Longitudinal imaging studies are widely used to capture and characterize progressive brain changes. However, evaluation of the reproducibility and the variation of measures in MRI is crucial to reliably detect or predict brain changes with quantitative MRI measures. Using the coefficient of variation and intraclass correlation, we evaluated the reproducibility of diffusion and myelin-based MRI measures from a multi-shell diffusion and inhomogeneous magnetization transfer MRI dataset of twenty healthy adults, each with five MRI acquisitions over six months. Moderate to high reproducibility of diffusion and myelin measures is observed within white matter tracks of interests.
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