jointfusion(1)
part of ANTS registration suite
DESCRIPTION
Joint Label Fusion:
usage:
-
jointfusion dim mod [options] output_image
required options:
- dim
-
Image dimension (2 or 3)
- mod
-
Number of modalities or features
- -g atlas1_mod1.nii atlas1_mod2.nii ...atlasN_mod1.nii atlasN_mod2.nii ...
-
Warped atlas images
- -tg target_mod1.nii ... target_modN.nii
-
Target image(s)
- -l label1.nii ... labelN.nii
-
Warped atlas segmentation
- -m <method> [parameters]
-
Select voting method. Options: Joint (Joint Label Fusion)
May be followed by optional parameters in brackets, e.g., -m Joint[0.1,2].
See below for parameters
other options:
- -rp radius
-
Patch radius for similarity measures, scalar or vector (AxBxC)
Default: 2x2x2
- -rs radius
-
Local search radius.
Default: 3x3x3
- -x label image.nii
-
Specify an exclusion region for the given label.
- -p filenamePattern
-
Save the posterior maps (probability that each voxel belongs to each label) as images.
The number of images saved equals the number of labels.
The filename pattern must be in C printf format, e.g. posterior%04d.nii.gz
- -w filenamePattern
-
Save the voting weights as images.
The number of images saved equals the number of atlases.
The filename pattern must be in C printf format, e.g. weight%04d.nii.gz
- -gp ID_atlas1 ... ID_atlasN
-
Assign a group ID for each atlas
- -gpw weight_gp1 ... weight_gpn
-
Assign the voting weights to each atlas group
Parameters for -m Joint option:
- alpha
-
Regularization term added to matrix Mx for inverse
Default: 0.1
- beta
-
Exponent for mapping intensity difference to joint error
Default: 2
