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.
- options:
- -h, --help
show this help message and exit
- --sigma float
Sigma parameter to pass to the nlmeans algorithm.
- --patch_radius int
patch size is
2 x patch_radius + 1.- --block_radius int
block size is
2 x block_radius + 1.- --rician
If True the noise is estimated as Rician, otherwise Gaussian noise is assumed.
Output Arguments(Optional)#
- --out_dir str
Output directory. (default current directory)
- --out_denoised str
Name of the resulting denoised volume.
References#
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.