dipy_denoise_nlmeans

usage: dipy_denoise_nlmeans [-h] [–sigma float] [–patch_radius int]

[–block_radius int] [–rician] [–out_dir str] [–out_denoised str] input_files

Workflow wrapping the nlmeans denoising method.

It applies nlmeans denoise on each file found by ‘globing’ input_files and saves the results in a directory specified by out_dir.

positional arguments:

input_files Path to the input volumes. This path may contain wildcards to process multiple inputs at once.

optional arguments:
-h, --help

show this help message and exit

--sigma float

Sigma parameter to pass to the nlmeans algorithm (default: auto estimation).

--patch_radius int

patch size is 2 x patch_radius + 1. Default is 1.

--block_radius int

block size is 2 x block_radius + 1. Default is 5.

--rician

If True the noise is estimated as Rician, otherwise Gaussian noise is assumed.

output arguments(optional):
--out_dir str

Output directory (default input file directory)

--out_denoised str

Name of the resulting denoised volume (default: dwi_nlmeans.nii.gz)

References: .. [Descoteaux08] Descoteaux, Maxime and Wiest-Daesslé, Nicolas andPrima, Sylvain and Barillot, Christian and Deriche, Rachid.Impact of Rician Adapted Non-Local Means Filtering onHARDI, MICCAI 2008 Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.