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Abstract #3737

YTTRIUM: QC algorithm for the processed diffusion maps in UK Biobank 18608 sample

Ivan I. Maximov1,2, Dennis van der Meer2, Ann-Marie de Lange2, Tobias Kaufmann2, Alexey Shadrin2, Oleksandr Frei2, Thomas Wolfers2, and Lars T Westlye2
1Western Norway University of Applied Sciences, Bergen, Norway, 2NORMENT, University of Oslo, Oslo, Norway

Diffusion MRI is a powerful approach to quantify brain architecture. However, diffusion scalar maps derived from raw data are sensitive to the data quality and processing choices. Many quality control algorithms exist that perform a robust check of raw diffusion data, there is a lack of QCs for inspecting the derived maps from different diffusion approaches. We present a novel QC algorithm for processed scalar maps using mean skeleton values (in the context of tract-based spatial statistics) and structural similarity metric based on the scalar maps. The algorithm builds on clustering of scalar diffusion metrics from 18609 UK Biobank individuals.

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