NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing (original) (raw)

“…The second image reconstruction, which is the primary consideration of this manuscript, is derived from the same raw k-space files, however, following the denoising steps that aim to remove thermal noise. The denoising method, known as NORDIC for Noise Reduction with Distribution Corrected (NORDIC) PCA, is described in prior work (36, 37). In brief, this method uses a patch based, PCA implementation to identify and discard components of the data that are indistinguishable from zero-mean, normally distributed (i.e., thermal) noise, using the magnitude and complex portions of the MRI signal as input.…”