# An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

Article · Andersson JLR, Sotiropoulos SN

- Archive id: doi:10.1016/j.neuroimage.2015.10.019
- Published: 2015-10-20
- Venue: NeuroImage
- DOI: https://doi.org/10.1016/j.neuroimage.2015.10.019
- PMID: 26481672
- PMCID: PMC4692656
- Citations: 3,382
- Source URL: https://doi.org/10.1016/j.neuroimage.2015.10.019
- PDF: https://europepmc.org/articles/PMC4692656/pdf
- Provenance: europepmc

## Abstract

In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflects that the two fields (susceptibility- and EC-induced) behave differently in the presence of subject movement. The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes. In addition we show that the linear EC-model commonly used is insufficient for the data used in the present paper (high spatial and angular resolution data acquired with Stejskal-Tanner gradients on a 3T Siemens Verio, a 3T Siemens Connectome Skyra or a 7T Siemens Magnetome scanner) and that a higher order model performs significantly better. The method is already in extensive practical use and is used by four major projects (the WU-UMinn HCP, the MGH HCP, the UK Biobank and the Whitehall studies) to correct for distortions and subject movement.

_Abstract reproduced under CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)._

Topics: [Connectomics & Brain Mapping](https://space-kitty.com/topics/connectomics)

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