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. Author manuscript; available in PMC: 2021 Aug 15.
Published in final edited form as: Neuroimage. 2020 Apr 29;217:116884. doi: 10.1016/j.neuroimage.2020.116884

Fig. 2.

Fig. 2.

Top: examples of noise-free (A), noisy (B) and denoised (C) matrices from the synthetic spinal cord phantom. Bottom (D): SV decomposition of the noise-free and noisy matrices shown in A and B, alongside MP-PCA cut off (i.e. edge of noisy SVs MP distribution). MP-PCA nullifies all SVs starting from the cut off to the right, while it preserves those to the left. The figure reports results from the simulation conducted with Gaussian noise at an SNR of 15, and considers joint denoising of the whole set of 131 MRI measurements from one spinal cord slice made of 44 voxels (concatenation of DW, qMT, IR and mTE imaging).