Literature DB >> 24246491

Quantification of track-weighted imaging (TWI): characterisation of within-subject reproducibility and between-subject variability.

Lisa Willats1, David Raffelt1, Robert E Smith2, J-Donald Tournier2, Alan Connelly2, Fernando Calamante3.   

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.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  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

Mesh:

Year:  2013        PMID: 24246491     DOI: 10.1016/j.neuroimage.2013.11.016

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


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