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|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:||Brain Research Institute, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia.|
Brain Research Institute, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; 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; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia. Electronic address: firstname.lastname@example.org.
|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|
|Subjects:||2nd order integration over fibre orientation distributions fibre-tracking algorithm|
apparent diffusion coefficient
apparent fibre density
average pathlength mapping
coefficient of variation
constrained spherical deconvolution
diffusion weighted imaging
fibre orientation distribution
full-width at half-maximum
high angular resolution diffusion imaging
region of interest
Diffusion Tensor Imaging.methods
Image Processing, Computer-Assisted.methods
Reproducibility of Results
|Appears in Collections:||Journal articles|
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