Apparent fibre density: A novel measure for the analysis of diffusion-weighted magnetic resonance images

Raffelt, David, Tournier, J.-Donald, Rose, Stephen, Ridgway, Gerard R., Henderson, Robert, Crozier, Stuart, Salvado, Olivier and Connelly, Alan (2012) Apparent fibre density: A novel measure for the analysis of diffusion-weighted magnetic resonance images. NeuroImage, 59 4: 3976-3994. doi:10.1016/j.neuroimage.2011.10.045


Author Raffelt, David
Tournier, J.-Donald
Rose, Stephen
Ridgway, Gerard R.
Henderson, Robert
Crozier, Stuart
Salvado, Olivier
Connelly, Alan
Title Apparent fibre density: A novel measure for the analysis of diffusion-weighted magnetic resonance images
Journal name NeuroImage   Check publisher's open access policy
ISSN 1053-8119
1095-9572
Publication date 2012-02-15
Year available 2011
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2011.10.045
Volume 59
Issue 4
Start page 3976
End page 3994
Total pages 19
Place of publication Maryland Heights, MO, United States
Publisher Academic Press
Collection year 2012
Language eng
Abstract This article proposes a new measure called Apparent Fibre Density (AFD) for the analysis of high angular resolution diffusion-weighted images using higher-order information provided by Fibre Orientation Distributions (FODs) computed using spherical deconvolution. AFD has the potential to provide specific information regarding differences between populations by identifying not only the location, but also the orientations along which differences exist. In this work, analytical and numerical Monte-Carlo simulations are used to support the use of the FOD amplitude as a quantitative measure (i.e. AFD) for population and longitudinal analysis. To perform robust voxel-based analysis of AFD, we present and evaluate a novel method to modulate the FOD to account for changes in fibre bundle cross-sectional area that occur during spatial normalisation. We then describe a novel approach for statistical analysis of AFD that uses cluster-based inference of differences extended throughout space and orientation. Finally, we demonstrate the capability of the proposed method by performing voxel-based AFD comparisons between of a group of Motor Neurone Disease patients and healthy control subjects. A significant decrease in AFD was detected along voxels and orientations corresponding to both the corticospinal tract and corpus callosal fibres that connect the primary motor cortices. In addition to corroborating previous findings in MND, this study demonstrates the clear advantage of using this type of analysis by identifying differences along single fibre bundles in regions containing multiple fibre populations.
Keyword Apparent fiber density
Diffusion MRI
Fiber orientation distribution
Spherical deconvolution
Motor neurone disease
Amyotrophic lateral sclerosis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 20 October 2011.

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2012 Collection
Centre for Advanced Imaging Publications
 
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Created: Mon, 24 Oct 2011, 12:52:16 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging