Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/11948
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dc.contributor.authorWillats, Lisaen
dc.contributor.authorRaffelt, Daviden
dc.contributor.authorSmith, Robert Een
dc.contributor.authorTournier, Jacques-Donalden
dc.contributor.authorConnelly, Alanen
dc.contributor.authorCalamante, Fernandoen
dc.date.accessioned2015-05-16T01:34:56Z
dc.date.available2015-05-16T01:34:56Z
dc.date.issued2013-11-16en
dc.identifier.citationNeuroimage 2013; 87(): 18-31en
dc.identifier.govdoc24246491en
dc.identifier.otherPUBMEDen
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/11948en
dc.description.abstractRecently several novel image contrasts derived from whole-brain fibre tracking-data (tractograms) have been introduced. The novel contrasts of these track-weighted imaging (TWI) methods may provide important information for clinical neuroscience studies. However, before they can be used reliably to generate quantitative measures, it is important to characterise their within-subject reproducibility, and between-subject variability. In this work we compute the within-subject reproducibility (intra-scan, intra-session and inter-session), and between-subject variability of TWI for a number of different TWI contrasts across multiple subjects. The results are used in simple voxel-wise power calculations within illustrative regions of interest to provide guidelines for required sample sizes and observable effect sizes for individual subjects and between groups. It was found that the required sample sizes and observable effect sizes varied considerably between different TWI maps and for different ROIs. For some TWI contrast and ROI combinations, the power calculations yielded clinically practical values. These results provide important information concerning the potential usefulness and sensitivity of TWI maps for individual diagnosis, longitudinal studies and group comparisons, as well as for study designs.en
dc.language.isoenen
dc.subject.other2nd order integration over fibre orientation distributions fibre-tracking algorithmen
dc.subject.otherADCen
dc.subject.otherAFDen
dc.subject.otherAPMen
dc.subject.otherBSen
dc.subject.otherCSDen
dc.subject.otherCVen
dc.subject.otherDWIen
dc.subject.otherDiffusion MRIen
dc.subject.otherEPIen
dc.subject.otherFAen
dc.subject.otherFODen
dc.subject.otherFWHMen
dc.subject.otherFibre-trackingen
dc.subject.otherHARDIen
dc.subject.otherPCen
dc.subject.otherROIen
dc.subject.otherReproducibilityen
dc.subject.otherSuper-resolutionen
dc.subject.otherTDIen
dc.subject.otherTEen
dc.subject.otherTRen
dc.subject.otherTWen
dc.subject.otherTWIen
dc.subject.otherTrack-density imagingen
dc.subject.otherTrack-weighted imagingen
dc.subject.otherWMen
dc.subject.otherWSen
dc.subject.otherapparent diffusion coefficienten
dc.subject.otherapparent fibre densityen
dc.subject.otheraverage pathlength mappingen
dc.subject.otherbetween-subjecten
dc.subject.othercoefficient of variationen
dc.subject.otherconstrained spherical deconvolutionen
dc.subject.otherdiffusion weighted imagingen
dc.subject.otherecho timeen
dc.subject.otherecho-planar imagingen
dc.subject.otherfibre orientation distributionen
dc.subject.otherfractional anisotropyen
dc.subject.otherfull-width at half-maximumen
dc.subject.otherhigh angular resolution diffusion imagingen
dc.subject.otheriFOD2en
dc.subject.otherpercentage changeen
dc.subject.otherregion of interesten
dc.subject.otherrepetition timeen
dc.subject.othertrack-density imagingen
dc.subject.othertrack-weighteden
dc.subject.othertrack-weighted imagingen
dc.subject.otherwhite matteren
dc.subject.otherwithin-subjecten
dc.subject.otherAdulten
dc.subject.otherAlgorithmsen
dc.subject.otherBrainen
dc.subject.otherBrain Mapping.methodsen
dc.subject.otherDiffusion Tensor Imaging.methodsen
dc.subject.otherFemaleen
dc.subject.otherHumansen
dc.subject.otherImage Processing, Computer-Assisted.methodsen
dc.subject.otherMaleen
dc.subject.otherReproducibility of Resultsen
dc.titleQuantification of track-weighted imaging (TWI): characterisation of within-subject reproducibility and between-subject variability.en
dc.typeJournal Articleen
dc.identifier.journaltitleNeuroImageen
dc.identifier.affiliationDepartment of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australiaen
dc.identifier.affiliationBrain Research Institute, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationElectronic address: fercala@brain.org.au.en
dc.identifier.doi10.1016/j.neuroimage.2013.11.016en
dc.description.pages18-31en
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/24246491en
Appears in Collections:Journal articles

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