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Diffusion tensor parameters and principal eigenvector coherence: Relation to b-value intervals and field strength
Authors:Ai Wern Chung  David L Thomas  Roger J Ordidge  Chris A Clark
Institution:1. Imaging & Biophysics, University College London, Institute of Child Health, London, WC1N 1EH, UK;2. Wellcome Trust High Field MR Research Laboratory, Department of Medical Physics and Bioengineering, University College London, 8–11 Queen Square, London, WC1N 3AR, UK
Abstract:Diffusion-weighted MRI images acquired at b-value greater than 1000 s mm− 2 measure the diffusion of a restricted pool of water molecules. High b-value images are accompanied by a reduction in signal-to-noise ratio (SNR) due to the application of large diffusion gradients. By fitting the diffusion tensor model to data acquired at incremental b-value intervals, we determined the effect of SNR on tensor parameters in normal human brains, in vivo. In addition, we also investigated the impact of field strength on the diffusion tensor model. Data were acquired at 1.5 and 3 T, at b-values 0, 1000, 2000 and 3000 s mm− 2 in twenty diffusion-sensitised directions. Fractional anisotropy (FA), mean diffusivity (MD) and principal eigenvector coherence (κ) were calculated from diffusion tensors fitted between datasets with b-values 0–1000, 0–2000, 0–3000, 1000–2000 and 2000–3000 s mm− 2. Field strength and b-value effects on diffusion parameters were analysed in white and grey matter regions of interest. Decreases in FA, κ and MD were found with increasing b-value in white matter. Univariate analysis showed a significant increase in FA with increasing field strength in highly organised white matter. These results suggest there are significant differences in diffusion parameters at 1.5 and 3 T and that the optimal results, in terms of the highest values of FA in white matter, are obtained at 3 T with a maximum b = 1000 s mm− 2.
Keywords:CS  centrum semiovale  D  diffusion tensor  DTI  diffusion tensor imaging  FA  fractional anisotropy  MD  mean diffusivity  ROI  region of interest  SNR  signal-to-noise ratio
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