Filtering of spurious streamlines via streamline orientation and pathway density

Delinte, Nicolas;Macq, Benoît
(2024) 32th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) — Location: Singapore (4.May.2024)

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Abstract
Tract extraction from whole-brain tractograms requires either an extensive knowledge of inclusion and exclusion zones or manual efforts to obtain clean tracts. Automated filtering of spurious streamlines accelerates the tract extraction process. The algorithm should be versatile, while preserving tract shape and minimizing parameter adjustments. We developed a filtering algorithm based on streamline orientation and density along an average trajectory. Our method was compared to four other filtering implementations. Our algorithm is applicable to a wide variety of tracts with a high and low streamline count. It offers efficient filtering and provides a conservative filtering preserving tract morphology.
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Delinte, N., & Macq, B. (2024). Filtering of spurious streamlines via streamline orientation and pathway density. Proc. Intl. Soc. Mag. Reson. Med., 32(2168). https://hdl.handle.net/2078.5/213022 (Original work published 2024)