Extended Data Fig. 6: NextBrain superior segmentation performance with respect the Allen MNI template.
From: A probabilistic histological atlas of the human brain for MRI segmentation
Dice scores for automated segmentations computed on the OpenBHB dataset (3,330 subjects), using the Allen MNI template and NextBrain, with FreeSurfer segmentations as reference. The scores are computed at the whole regions level, i.e., the level of granularity at which FreeSurfer segments. (A) Box plots for 11 representative ROIs. On each box, the central mark indicates the median, the edges of the box indicate the 25th and 75th percentiles, the whiskers extend to the most extreme data points not considered outliers, and the outliers are plotted individually as ‘+’. The abbreviations for the regions are: WM = white matter of the cerebrum, CT = cortex of the cerebrum, CWM = cerebellar white matter, CCT = cerebellar cortex, TH = thalamus, CA = caudate, PU = putamen, PA = pallidum, BS = brainstem, HP = hippocampus, AM = amygdala. (B) Scatter plot of Dice (averaged across the same 11 ROIs) vs age for the Allen MNI template. There is a clear negative correlation between age and accuracy: (r = −0.274, p = 1.67 × 10−56, two-sided test). (C) Scatter plot for NextBrain, whose accuracy is much more consistent across the lifespan, with almost no correlation with age (r = 0.046, p = 0.009, two-sided test).
