DWI denoising

MRtrix includes a command dwidenoise, which implements DWI data denoising and noise map estimation by exploiting data redundancy in the PCA domain (Veraart et al., 2016a, 2016b). The method uses the prior knowledge that the eigenspectrum of random covariance matrices is described by the universal Marchenko Pastur distribution.

References

  1. J. Veraart, E. Fieremans, and D.S. Novikov Diffusion MRI noise mapping using random matrix theory. Magn. Res. Med. 76(5), pp. 1582-1593 (2016), doi: 10.1002/mrm.26059
  2. J. Veraart, D.S. Novikov, D. Christiaens, B. Ades-aron, J. Sijbers, and E. Fieremans Denoising of diffusion MRI using random matrix theory. NeuroImage 142, pp. 394-406 (2016), doi: 10.1016/j.neuroimage.2016.08.016