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Abstract #3436

Tract-profiling and bundle statistics: a test-retest validation study

Martin Cousineau1, Eleftherios Garyfallidis1, Marc-Alexandre Côté1, Pierre-Marc Jodoin1, and Maxime Descoteaux1

1Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada

Tractometry is a hot topic in population analysis that combines diffusion MRI metrics along white matter bundles. Using a dataset of 11 healthy subjects with 3 different acquisitions collected within the same week, and a state of the art processing pipeline that removes outliers and splits bundles in separate parts by computing their centroid, we perform a test-retest study which validates that tractometry results are reproducible in terms of shape, volume, average metric value, and tract profiles.

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