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Impact of data quality on variability of tract parameters. Diffusion-weighted images with high outlier percentages (>10%) resulted in a significantly increased variability of mean fractional anisotropy values compared with data with fewer data outliers (<10%) if linear least squares was used (Levene test for equality of variances, P < .05). With application of robust estimation of tensors by outlier rejection, there was no difference in variability with regard to data quality.
