
Fulltext:
89846.pdf
Embargo:
until further notice
Size:
2.092Mb
Format:
PDF
Description:
publisher's version
Publication year
2010Author(s)
Source
NeuroImage, 53, 2, (2010), pp. 565-575ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
PI Group MR Techniques in Brain Function
Cognitive Neuroscience
Former Organization
F.C. Donders Centre for Cognitive Neuroimaging
Journal title
NeuroImage
Volume
vol. 53
Issue
iss. 2
Page start
p. 565
Page end
p. 575
Subject
150 000 MR Techniques in Brain Function; DCN 1: Perception and ActionAbstract
Motion artefacts are an important but often disregarded problem in diffusion-weighted imaging, which can readily lead to corrupt diffusion model estimations. The new processing method proposed in this paper uses robust tensor estimation that is spatially informed to efficiently detect the most frequently occurring artefacts, namely those that result from head and cardiac motion. Simulations demonstrate that the method is more robust and accurate than previous methods. The tensor estimates are more accurate in motion artefact-free conditions, less sensitive to increases in artefact magnitude and more resistant to increasing artefact frequency. Evaluation with real diffusion-weighted (DW) imaging data shows that the method works excellently, even for datasets with a high degree of motion that otherwise need to be discarded. The method is not limited to diffusion tensor imaging but also yields objective artefact reflecting weights that can be used to inform subsequent processing or estimation of higher-order diffusion models.
This item appears in the following Collection(s)
- Academic publications [202801]
- Donders Centre for Cognitive Neuroimaging [3354]
- Electronic publications [100895]
- Faculty of Medical Sciences [80020]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.