eddymotion: An open implementation of FSL's eddy with volume-to-volume artifact estimation for neuroimaging beyond diffusion MRI

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Abstract
SynopsisMotivation: Create an open-source alternative to FSL’s eddy without commercial limitations thatgeneralizes over problems beyond eddy current distortions of diffusion MRI.Goals: Evaluate the tool’s performance vis-à-vis with corresponding tools.Approach: We implement a Gaussian Process regressor model and a Bayesian optimizationlayer on an existing registration framework, and estimate the alignment of neuroimaging dataenabled by the eddymotion framework.Results: Using publicly available neuroimaging data, we provide evidence about theeffectiveness of our volume-to-volume modeling framework for generalized artifact identificationand correction in neuroimaging.ImpactWe present eddymotion, an open-source framework for volume-to-volume artifact estimationinspired by FSL eddy. Our tool allows for easy alternative model implementation, it can be usedfor non-dMRI imaging modalities and does not have a restrictive license.