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
1Western Norway University of Applied Sciences, Bergen, Norway, 2NORMENT, University of Oslo, Oslo, Norway
Quality control algorithm for diffusion scalar metrics in UK Biobank 18608 sample
Figure 1 The developed QC algorithm consists of 5 steps: 1) estimation of diffusion scalar maps; 2) normalisation of scalar maps to MNI space by TBSS procedure; 3) estimation of SSIM and skeleton-averaged metrics for each subject; 4) application of k-means-derived distances for one cluster centroid; 5) data filtration using the density-based spatial clusterisation
Figure 2 Examples of detected
outliers appeared in the data. Mean kurtosis (MK) map presents
problems with metric estimation. Mean diffusion (MD) map presents an
anatomical specificity of the subject. Axial krtosis (AK) map
presents the problem with a pair of slices misestimated by the
eddy/Matlab script. Axial extraaxonal diffusivity (axEAD) map
presents the problem with a flat contrast along the computations.
