Table 2. Errors of DTI metrics.

The group mean (± group standard deviation) across the 20 HCP subjects of the mean absolute error (MAE) of different DTI metrics derived from the raw data consisting of three b = 0 and 18 diffusion-weighted images (DWIs) (a), each subset of SDnDTI input data (b–d), the raw data denoised by supervised learning with the ground-truth images as the training target (i.e., supervised-denoising) (e), each subset of SDnDTI-denoised data (f–h), the average of all three subsets of SDnDTI-denoised data (i), and the raw data denoised by BM4D (j) and AONLM (k) compared to the ground-truth DTI metrics derived from 18 b = 0 and 90 DWIs.

HCP Data		Primary eigenvector (°)	Fractional anisotropy	Mean diffusivity (μm2/ms)	Axial diffusivity (μm2/ms)	Radial diffusivity (μm2/ms)
a	Raw	15.48 ± 1.05	0.042 ± 0.0031	0.033 ± 0.0028	0.057 ± 0.0041	0.037 ± 0.003
b	Raw (subset 1)	24.90 ± 1.25	0.086 ± 0.0069	0.043 ± 0.0030	0.10 ± 0.0071	0.056 ± 0.0044
c	Raw (subset 2)	24.92 ± 1.32	0.086 ± 0.0067	0.043 ± 0.0032	0.10 ± 0.0075	0.056 ± 0.0043
d	Raw (subset 3)	24.86 ± 1.34	0.085 ± 0.0069	0.043 ± 0.0033	0.10 ± 0.0079	0.056 ± 0.0043
e	Supervised	10.52 ± 0.75	0.025 ± 0.0014	0.028 ± 0.0023	0.040 ± 0.0025	0.030 ± 0.0024
f	SDnDTI (subset 1)	15.73 ± 1.05	0.036 ± 0.0021	0.039 ± 0.0029	0.058 ± 0.0034	0.042 ± 0.0030
g	SDnDTI (subset 2)	15.99 ± 1.11	0.036 ± 0.0021	0.037 ± 0.0027	0.057 ± 0.0034	0.041 ± 0.0027
h	SDnDTI (subset 3)	15.80 ± 1.09	0.035 ± 0.0019	0.037 ± 0.0027	0.056 ± 0.0033	0.040 ± 0.0027
i	SDnDTI (average)	11.20 ± 0.81	0.026 ± 0.0015	0.028 ± 0.0025	0.041 ± 0.0027	0.030 ± 0.0025
j	BM4D	12.46 ± 0.89	0.029 ± 0.0016	0.036 ± 0.0027	0.051 ± 0.0031	0.037 ± 0.0026
k	AONLM	12.64 ± 0.87	0.030 ± 0.0016	0.033 ± 0.0027	0.050 ± 0.0032	0.035 ± 0.0026