Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/11948
Title: Quantification of track-weighted imaging (TWI): characterisation of within-subject reproducibility and between-subject variability.
Authors: Willats, Lisa;Raffelt, David;Smith, Robert E;Tournier, Jacques-Donald;Connelly, Alan;Calamante, Fernando
Affiliation: Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia
Brain Research Institute, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
Electronic address: fercala@brain.org.au.
Issue Date: 16-Nov-2013
Citation: Neuroimage 2013; 87(): 18-31
Abstract: Recently 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.
Internal ID Number: 24246491
URI: http://ahro.austin.org.au/austinjspui/handle/1/11948
DOI: 10.1016/j.neuroimage.2013.11.016
URL: http://www.ncbi.nlm.nih.gov/pubmed/24246491
Type: Journal Article
Subjects: 2nd order integration over fibre orientation distributions fibre-tracking algorithm
ADC
AFD
APM
BS
CSD
CV
DWI
Diffusion MRI
EPI
FA
FOD
FWHM
Fibre-tracking
HARDI
PC
ROI
Reproducibility
Super-resolution
TDI
TE
TR
TW
TWI
Track-density imaging
Track-weighted imaging
WM
WS
apparent diffusion coefficient
apparent fibre density
average pathlength mapping
between-subject
coefficient of variation
constrained spherical deconvolution
diffusion weighted imaging
echo time
echo-planar imaging
fibre orientation distribution
fractional anisotropy
full-width at half-maximum
high angular resolution diffusion imaging
iFOD2
percentage change
region of interest
repetition time
track-density imaging
track-weighted
track-weighted imaging
white matter
within-subject
Adult
Algorithms
Brain
Brain Mapping.methods
Diffusion Tensor Imaging.methods
Female
Humans
Image Processing, Computer-Assisted.methods
Male
Reproducibility of Results
Appears in Collections:Journal articles

Files in This Item:
There are no files associated with this item.


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.