Denoising of redundant MR series
Denoising of MR series (e.g. diffusion MRI, functional MRI, relaxometry, ...) by exploiting data redundancy in the PCA domain using the prior knowledge that the eigenspectrum of random covariance matrices is described by the universal Marchenko Pastur distribution.
Recent Activity - Documents
Denoising of diffusion MRI using random matrix theory. posted by Jelle Veraart on Jul 20, 2017
Diffusion MRI noise mapping using random matrix theory. posted by Jelle Veraart on Jul 20, 2017