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Abstract #3489

Effect of Different Seeding Strategies on Tractometry Reproducibility

Martin Cousineau1,2, Maxime Descoteaux1, and Hiromasa Takemura2,3

1Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada, 2Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Japan, 3Graduate School of Frontier Biosciences, Osaka University, Suita, Japan

Two common approaches to tractography seeding are using the whole-brain white matter mask, or the gray and white matter interface. Using a dataset with two acquisitions per subject and a state of the art processing pipeline, we compared the test-retest reproducibility of the shape and tract profiles of major white matter bundles for both seeding strategies. We found that both seeding strategies have regions in the brain where they are more reproducible. We propose an ensemble method combining both strategies as a possible way to make tractometry from white matter bundles more robust.

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