware

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Diffusion MRI

Background:

  • Head motion significantly impacts diffusion-weighted MRI (dMRI) data quality due to contrast changes.
  • Accurate head motion correction is crucial for reliable dMRI analysis.
  • Existing methods like FSL's Eddy are widely used but have limitations.

Purpose of the Study:

  • To comprehensively evaluate and benchmark the performance of Eddy and the novel SHORELine method for dMRI head motion correction.
  • To assess the impact of sampling schemes, motion extent, and denoising strategies on correction accuracy.
  • To provide a reproducible workflow and simulation data for future research.

Main Methods:

  • Simulated realistic head motion using a software fiber phantom with known ground-truth motion.
  • Evaluated FSL's Eddy (Gaussian Process model) and the 3dSHORE-based SHORELine method.
  • Assessed the influence of pre-correction denoising strategies, specifically MP-PCA, on Eddy's performance.

Main Results:

  • Both Eddy and SHORELine demonstrated strong performance across various simulated scenarios.
  • Correction performance was influenced by the data sampling scheme and the magnitude of head motion.
  • Pre-denoising dMRI data with MP-PCA significantly improved Eddy's head motion correction accuracy.
  • SHORELine proved effective for motion correction in non-shelled diffusion spectrum imaging data.

Conclusions:

  • Eddy and SHORELine are robust methods for dMRI head motion correction.
  • MP-PCA denoising is a beneficial preprocessing step for enhancing Eddy's performance.
  • SHORELine offers a viable alternative for motion correction, particularly in non-shelled dMRI acquisitions.