Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

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Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

Despite its great potential in studying brain anatomy and structure, diffusion magnetic resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI technique. In this paper we present a non-parametric framework for detecting and correcting dMRI outliers (signal loss) caused...

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Bibliographic Details
Main Authors:	Andersson, Jesper L.R., Graham, Mark S., Zsoldos, Enikő, Sotiropoulos, Stamatios N.
Format:	Article
Published:	Elsevier 2016
Subjects:	Diffusion; Movement; Signal loss; Outlier; Registration
Online Access:	https://eprints.nottingham.ac.uk/50958/

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