Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16327
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dc.contributor.authorRaffelt, David A-
dc.contributor.authorTournier, Jacques-Donald-
dc.contributor.authorSmith, Robert E-
dc.contributor.authorVaughan, David N-
dc.contributor.authorJackson, Graeme D-
dc.contributor.authorRidgway, Gerard R-
dc.contributor.authorConnelly, Alan-
dc.date2016-09-14-
dc.date.accessioned2016-10-04T02:55:35Z-
dc.date.available2016-10-04T02:55:35Z-
dc.date.issued2017-01-01-
dc.identifier.citationNeuroImage 2017; 144(Pt A): 58-73en_US
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/16327-
dc.description.abstractVoxel-based analysis of diffusion MRI data is increasingly popular. However, most white matter voxels contain contributions from multiple fibre populations (often referred to as crossing fibres), and therefore voxel-averaged quantitative measures (e.g. fractional anisotropy) are not fibre-specific and have poor interpretability. Using higher-order diffusion models, parameters related to fibre density can be extracted for individual fibre populations within each voxel ('fixels'), and recent advances in statistics enable the multi-subject analysis of such data. However, investigating within-voxel microscopic fibre density alone does not account for macroscopic differences in the white matter morphology (e.g. the calibre of a fibre bundle). In this work, we introduce a novel method to investigate the latter, which we call fixel-based morphometry (FBM). To obtain a more complete measure related to the total number of white matter axons, information from both within-voxel microscopic fibre density and macroscopic morphology must be combined. We therefore present the FBM method as an integral piece within a comprehensive fixel-based analysis framework to investigate measures of fibre density, fibre-bundle morphology (cross-section), and a combined measure of fibre density and cross-section. We performed simulations to demonstrate the proposed measures using various transformations of a numerical fibre bundle phantom. Finally, we provide an example of such an analysis by comparing a clinical patient group to a healthy control group, which demonstrates that all three measures provide distinct and complementary information. By capturing information from both sources, the combined fibre density and cross-section measure is likely to be more sensitive to certain pathologies and more directly interpretable.en_US
dc.subjectDiffusionen_US
dc.subjectFibreen_US
dc.subjectFixelen_US
dc.subjectMagnetic Resonance Imagingen_US
dc.titleInvestigating white matter fibre density and morphology using fixel-based analysisen_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleNeuroImageen_US
dc.identifier.affiliationFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Biomedical Engineering, Division of Imaging Sciences & Biomedical Engineering, King's College London, London, UKen_US
dc.identifier.affiliationCentre for the Developing Brain, King's College London, London, UKen_US
dc.identifier.affiliationFlorey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Neurology, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, UKen_US
dc.identifier.affiliationWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UKen_US
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/27639350en_US
dc.identifier.doi10.1016/j.neuroimage.2016.09.029en_US
dc.type.contentTexten_US
dc.type.austinJournal Articleen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
crisitem.author.deptNeurology-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
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