Provided by: ants_2.2.0-1ubuntu1_amd64 
NAME
DenoiseImage - part of ANTS registration suite
DESCRIPTION
COMMAND:
DenoiseImage
Denoise an image using a spatially adaptive filter originally described in J. V. Manjon, P.
Coupe, Luis Marti-Bonmati, D. L. Collins, and M. Robles. Adaptive Non-Local Means Denoising of MR
Images With Spatially Varying Noise Levels, Journal of Magnetic Resonance Imaging, 31:192-203,
June 2010.
OPTIONS:
-d, --image-dimensionality 2/3/4
This option forces the image to be treated as a specified-dimensional image. If not specified, the
program tries to infer the dimensionality from the input image.
-i, --input-image inputImageFilename
A scalar image is expected as input for noise correction.
-n, --noise-model Rician/(Gaussian)
Employ a Rician or Gaussian noise model.
-x, --mask-image maskImageFilename
If a mask image is specified, denoising is only performed in the mask region.
-s, --shrink-factor (1)/2/3/...
Running noise correction on large images can be time consuming. To lessen computation time, the
input image can be resampled. The shrink factor, specified as a single integer, describes this
resampling. Shrink factor = 1 is the default.
-p, --patch-radius 1
1x1x1
Patch radius. Default = 1x1x1
-r, --search-radius 3
3x3x3
Search radius. Default = 3x3x3.
-o, --output correctedImage
[correctedImage,<noiseImage>]
The output consists of the noise corrected version of the input image. Optionally, one can also
output the estimated noise image.
--version
Get Version Information.
-v, --verbose (0)/1
Verbose output.
-h
Print the help menu (short version).
--help
Print the help menu. <VALUES>: 1