Tab. 2.

The Bland-Altman analyses were performed between simulated data and reconstructions for three approaches, namely: Prasloski’s approach, our 2D multi-slice spatial regularization approach and the proposed reconstruction at different SNRs.

SNR		Prasloski’s approach		our 2D multi-slice spatially regularized approach		Proposed approach
10000		Mean (x10−2)	Confidence Interval (x 10−2)	Mean (x 10−2)	Confidence Interval (x 10−2)	Mean (x 10−2)	Confidence Interval (x 10−2)
	NAWM-like	16.49	[ −1.14, 0.55]	16.45	[ −1.36, − 0.17]	16.49	[ −1.09, −0.59]
	GM-like	6.94	[ −1.41, 0.13]	6.94	[ −1.55, 0.11]	6.91	[ −1.11, −0.33]
	Lesion-1	2.55	[ 0.81, 1.24]	2.50	[ 0.59, 1.68]	2.55	[ 0.90, 1.18]
	Lesion-2	2.64	[ 0.80, 1.18]	2.49	[ 0.04, 2.55]	2.60	[ 0.89, 1.23]
500	NAWM-like	16.44	[ −3.47, 1.98]	16.41	[ −1.70, 0.32]	16.44	[ −1.61, 0.14]
	GM-like	06.71	[ −3.12, 2.49]	6.76	[ −1.69, 0.88]	6.82	[ −1.53, 0.48]
	Lesion-1	02.71	[ −1.35, 2.76]	2.63	[ −0.06, 1.80]	2.59	[ −0.11, 1.99]
	Lesion-2	02.84	[ −1.44, 2.61]	2.70	[ −0.43, 2.16]	2.39	[ 0.60, 2.39]
200	NAWM-like	16.37	[−6.37, 5.17]	16.35	[ −2.57, 1.46]	16.38	[ −2.38, 1.15]
	GM-like	6.63	[−6.17, 5.86]	6.67	[ −2.50, 2.04]	6.83	[ −2.45, 1.37]
	Lesion-1	3.04	[−4.52, 4.61]	2.95	[−1.65, 2.13]	2.82	[ −1.46, 2.45]
	Lesion-2	3.13	[−4.59, 4.60]	2.91	[ −1.48, 2.37]	2.52	[ −0.38, 2.84]
100	NAWM-like	16.40	[−11.20, 9.88]	16.33	[ −4.29, 3.25]	16.41	[ −4.45, 3.08]
	GM-like	6.93	[−10.69, 9.18]	6.91	[−4.47, 3.07]	7.02	[ −4.74, 2.90]
	Lesion-1	3.54	[−8.54, 6.66]	3.41	[−3.96, 2.60]	3.31	[ −4.30, 3.35]
	Lesion-2	3.63	[−8.57, 6.58]	3.34	[−3.65, 2.81]	2.85	[ 2.87, 3.99]