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| SA(1) |
User Commands |
SA(1) |
NAME¶
sa - part of ANTS registration suite
DESCRIPTION¶
segAdapter: Apply corrections to segmentations produced by the host segmentation
method. Usage: ./sa input_Segmentation AdaBoost_OutPutPrefix
output_Segmentation [options]
- Meanings of the parameters: input_Segmentation: Segmentation produced by
the host segmentation method for the image AdaBoost_OutPutPrefix: Path and
prefix to the AdaBoost files specified in ./bl output_Segmentation: Path
and file name of the output corrected segmentation. options:
- -f feature1.nii feature2.nii ...
- Feature images for the target subject. The name pattern could be in C
printf format, e.g. feature%04d.nii Then feature0000.nii will be used for
label 0 and feature0001.nii for label 1, etc.
- -m mask:
- Specify ROI for the training images. Should be in C printf format, e.g.
mask%04d.nii ROI will be derived by performing dilation on this mask.
- -x label image.nii
- Specify an exclusion region for the given label. If a voxel has non-zero
value in an exclusion image, the corresponding label is not allowed at
that voxel.
- -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
- -mrf <method> [parameters]
- Apply Markov Random Field prior to derive the segmentation. Options: ICM
(Iterated Conditional Modes) May be followed by optional parameters in
brackets, e.g., -mrf ICM[beta,iter]. beta: weight for the MRF
prior, must be a non-negative number. Default: 0.1 iter: max iteration for
ICM optimization. Default: 10
