Fig. 3: Scatter density plots between ground truth and estimated tissue parameters and Bland-Altman plots comparing the performances of MC-informed forward model 1 with a standard analytical signal model.

First row, (a–d): scatter density plots and correlation between ground truth and estimated parameters for forward model 1 (from left to right: f_in, vCS_cyl, D_0∣in, D_0∣ex). Second row, (e–g): scatter density plots and correlation between ground truth and estimated parameters for the analytical signal model (from left to right: f_in, vCS_cyl, D_0∣in). Third row, (h–k): Bland-Altman plots for forward model 1 (from left to right: f_in, vCS_cyl, D_0∣in, D_0∣ex). Fourth row, (l–n): Bland-Altman plots for the analytical signal model (from left to right: f_in, vCS_cyl, D_0∣in). Scatter density plots also include the identity line for reference, and the Pearson’s correlation coefficient between ground truth and estimated parameter values (n=4050 unique data points from 18 independently-simulated substrates per subplot). Bland-Altman plots relate the average values between estimated/ground truth parameters (x-axis) to their difference (y-axis), and include the bias and upper/lower limit-of-agreement (LOA). The figure refers to the estimation for protocol PGSE-in.