AFNI program: 3dSeg
Output of -help
3dSeg segments brain volumes into tissue classes.
Example 1: Segmenting a T1 volume with:
Brain mask, No prior volumes, Uniform mixing fraction
3dSeg -anat anat.nii -mask AUTO \
-classes 'CSF ; GM ; WM' -bias_classes 'GM ; WM' \
-bias_fwhm 25 -mixfrac UNI -main_N 5 \
-blur_meth BFT
Options:
-anat ANAT: ANAT is the volume to segment
-mask MASK: MASK only non-zero voxels in MASK are analyzed.
MASK is useful when no voxelwise priors are available.
MASK can either be a dataset or the string 'AUTO'
which would use AFNI's automask function to create the mask.
-blur_meth BMETH: Set the blurring method for bias field estimation.
-blur_meth takes one of: BFT, BIM,
BFT: Use Fourier smoothing, masks be damned.
BIM: Blur in mask, slower, more accurate, not necessarily
better bias field estimates.
BNN: A crude blurring in mask. Faster than BIM but it does
not result in accurate FWHM. This option is for
impatient testing. Do not use it.
LSB: Localstat moving average smoothing. Debugging only.
Do not use.
default: BFT
25.0
-classes 'CLASS_STRING': CLASS_STRING is a semicolon delimited
string of class labels. At the moment
CLASS_STRING can only be 'CSF; GM; WM'
-Bmrf BMRF: Weighting factor controlling influence of MRF step.
BMRF = 0.0 means no MRF, 1.0 is typical, the larger BMRF
the stronger the MRF. Use -Bmrf when you have no voxelwise
priors.
default: 1.0
-bias_classes 'BIAS_CLASS_STRING': A semcolon demlimited string of
classes that contribute to the
estimation of the bias field.
default: 'GM; WM'
-prefix PREF: PREF is the prefix for all output volume that are not
debugging related.
default: Segsy
This page auto-generated on
Thu May 3 04:28:29 EDT 2012