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Abstract #3965

BUAN 2.0, streamlines as functions, nonlinear registration, and subdivision of bundles for advanced tractometry

Bramsh Qamar Chandio1,2, Sophia I Thomopoulos1, Paul M Thompson1, Jaroslaw Harezlak3, and Eleftherios Garyfallidis2
1Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States, 2Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, IN, United States, 3Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, IN, United States

Synopsis

Keywords: Software Tools, Diffusion/other diffusion imaging techniques, Tractography, tractometry, bundle segmentation, white matter tracts, group analysisWe propose BUAN 2.0, which adds new advancements to its predecessor BUAN. It sub-segments bundles with varying substructures in them. It uses nonlinear registration of bundles to find accurate correspondences among bundle segments across subjects. The number of horizontal segments is decided based on the bundle and data specifications. More importantly, in BUAN 2.0, instead of treating each point on the streamline as an independent observation, we treat each streamline as a complete entity, as a function. Streamlines are analyzed by deploying functional data analysis (FDA) methods for studying group differences in populations along the length of the tracts.

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Keywords