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

ABSTRACT: Head motion correction is particularly challenging in diffusion-weighted MRI (dMRI) scans due to the dramatic changes in image contrast at different gradient strengths and directions. Head motion correction is typically performed using a Gaussian Process model implemented in FSL's Eddy. Recently, the 3dSHORE-based SHORELine method was introduced that does not require shell-based acquisitions, but it has not been previously benchmarked. Here we perform a comprehensive evaluation of both methods on realistic simulations of a software fiber phantom that provides known ground-truth head motion. We demonstrate that both methods perform remarkably well, but that performance can be impacted by sampling scheme and the extent of head motion and the denoising strategy applied before head motion corr

SUBMITTER: Cieslak M 

PROVIDER: S-EPMC10826632 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature