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. Author manuscript; available in PMC: 2022 Apr 29.
Published in final edited form as: Med Phys. 2022 Feb 7;49(4):2502–2513. doi: 10.1002/mp.15495

FIGURE 5.

FIGURE 5

Quantitative results of multi-atlas segmentation (MAS), atlas-based method, and proposed learning methods on test cohorts from Human Connectome Project (HCP), Baltimore Longitudinal Study of Aging (BLSA), and Vanderbilt University (VU) and external cohort from HCP_LS, IXI, and UG. The outlier percentage (top row) of all six algorithms is shown in bar plot. Two measures are used to assess the overlap between algorithms deriving fiber mask from T1 weighted (T1w) and truth from diffusion-weighted MRI (dMRI): Dice (middle row) and surface distance (lower row). Each column presents the result of a different bundle segmentation algorithm and shows the proposed method, MAS, and single atlas-based method. Each boxplot includes each pathway of the bundle segmentation algorithm per every scan. The 95% confidence interval is within the printed notch due to large sample size. The difference between methods was significant (p < 0.005, Wilcoxon signed-rank test, indicated by *)