Journal
NEUROIMAGE
Volume 125, Issue -, Pages 1063-1078Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2015.10.019
Keywords
Diffusion; Eddy current; Movement; Susceptibility; Registration
Funding
- NIH Human Connectome Project [1U54MH091657-01]
- EPSRC [EP/L023067/1]
- Wellcome-Trust Strategic Award [098369/Z/12/Z]
- Engineering and Physical Sciences Research Council [EP/L023067/1] Funding Source: researchfish
- EPSRC [EP/L023067/1] Funding Source: UKRI
- Wellcome Trust [098369/Z/12/Z] Funding Source: Wellcome Trust
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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 3 T Siemens Verio, a 3 T Siemens Connectome Skyra or a 7 T 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 theWhitehall studies) to correct for distortions and subject movement. (C) 2015 The Authors. Published by Elsevier Inc.
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