Abstract #2844
Cleaning up the mess: tractography outlier removal using hierarchical QuickBundles clustering
Marc-Alexandre Ct 1 , Eleftherios Garyfallidis 1 , Hugo Larochelle 1 , and Maxime Descoteaux 1
1
Universit de Sherbrooke, Sherbrooke,
Qubec, Canada
Tracking algorithms often generate non-reproducible
streamlines which often appear to be anatomical
outliers. Those streamlines affect connectivity studies.
We propose a probabilistic outliers removal method based
on a randomized hierarchical utilization of
QuickBundles. Our method offers a way to reduce the
number of invalid bundles while keeping reproducible
valid bundles. This allows for more robust connectivity
analyses.
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