Measures of reliability in high frequency longitudinal white matter multi-shell diffusion and inhomogeneous magnetization transfer database
Manon Edde1,2, Guillaume Theaud1,2, Matthieu Dumont2, Antoine Théberge3, Alex Valcourt-Caron1,2, Stefano Magon4, and Maxime Descoteaux1,2
11Sherbrooke Connectivity Imaging Lab (SCIL), University of Sherbrooke, SCIL, Sherbrooke, QC, Canada, 2Imeka Solutions, Inc., Sherbrooke, QC, Canada, 3Videos & Images Theory and Analytics Laboratory (VITAL), University of Sherbrooke,, Sherbrooke, QC, Canada, 4Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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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