TABLE II.

Segmentation evaluation quality measures comparing our dictionary-based approach to cortical surface segmentation to the initial surface estimate, atlas-based segmentation and a deep convolutional neural network (CNN). Results using our method used 5 × 5 × 5 patches and dictionary size n = 256 with sparsity constraint Γ₀ = 4. Values are expressed as Mean±SD. Please refer to Supplemental Fig. S2 for statistical significance testing p-values available in the supplementary files/multimedia tab.

Method	Patch Limits	Dice (%)	HD (mm)	MHD (mm)	MAD (mm)	MESD (mm)
Initial Estimate	Image Size	93.47 ± 1.86	14.38 ± 3.97	8.09 ± 2.50	3.76 ± 0.68	1.66 ± 0.84
Atlas-based	Image Size	94.21 ± 1.77	13.18 ± 4.38	6.81 ± 2.46	3.20 ± 0.70	2.51 ± 1.06
Deep CNN	64 × 64 × 64	95.00 ± 1.18	14.59 ± 4.76	7.00 ± 2.71	2.94 ± 0.44	1.11 ± 0.61
Oriented Dictionary	5 × 5 × 5	94.87 ± 1.05	13.62 ± 4.41	6.75 ± 2.39	3.23 ± 0.43	0.87 ± 0.24