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Abstract #4299

Improving white matter bundle recovery: A fast & practical ensemble tractography pipeline

Alexandre Joanisse1, Guillaume Theaud1, Jon Haitz Legarreta1, François Rheault1,2, and Maxime Descoteaux1
1Computer Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Electrical Engineering, Vanderbilt University, Nashville, TN, United States

In most tractography settings, users choose a single tracking algorithm and a single set of tracking parameters, which may limit the quality and impact of the bundle reconstruction results. The present ensemble tractography processing pipeline aims at producing diverse whole brain tractograms faster by tuning and automatically concatenating multiple tractograms from different combinations of parameters and algorithms. Compared to classical tractography, our optimized ensemble tractography obtains improved or similar white matter bundle recovery but in 62% of the processing time.

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