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A robust deconvolution method to disentangle multiple water pools in diffusion MRI

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By Alexander Leemans, Alberto De Luca, PROVIDI Lab, Utrecht the Netherlands
| Arthritis & Rheumatology Verified
Figure S1 – Performances of P‐L2‐NNLS in disentangling signal mixtures at different SNR levels (simulations I) with different regularization parameter settings (γ). Columns 1–3 correspond to each of the three simulated diffusion components. Error bars represent the 25th, 50th and 75th percentile of the estimated values of diffusion coefficients (first row) and signal fractions (second row) from 1000 realizations, while black dashed line represent the predefined value.
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