I understand that DenoiseImage is a spatial filtering program that removes noise assuming an underlying noise distribution (Rician or Guassian). The original paper this program is based on only discusses applications on structural scans.
Would anyone recommend using DenoiseImage instead of spatial smoothing on EPI collected during functional MRI? I’ve ran it through a few examples and the images look incredibly clean - I’m just wondering if I’m removing information from the EPI that I shouldn’t be.
Wondering if anyone has any opinions before I actually put in the legwork to see how denoising with his method impacts downstream analysis.
Title of original ref:
Adaptive Non-Local Means Denoising of MR Images With Spatially Varying Noise Levels
Note this is a cross post on the ANTs Issues board