A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra‐strong gradient MRI scanners

Purpose The analysis of diffusion data obtained under large gradient nonlinearities necessitates corrections during data reconstruction and analysis. While two such preprocessing pipelines have been proposed, no comparative studies assessing their performance exist. Furthermore, both pipelines negle...

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Bibliographic Details
Published in:	Magnetic resonance in medicine Vol. 85; no. 2; pp. 1104 - 1113
Main Authors:	Rudrapatna, Umesh, Parker, Greg D., Roberts, Jamie, Jones, Derek K.
Format:	Journal Article
Language:	English
Published:	United States Wiley Subscription Services, Inc 01.02.2021 John Wiley and Sons Inc
Subjects:	Comparative studies connectom Data acquisition Data analysis Diffusion Diffusion Magnetic Resonance Imaging diffusion MRI diffusion preprocessing Diffusion Tensor Imaging Eddy currents Estimates gradient nonlinearity human connectome project Humans Image Processing, Computer-Assisted Inhomogeneity Magnetic Resonance Imaging Motion Nonlinear systems Nonlinearity Notes—Computer Processing and Modeling Parameter estimation Pipelines Preprocessing Scanners Small mammals Tensors ultra‐strong gradients diffusion MRI connectom ultra-strong gradients diffusion preprocessing gradient nonlinearity human connectome project
ISSN:	0740-3194, 1522-2594, 1522-2594
Online Access:	Get full text
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