Table 1:

Comparison of metrics between methods. Both Deep SHORE and our proposed method are trained on a variety of shell configurations to improve the capability of the model. ANN is trained only with single-shell dMRI. The RMSE of $f_{tissue}$ is applied to test the precision of different methods. The FA of ROI patches is to assess the correction effects of different methods. A statistical test was conducted, resulting in a significant difference with p < 0.001

	Method	Metrics
		RMSE of $f_{tissue}$	FA (ROI)
Before FWE			0.453
Conventional method	Pasternak et al.6 w. RGD13	3.62E-02	0.498
Deep-learning based method	ANN8,17	3.08E-02	0.493
	Deep SHORE25	2.89E-02	0.501
	Proposed	1.97E-02	0.508
Silver standard (upper bound)			0.517