interfaces.freesurfer.utils¶
AddXFormToHeader¶
Wraps the executable command mri_add_xform_to_header.
Just adds specified xform to the volume header
(!) WARNING: transform input MUST be an absolute path to a DataSink’ed transform or the output will reference a transform in the workflow cache directory!
>>> from nipype.interfaces.freesurfer import AddXFormToHeader
>>> adder = AddXFormToHeader()
>>> adder.inputs.in_file = 'norm.mgz'
>>> adder.inputs.transform = 'trans.mat'
>>> adder.cmdline
'mri_add_xform_to_header trans.mat norm.mgz output.mgz'
>>> adder.inputs.copy_name = True
>>> adder.cmdline
'mri_add_xform_to_header -c trans.mat norm.mgz output.mgz'
>>> adder.run()
References:¶
[https://surfer.nmr.mgh.harvard.edu/fswiki/mri_add_xform_to_header]
Inputs:
[Mandatory]
transform: (a file name)
xfm file
argument: ``%s``, position: -3
in_file: (an existing file name)
input volume
argument: ``%s``, position: -2
[Optional]
copy_name: (a boolean)
do not try to load the xfmfile, just copy name
argument: ``-c``
verbose: (a boolean)
be verbose
argument: ``-v``
out_file: (a file name, nipype default value: output.mgz)
output volume
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (an existing file name)
output volume
Aparc2Aseg¶
Wraps the executable command mri_aparc2aseg.
Maps the cortical labels from the automatic cortical parcellation (aparc) to the automatic segmentation volume (aseg). The result can be used as the aseg would. The algorithm is to find each aseg voxel labeled as cortex (3 and 42) and assign it the label of the closest cortical vertex. If the voxel is not in the ribbon (as defined by mri/ lh.ribbon and rh.ribbon), then the voxel is marked as unknown (0). This can be turned off with –noribbon. The cortical parcellation is obtained from subject/label/hemi.aparc.annot which should be based on the curvature.buckner40.filled.desikan_killiany.gcs atlas. The aseg is obtained from subject/mri/aseg.mgz and should be based on the RB40_talairach_2005-07-20.gca atlas. If these atlases are used, then the segmentations can be viewed with tkmedit and the FreeSurferColorLUT.txt color table found in $FREESURFER_HOME. These are the default atlases used by recon-all.
Examples¶
>>> from nipype.interfaces.freesurfer import Aparc2Aseg
>>> aparc2aseg = Aparc2Aseg()
>>> aparc2aseg.inputs.lh_white = 'lh.pial'
>>> aparc2aseg.inputs.rh_white = 'lh.pial'
>>> aparc2aseg.inputs.lh_pial = 'lh.pial'
>>> aparc2aseg.inputs.rh_pial = 'lh.pial'
>>> aparc2aseg.inputs.lh_ribbon = 'label.mgz'
>>> aparc2aseg.inputs.rh_ribbon = 'label.mgz'
>>> aparc2aseg.inputs.ribbon = 'label.mgz'
>>> aparc2aseg.inputs.lh_annotation = 'lh.pial'
>>> aparc2aseg.inputs.rh_annotation = 'lh.pial'
>>> aparc2aseg.inputs.out_file = 'aparc+aseg.mgz'
>>> aparc2aseg.inputs.label_wm = True
>>> aparc2aseg.inputs.rip_unknown = True
>>> aparc2aseg.cmdline
'mri_aparc2aseg --labelwm --o aparc+aseg.mgz --rip-unknown --s subject_id'
Inputs:
[Mandatory]
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``--s %s``
rh_pial: (an existing file name)
Input file must be <subject_id>/surf/rh.pial
rh_annotation: (an existing file name)
Input file must be <subject_id>/label/rh.aparc.annot
rh_white: (an existing file name)
Input file must be <subject_id>/surf/rh.white
out_file: (a file name)
Full path of file to save the output segmentation in
argument: ``--o %s``
lh_pial: (an existing file name)
Input file must be <subject_id>/surf/lh.pial
ribbon: (an existing file name)
Input file must be <subject_id>/mri/ribbon.mgz
lh_white: (an existing file name)
Input file must be <subject_id>/surf/lh.white
rh_ribbon: (an existing file name)
Input file must be <subject_id>/mri/rh.ribbon.mgz
lh_ribbon: (an existing file name)
Input file must be <subject_id>/mri/lh.ribbon.mgz
lh_annotation: (an existing file name)
Input file must be <subject_id>/label/lh.aparc.annot
[Optional]
ctxseg: (an existing file name)
argument: ``--ctxseg %s``
label_wm: (a boolean)
For each voxel labeled as white matter in the aseg, re-assign
its label to be that of the closest cortical point if its
distance is less than dmaxctx
argument: ``--labelwm``
filled: (an existing file name)
Implicit input filled file. Only required with FS v5.3.
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
rip_unknown: (a boolean)
Do not label WM based on 'unknown' corical label
argument: ``--rip-unknown``
copy_inputs: (a boolean)
If running as a node, set this to True.This will copy the input
files to the node directory.
aseg: (an existing file name)
Input aseg file
argument: ``--aseg %s``
hypo_wm: (a boolean)
Label hypointensities as WM
argument: ``--hypo-as-wm``
subjects_dir: (an existing directory name)
subjects directory
volmask: (a boolean)
Volume mask flag
argument: ``--volmask``
a2009s: (a boolean)
Using the a2009s atlas
argument: ``--a2009s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output aseg file
argument: ``%s``
Apas2Aseg¶
Wraps the executable command apas2aseg.
Converts aparc+aseg.mgz into something like aseg.mgz by replacing the cortical segmentations 1000-1035 with 3 and 2000-2035 with 42. The advantage of this output is that the cortical label conforms to the actual surface (this is not the case with aseg.mgz).
Examples¶
>>> from nipype.interfaces.freesurfer import Apas2Aseg
>>> apas2aseg = Apas2Aseg()
>>> apas2aseg.inputs.in_file = 'aseg.mgz'
>>> apas2aseg.inputs.out_file = 'output.mgz'
>>> apas2aseg.cmdline
'apas2aseg --i aseg.mgz --o output.mgz'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input aparc+aseg.mgz
argument: ``--i %s``
out_file: (a file name)
Output aseg file
argument: ``--o %s``
[Optional]
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output aseg file
argument: ``%s``
ApplyMask¶
Wraps the executable command mri_mask.
Use Freesurfer’s mri_mask to apply a mask to an image.
The mask file need not be binarized; it can be thresholded above a given value before application. It can also optionally be transformed into input space with an LTA matrix.
Inputs:
[Mandatory]
mask_file: (an existing file name)
image defining mask space
argument: ``%s``, position: -2
in_file: (an existing file name)
input image (will be masked)
argument: ``%s``, position: -3
[Optional]
keep_mask_deletion_edits: (a boolean)
transfer voxel-deletion edits (voxels=1) from mask to out vol
argument: ``-keep_mask_deletion_edits``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
out_file: (a file name)
final image to write
argument: ``%s``, position: -1
invert_xfm: (a boolean)
invert transformation
argument: ``-invert``
xfm_target: (an existing file name)
image defining transform target space
argument: ``-lta_dst %s``
subjects_dir: (an existing directory name)
subjects directory
use_abs: (a boolean)
take absolute value of mask before applying
argument: ``-abs``
xfm_file: (an existing file name)
LTA-format transformation matrix to align mask with input
argument: ``-xform %s``
transfer: (an integer (int or long))
transfer only voxel value # from mask to out
argument: ``-transfer %d``
xfm_source: (an existing file name)
image defining transform source space
argument: ``-lta_src %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
mask_thresh: (a float)
threshold mask before applying
argument: ``-T %.4f``
Outputs:
out_file: (an existing file name)
masked image
CheckTalairachAlignment¶
Wraps the executable command talairach_afd.
This program detects Talairach alignment failures
Examples¶
>>> from nipype.interfaces.freesurfer import CheckTalairachAlignment
>>> checker = CheckTalairachAlignment()
>>> checker.inputs.in_file = 'trans.mat'
>>> checker.inputs.threshold = 0.005
>>> checker.cmdline
'talairach_afd -T 0.005 -xfm trans.mat'
>>> checker.run()
Inputs:
[Mandatory]
subject: (a string)
specify subject's name
argument: ``-subj %s``, position: -1
mutually_exclusive: in_file
in_file: (an existing file name)
specify the talairach.xfm file to check
argument: ``-xfm %s``, position: -1
mutually_exclusive: subject
[Optional]
threshold: (a float, nipype default value: 0.01)
Talairach transforms for subjects with p-values <= T are considered
as very unlikely default=0.010
argument: ``-T %.3f``
subjects_dir: (an existing directory name)
subjects directory
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
The input file for CheckTalairachAlignment
Contrast¶
Wraps the executable command pctsurfcon.
Compute surface-wise gray/white contrast
Examples¶
>>> from nipype.interfaces.freesurfer import Contrast
>>> contrast = Contrast()
>>> contrast.inputs.subject_id = '10335'
>>> contrast.inputs.hemisphere = 'lh'
>>> contrast.inputs.white = 'lh.white'
>>> contrast.inputs.thickness = 'lh.thickness'
>>> contrast.inputs.annotation = '../label/lh.aparc.annot'
>>> contrast.inputs.cortex = '../label/lh.cortex.label'
>>> contrast.inputs.rawavg = '../mri/rawavg.mgz'
>>> contrast.inputs.orig = '../mri/orig.mgz'
>>> contrast.cmdline
'pctsurfcon --lh-only --s 10335'
Inputs:
[Mandatory]
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``--s %s``
hemisphere: ('lh' or 'rh')
Hemisphere being processed
argument: ``--%s-only``
orig: (an existing file name)
Implicit input file mri/orig.mgz
white: (an existing file name)
Input file must be <subject_id>/surf/<hemisphere>.white
thickness: (an existing file name)
Input file must be <subject_id>/surf/?h.thickness
cortex: (a file name)
Input cortex label must be
<subject_id>/label/<hemisphere>.cortex.label
annotation: (a file name)
Input annotation file must be
<subject_id>/label/<hemisphere>.aparc.annot
rawavg: (an existing file name)
Implicit input file mri/rawavg.mgz
[Optional]
copy_inputs: (a boolean)
If running as a node, set this to True.This will copy the input
files to the node directory.
subjects_dir: (an existing directory name)
subjects directory
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_stats: (a file name)
Output stats file from Contrast
out_log: (an existing file name)
Output log from Contrast
out_contrast: (a file name)
Output contrast file from Contrast
Curvature¶
Wraps the executable command mris_curvature.
This program will compute the second fundamental form of a cortical surface. It will create two new files <hemi>.<surface>.H and <hemi>.<surface>.K with the mean and Gaussian curvature respectively.
Examples¶
>>> from nipype.interfaces.freesurfer import Curvature
>>> curv = Curvature()
>>> curv.inputs.in_file = 'lh.pial'
>>> curv.inputs.save = True
>>> curv.cmdline
'mris_curvature -w lh.pial'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input file for Curvature
argument: ``%s``, position: -2
[Optional]
distances: (a tuple of the form: (an integer (int or long), an
integer (int or long)))
Undocumented input integer distances
argument: ``-distances %d %d``
save: (a boolean)
Save curvature files (will only generate screen output without this
option)
argument: ``-w``
subjects_dir: (an existing directory name)
subjects directory
copy_input: (a boolean)
Copy input file to current directory
n: (a boolean)
Undocumented boolean flag
argument: ``-n``
averages: (an integer (int or long))
Perform this number iterative averages of curvature measure before
saving
argument: ``-a %d``
threshold: (a float)
Undocumented input threshold
argument: ``-thresh %.3f``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_gauss: (a file name)
Gaussian curvature output file
out_mean: (a file name)
Mean curvature output file
CurvatureStats¶
Wraps the executable command mris_curvature_stats.
In its simplest usage, ‘mris_curvature_stats’ will compute a set of statistics on its input <curvFile>. These statistics are the mean and standard deviation of the particular curvature on the surface, as well as the results from several surface-based integrals.
Additionally, ‘mris_curvature_stats’ can report the max/min curvature values, and compute a simple histogram based on all curvature values.
Curvatures can also be normalised and constrained to a given range before computation.
Principal curvature (K, H, k1 and k2) calculations on a surface structure can also be performed, as well as several functions derived from k1 and k2.
Finally, all output to the console, as well as any new curvatures that result from the above calculations can be saved to a series of text and binary-curvature files.
Examples¶
>>> from nipype.interfaces.freesurfer import CurvatureStats
>>> curvstats = CurvatureStats()
>>> curvstats.inputs.hemisphere = 'lh'
>>> curvstats.inputs.curvfile1 = 'lh.pial'
>>> curvstats.inputs.curvfile2 = 'lh.pial'
>>> curvstats.inputs.surface = 'lh.pial'
>>> curvstats.inputs.out_file = 'lh.curv.stats'
>>> curvstats.inputs.values = True
>>> curvstats.inputs.min_max = True
>>> curvstats.inputs.write = True
>>> curvstats.cmdline
'mris_curvature_stats -m -o lh.curv.stats -F pial -G --writeCurvatureFiles subject_id lh pial pial'
Inputs:
[Mandatory]
hemisphere: ('lh' or 'rh')
Hemisphere being processed
argument: ``%s``, position: -3
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``%s``, position: -4
curvfile1: (an existing file name)
Input file for CurvatureStats
argument: ``%s``, position: -2
curvfile2: (an existing file name)
Input file for CurvatureStats
argument: ``%s``, position: -1
[Optional]
out_file: (a file name)
Output curvature stats file
argument: ``-o %s``
copy_inputs: (a boolean)
If running as a node, set this to True.This will copy the input
files to the node directory.
surface: (an existing file name)
Specify surface file for CurvatureStats
argument: ``-F %s``
write: (a boolean)
Write curvature files
argument: ``--writeCurvatureFiles``
min_max: (a boolean)
Output min / max information for the processed curvature.
argument: ``-m``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
values: (a boolean)
Triggers a series of derived curvature values
argument: ``-G``
Outputs:
out_file: (a file name)
Output curvature stats file
EulerNumber¶
Wraps the executable command mris_euler_number.
This program computes EulerNumber for a cortical surface
Examples¶
>>> from nipype.interfaces.freesurfer import EulerNumber
>>> ft = EulerNumber()
>>> ft.inputs.in_file = 'lh.pial'
>>> ft.cmdline
'mris_euler_number lh.pial'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input file for EulerNumber
argument: ``%s``, position: -1
[Optional]
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file for EulerNumber
ExtractMainComponent¶
Wraps the executable command mris_extract_main_component.
Extract the main component of a tesselated surface
Examples¶
>>> from nipype.interfaces.freesurfer import ExtractMainComponent
>>> mcmp = ExtractMainComponent(in_file='lh.pial')
>>> mcmp.cmdline
'mris_extract_main_component lh.pial lh.maincmp'
Inputs:
[Mandatory]
in_file: (an existing file name)
input surface file
argument: ``%s``, position: 1
[Optional]
out_file: (a file name)
surface containing main component
argument: ``%s``, position: 2
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (an existing file name)
surface containing main component
FixTopology¶
Wraps the executable command mris_fix_topology.
This program computes a mapping from the unit sphere onto the surface of the cortex from a previously generated approximation of the cortical surface, thus guaranteeing a topologically correct surface.
Examples¶
>>> from nipype.interfaces.freesurfer import FixTopology
>>> ft = FixTopology()
>>> ft.inputs.in_orig = 'lh.orig'
>>> ft.inputs.in_inflated = 'lh.inflated'
>>> ft.inputs.sphere = 'lh.qsphere.nofix'
>>> ft.inputs.hemisphere = 'lh'
>>> ft.inputs.subject_id = '10335'
>>> ft.inputs.mgz = True
>>> ft.inputs.ga = True
>>> ft.cmdline
'mris_fix_topology -ga -mgz -sphere qsphere.nofix 10335 lh'
Inputs:
[Mandatory]
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``%s``, position: -2
hemisphere: (a string)
Hemisphere being processed
argument: ``%s``, position: -1
in_wm: (an existing file name)
Implicit input wm.mgz
copy_inputs: (a boolean)
If running as a node, set this to True otherwise, the topology
fixing will be done in place.
in_brain: (an existing file name)
Implicit input brain.mgz
in_orig: (an existing file name)
Undocumented input file <hemisphere>.orig
in_inflated: (an existing file name)
Undocumented input file <hemisphere>.inflated
[Optional]
ga: (a boolean)
No documentation. Direct questions to analysis-
bugs@nmr.mgh.harvard.edu
argument: ``-ga``
seed: (an integer (int or long))
Seed for setting random number generator
argument: ``-seed %d``
sphere: (a file name)
Sphere input file
argument: ``-sphere %s``
subjects_dir: (an existing directory name)
subjects directory
mgz: (a boolean)
No documentation. Direct questions to analysis-
bugs@nmr.mgh.harvard.edu
argument: ``-mgz``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file for FixTopology
Jacobian¶
Wraps the executable command mris_jacobian.
This program computes the Jacobian of a surface mapping.
Examples¶
>>> from nipype.interfaces.freesurfer import Jacobian
>>> jacobian = Jacobian()
>>> jacobian.inputs.in_origsurf = 'lh.pial'
>>> jacobian.inputs.in_mappedsurf = 'lh.pial'
>>> jacobian.cmdline
'mris_jacobian lh.pial lh.pial lh.jacobian'
Inputs:
[Mandatory]
in_origsurf: (an existing file name)
Original surface
argument: ``%s``, position: -3
in_mappedsurf: (an existing file name)
Mapped surface
argument: ``%s``, position: -2
[Optional]
out_file: (a file name)
Output Jacobian of the surface mapping
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output Jacobian of the surface mapping
LTAConvert¶
Wraps the executable command lta_convert.
Convert different transformation formats. Some formats may require you to pass an image if the geometry information is missing form the transform file format.
For complete details, see the lta_convert documentation.
Inputs:
[Mandatory]
in_fsl: (an existing file name)
input transform of FSL type
argument: ``--infsl %s``
mutually_exclusive: in_lta, in_fsl, in_mni, in_reg, in_niftyreg,
in_itk
in_mni: (an existing file name)
input transform of MNI/XFM type
argument: ``--inmni %s``
mutually_exclusive: in_lta, in_fsl, in_mni, in_reg, in_niftyreg,
in_itk
in_niftyreg: (an existing file name)
input transform of Nifty Reg type (inverse RAS2RAS)
argument: ``--inniftyreg %s``
mutually_exclusive: in_lta, in_fsl, in_mni, in_reg, in_niftyreg,
in_itk
in_lta: (an existing file name or 'identity.nofile')
input transform of LTA type
argument: ``--inlta %s``
mutually_exclusive: in_lta, in_fsl, in_mni, in_reg, in_niftyreg,
in_itk
in_reg: (an existing file name)
input transform of TK REG type (deprecated format)
argument: ``--inreg %s``
mutually_exclusive: in_lta, in_fsl, in_mni, in_reg, in_niftyreg,
in_itk
in_itk: (an existing file name)
input transform of ITK type
argument: ``--initk %s``
mutually_exclusive: in_lta, in_fsl, in_mni, in_reg, in_niftyreg,
in_itk
[Optional]
ltavox2vox: (a boolean)
argument: ``--ltavox2vox``
requires: out_lta
invert: (a boolean)
argument: ``--invert``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
out_fsl: (a boolean or a file name)
output transform in FSL format
argument: ``--outfsl %s``
out_reg: (a boolean or a file name)
output transform in reg dat format
argument: ``--outreg %s``
out_itk: (a boolean or a file name)
output transform in ITK format
argument: ``--outitk %s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
out_mni: (a boolean or a file name)
output transform in MNI/XFM format
argument: ``--outmni %s``
source_file: (an existing file name)
argument: ``--src %s``
target_file: (an existing file name)
argument: ``--trg %s``
out_lta: (a boolean or a file name)
output linear transform (LTA Freesurfer format)
argument: ``--outlta %s``
target_conform: (a boolean)
argument: ``--trgconform``
Outputs:
out_reg: (an existing file name)
output transform in reg dat format
out_mni: (an existing file name)
output transform in MNI/XFM format
out_fsl: (an existing file name)
output transform in FSL format
out_itk: (an existing file name)
output transform in ITK format
out_lta: (an existing file name)
output linear transform (LTA Freesurfer format)
MRIFill¶
Wraps the executable command mri_fill.
This program creates hemispheric cutting planes and fills white matter with specific values for subsequent surface tesselation.
Examples¶
>>> from nipype.interfaces.freesurfer import MRIFill
>>> fill = MRIFill()
>>> fill.inputs.in_file = 'wm.mgz'
>>> fill.inputs.out_file = 'filled.mgz'
>>> fill.cmdline
'mri_fill wm.mgz filled.mgz'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input white matter file
argument: ``%s``, position: -2
out_file: (a file name)
Output filled volume file name for MRIFill
argument: ``%s``, position: -1
[Optional]
subjects_dir: (an existing directory name)
subjects directory
transform: (an existing file name)
Input transform file for MRIFill
argument: ``-xform %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
segmentation: (an existing file name)
Input segmentation file for MRIFill
argument: ``-segmentation %s``
log_file: (a file name)
Output log file for MRIFill
argument: ``-a %s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file from MRIFill
log_file: (a file name)
Output log file from MRIFill
MRIMarchingCubes¶
Wraps the executable command mri_mc.
Uses Freesurfer’s mri_mc to create surfaces by tessellating a given input volume
Example¶
>>> import nipype.interfaces.freesurfer as fs
>>> mc = fs.MRIMarchingCubes()
>>> mc.inputs.in_file = 'aseg.mgz'
>>> mc.inputs.label_value = 17
>>> mc.inputs.out_file = 'lh.hippocampus'
>>> mc.run()
Inputs:
[Mandatory]
label_value: (an integer (int or long))
Label value which to tesselate from the input volume. (integer, if
input is "filled.mgz" volume, 127 is rh, 255 is lh)
argument: ``%d``, position: 2
in_file: (an existing file name)
Input volume to tesselate voxels from.
argument: ``%s``, position: 1
[Optional]
out_file: (a file name)
output filename or True to generate one
argument: ``./%s``, position: -2
subjects_dir: (an existing directory name)
subjects directory
connectivity_value: (an integer (int or long), nipype default value:
1)
Alter the marching cubes connectivity: 1=6+,2=18,3=6,4=26
(default=1)
argument: ``%d``, position: -1
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
surface: (an existing file name)
binary surface of the tessellation
MRIPretess¶
Wraps the executable command mri_pretess.
Uses Freesurfer’s mri_pretess to prepare volumes to be tessellated.
Description¶
Changes white matter (WM) segmentation so that the neighbors of all voxels labeled as WM have a face in common - no edges or corners allowed.
Example¶
>>> import nipype.interfaces.freesurfer as fs
>>> pretess = fs.MRIPretess()
>>> pretess.inputs.in_filled = 'wm.mgz'
>>> pretess.inputs.in_norm = 'norm.mgz'
>>> pretess.inputs.nocorners = True
>>> pretess.cmdline
'mri_pretess -nocorners wm.mgz wm norm.mgz wm_pretesswm.mgz'
>>> pretess.run()
Inputs:
[Mandatory]
in_filled: (an existing file name)
filled volume, usually wm.mgz
argument: ``%s``, position: -4
in_norm: (an existing file name)
the normalized, brain-extracted T1w image. Usually norm.mgz
argument: ``%s``, position: -2
label: (a unicode string or an integer (int or long), nipype default
value: wm)
label to be picked up, can be a Freesurfer's string like 'wm' or a
label value (e.g. 127 for rh or 255 for lh)
argument: ``%s``, position: -3
[Optional]
out_file: (a file name)
the output file after mri_pretess.
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
keep: (a boolean)
keep WM edits
argument: ``-keep``
nocorners: (a boolean)
do not remove corner configurations in addition to edge ones.
argument: ``-nocorners``
test: (a boolean)
adds a voxel that should be removed by mri_pretess. The value of the
voxel is set to that of an ON-edited WM, so it should be kept with
-keep. The output will NOT be saved.
argument: ``-test``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (an existing file name)
output file after mri_pretess
MRITessellate¶
Wraps the executable command mri_tessellate.
Uses Freesurfer’s mri_tessellate to create surfaces by tessellating a given input volume
Example¶
>>> import nipype.interfaces.freesurfer as fs
>>> tess = fs.MRITessellate()
>>> tess.inputs.in_file = 'aseg.mgz'
>>> tess.inputs.label_value = 17
>>> tess.inputs.out_file = 'lh.hippocampus'
>>> tess.run()
Inputs:
[Mandatory]
label_value: (an integer (int or long))
Label value which to tesselate from the input volume. (integer, if
input is "filled.mgz" volume, 127 is rh, 255 is lh)
argument: ``%d``, position: -2
in_file: (an existing file name)
Input volume to tesselate voxels from.
argument: ``%s``, position: -3
[Optional]
use_real_RAS_coordinates: (a boolean)
Saves surface with real RAS coordinates where c_(r,a,s) != 0
argument: ``-n``
out_file: (a file name)
output filename or True to generate one
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
tesselate_all_voxels: (a boolean)
Tessellate the surface of all voxels with different labels
argument: ``-a``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
surface: (an existing file name)
binary surface of the tessellation
MRIsCalc¶
Wraps the executable command mris_calc.
‘mris_calc’ is a simple calculator that operates on FreeSurfer curvatures and volumes. In most cases, the calculator functions with three arguments: two inputs and an <ACTION> linking them. Some actions, however, operate with only one input <file1>. In all cases, the first input <file1> is the name of a FreeSurfer curvature overlay (e.g. rh.curv) or volume file (e.g. orig.mgz). For two inputs, the calculator first assumes that the second input is a file. If, however, this second input file doesn’t exist, the calculator assumes it refers to a float number, which is then processed according to <ACTION>.Note: <file1> and <file2> should typically be generated on the same subject.
Examples¶
>>> from nipype.interfaces.freesurfer import MRIsCalc
>>> example = MRIsCalc()
>>> example.inputs.in_file1 = 'lh.area'
>>> example.inputs.in_file2 = 'lh.area.pial'
>>> example.inputs.action = 'add'
>>> example.inputs.out_file = 'area.mid'
>>> example.cmdline
'mris_calc -o lh.area.mid lh.area add lh.area.pial'
Inputs:
[Mandatory]
action: (a string)
Action to perform on input file(s)
argument: ``%s``, position: -2
out_file: (a file name)
Output file after calculation
argument: ``-o %s``
in_file1: (an existing file name)
Input file 1
argument: ``%s``, position: -3
[Optional]
in_file2: (an existing file name)
Input file 2
argument: ``%s``, position: -1
mutually_exclusive: in_float, in_int
in_float: (a float)
Input float
argument: ``%f``, position: -1
mutually_exclusive: in_file2, in_int
subjects_dir: (an existing directory name)
subjects directory
in_int: (an integer (int or long))
Input integer
argument: ``%d``, position: -1
mutually_exclusive: in_file2, in_float
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file after calculation
MRIsCombine¶
Wraps the executable command mris_convert.
Uses Freesurfer’s mris_convert to combine two surface files into one.
For complete details, see the mris_convert Documentation.
If given an out_file that does not begin with 'lh.' or 'rh.',
mris_convert will prepend 'lh.' to the file name.
To avoid this behavior, consider setting out_file = './<filename>', or
leaving out_file blank.
In a Node/Workflow, out_file is interpreted literally.
Example¶
>>> import nipype.interfaces.freesurfer as fs
>>> mris = fs.MRIsCombine()
>>> mris.inputs.in_files = ['lh.pial', 'rh.pial']
>>> mris.inputs.out_file = 'bh.pial'
>>> mris.cmdline
'mris_convert --combinesurfs lh.pial rh.pial bh.pial'
>>> mris.run()
Inputs:
[Mandatory]
in_files: (a list of from 2 to 2 items which are a file name)
Two surfaces to be combined.
argument: ``--combinesurfs %s``, position: 1
out_file: (a file name)
Output filename. Combined surfaces from in_files.
argument: ``%s``, position: -1
[Optional]
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (an existing file name)
Output filename. Combined surfaces from in_files.
MRIsConvert¶
Wraps the executable command mris_convert.
Uses Freesurfer’s mris_convert to convert surface files to various formats
Example¶
>>> import nipype.interfaces.freesurfer as fs
>>> mris = fs.MRIsConvert()
>>> mris.inputs.in_file = 'lh.pial'
>>> mris.inputs.out_datatype = 'gii'
>>> mris.run()
Inputs:
[Mandatory]
in_file: (an existing file name)
File to read/convert
argument: ``%s``, position: -2
out_datatype: ('asc' or 'ico' or 'tri' or 'stl' or 'vtk' or 'gii' or
'mgh' or 'mgz')
These file formats are supported: ASCII: .ascICO: .ico, .tri GEO:
.geo STL: .stl VTK: .vtk GIFTI: .gii MGH surface-encoded 'volume':
.mgh, .mgz
mutually_exclusive: out_file
out_file: (a file name)
output filename or True to generate one
argument: ``%s``, position: -1
mutually_exclusive: out_datatype
[Optional]
vertex: (a boolean)
Writes out neighbors of a vertex in each row
argument: ``-v``
to_scanner: (a boolean)
convert coordinates from native FS (tkr) coords to scanner coords
argument: ``--to-scanner``
origname: (a string)
read orig positions
argument: ``-o %s``
xyz_ascii: (a boolean)
Print only surface xyz to ascii file
argument: ``-a``
labelstats_outfile: (a file name)
outfile is name of gifti file to which label stats will be written
argument: ``--labelstats %s``
label_file: (an existing file name)
infile is .label file, label is name of this label
argument: ``--label %s``
rescale: (a boolean)
rescale vertex xyz so total area is same as group average
argument: ``-r``
parcstats_file: (an existing file name)
infile is name of text file containing label/val pairs
argument: ``--parcstats %s``
dataarray_num: (an integer (int or long))
if input is gifti, 'num' specifies which data array to use
argument: ``--da_num %d``
to_tkr: (a boolean)
convert coordinates from scanner coords to native FS (tkr) coords
argument: ``--to-tkr``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
functional_file: (an existing file name)
input is functional time-series or other multi-frame data (must
specify surface)
argument: ``-f %s``
annot_file: (an existing file name)
input is annotation or gifti label data
argument: ``--annot %s``
normal: (a boolean)
output is an ascii file where vertex data
argument: ``-n``
patch: (a boolean)
input is a patch, not a full surface
argument: ``-p``
scalarcurv_file: (an existing file name)
input is scalar curv overlay file (must still specify surface)
argument: ``-c %s``
talairachxfm_subjid: (a string)
apply talairach xfm of subject to vertex xyz
argument: ``-t %s``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
scale: (a float)
scale vertex xyz by scale
argument: ``-s %.3f``
Outputs:
converted: (an existing file name)
converted output surface
MRIsExpand¶
Wraps the executable command mris_expand.
Expands a surface (typically ?h.white) outwards while maintaining smoothness and self-intersection constraints.
Examples¶
>>> from nipype.interfaces.freesurfer import MRIsExpand
>>> mris_expand = MRIsExpand(thickness=True, distance=0.5)
>>> mris_expand.inputs.in_file = 'lh.white'
>>> mris_expand.cmdline
'mris_expand -thickness lh.white 0.5 expanded'
>>> mris_expand.inputs.out_name = 'graymid'
>>> mris_expand.cmdline
'mris_expand -thickness lh.white 0.5 graymid'
Inputs:
[Mandatory]
in_file: (an existing file name)
Surface to expand
argument: ``%s``, position: -3
distance: (a float)
Distance in mm or fraction of cortical thickness
argument: ``%g``, position: -2
[Optional]
spring: (a float)
Spring term (implicit: 0.05)
argument: ``-S %g``
thickness: (a boolean)
Expand by fraction of cortical thickness, not mm
argument: ``-thickness``
pial: (a unicode string)
Name of pial file (implicit: "pial")
If no path, uses directory of `in_file`
If no path AND missing "lh." or "rh.", derive from `in_file`
argument: ``-pial %s``
dt: (a float)
dt (implicit: 0.25)
argument: ``-T %g``
nsurfaces: (an integer (int or long))
Number of surfacces to write during expansion
argument: ``-N %d``
write_iterations: (an integer (int or long))
Write snapshots of expansion every N iterations
argument: ``-W %d``
sphere: (a unicode string, nipype default value: sphere)
WARNING: Do not change this trait
smooth_averages: (an integer (int or long))
Smooth surface with N iterations after expansion
argument: ``-A %d``
thickness_name: (a unicode string)
Name of thickness file (implicit: "thickness")
If no path, uses directory of `in_file`
If no path AND missing "lh." or "rh.", derive from `in_file`
argument: ``-thickness_name %s``
subjects_dir: (an existing directory name)
subjects directory
out_name: (a unicode string, nipype default value: expanded)
Output surface file
If no path, uses directory of `in_file`
If no path AND missing "lh." or "rh.", derive from `in_file`
argument: ``%s``, position: -1
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output surface file
MRIsInflate¶
Wraps the executable command mris_inflate.
This program will inflate a cortical surface.
Examples¶
>>> from nipype.interfaces.freesurfer import MRIsInflate
>>> inflate = MRIsInflate()
>>> inflate.inputs.in_file = 'lh.pial'
>>> inflate.inputs.no_save_sulc = True
>>> inflate.cmdline
'mris_inflate -no-save-sulc lh.pial lh.inflated'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input file for MRIsInflate
argument: ``%s``, position: -2
[Optional]
no_save_sulc: (a boolean)
Do not save sulc file as output
argument: ``-no-save-sulc``
mutually_exclusive: out_sulc
out_file: (a file name)
Output file for MRIsInflate
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
out_sulc: (a file name)
Output sulc file
mutually_exclusive: no_save_sulc
Outputs:
out_file: (a file name)
Output file for MRIsInflate
out_sulc: (a file name)
Output sulc file
MakeAverageSubject¶
Wraps the executable command make_average_subject.
Make an average freesurfer subject
Examples¶
>>> from nipype.interfaces.freesurfer import MakeAverageSubject
>>> avg = MakeAverageSubject(subjects_ids=['s1', 's2'])
>>> avg.cmdline
'make_average_subject --out average --subjects s1 s2'
Inputs:
[Mandatory]
subjects_ids: (a list of items which are a unicode string)
freesurfer subjects ids to average
argument: ``--subjects %s``
[Optional]
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
out_name: (a file name, nipype default value: average)
name for the average subject
argument: ``--out %s``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
average_subject_name: (a unicode string)
Output registration file
MakeSurfaces¶
Wraps the executable command mris_make_surfaces.
This program positions the tessellation of the cortical surface at the white matter surface, then the gray matter surface and generate surface files for these surfaces as well as a ‘curvature’ file for the cortical thickness, and a surface file which approximates layer IV of the cortical sheet.
Examples¶
>>> from nipype.interfaces.freesurfer import MakeSurfaces
>>> makesurfaces = MakeSurfaces()
>>> makesurfaces.inputs.hemisphere = 'lh'
>>> makesurfaces.inputs.subject_id = '10335'
>>> makesurfaces.inputs.in_orig = 'lh.pial'
>>> makesurfaces.inputs.in_wm = 'wm.mgz'
>>> makesurfaces.inputs.in_filled = 'norm.mgz'
>>> makesurfaces.inputs.in_label = 'aparc+aseg.nii'
>>> makesurfaces.inputs.in_T1 = 'T1.mgz'
>>> makesurfaces.inputs.orig_pial = 'lh.pial'
>>> makesurfaces.cmdline
'mris_make_surfaces -T1 T1.mgz -orig pial -orig_pial pial 10335 lh'
Inputs:
[Mandatory]
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``%s``, position: -2
in_orig: (an existing file name)
Implicit input file <hemisphere>.orig
argument: ``-orig %s``
hemisphere: ('lh' or 'rh')
Hemisphere being processed
argument: ``%s``, position: -1
in_wm: (an existing file name)
Implicit input file wm.mgz
in_filled: (an existing file name)
Implicit input file filled.mgz
[Optional]
in_label: (an existing file name)
Implicit input label/<hemisphere>.aparc.annot
mutually_exclusive: noaparc
maximum: (a float)
No documentation (used for longitudinal processing)
argument: ``-max %.1f``
orig_white: (an existing file name)
Specify a white surface to start with
argument: ``-orig_white %s``
noaparc: (a boolean)
No documentation. Direct questions to analysis-
bugs@nmr.mgh.harvard.edu
argument: ``-noaparc``
mutually_exclusive: in_label
in_white: (an existing file name)
Implicit input that is sometimes used
fix_mtl: (a boolean)
Undocumented flag
argument: ``-fix_mtl``
no_white: (a boolean)
Undocumented flag
argument: ``-nowhite``
longitudinal: (a boolean)
No documentation (used for longitudinal processing)
argument: ``-long``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
in_aseg: (an existing file name)
Input segmentation file
argument: ``-aseg %s``
white: (a string)
White surface name
argument: ``-white %s``
copy_inputs: (a boolean)
If running as a node, set this to True.This will copy the input
files to the node directory.
in_T1: (an existing file name)
Input brain or T1 file
argument: ``-T1 %s``
orig_pial: (an existing file name)
Specify a pial surface to start with
argument: ``-orig_pial %s``
requires: in_label
subjects_dir: (an existing directory name)
subjects directory
white_only: (a boolean)
Undocumented flage
argument: ``-whiteonly``
mgz: (a boolean)
No documentation. Direct questions to analysis-
bugs@nmr.mgh.harvard.edu
argument: ``-mgz``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_white: (a file name)
Output white matter hemisphere surface
out_thickness: (a file name)
Output thickness file for MakeSurfaces
out_pial: (a file name)
Output pial surface for MakeSurfaces
out_curv: (a file name)
Output curv file for MakeSurfaces
out_cortex: (a file name)
Output cortex file for MakeSurfaces
out_area: (a file name)
Output area file for MakeSurfaces
ParcellationStats¶
Wraps the executable command mris_anatomical_stats.
This program computes a number of anatomical properties.
Examples¶
>>> from nipype.interfaces.freesurfer import ParcellationStats
>>> import os
>>> parcstats = ParcellationStats()
>>> parcstats.inputs.subject_id = '10335'
>>> parcstats.inputs.hemisphere = 'lh'
>>> parcstats.inputs.wm = './../mri/wm.mgz'
>>> parcstats.inputs.transform = './../mri/transforms/talairach.xfm'
>>> parcstats.inputs.brainmask = './../mri/brainmask.mgz'
>>> parcstats.inputs.aseg = './../mri/aseg.presurf.mgz'
>>> parcstats.inputs.ribbon = './../mri/ribbon.mgz'
>>> parcstats.inputs.lh_pial = 'lh.pial'
>>> parcstats.inputs.rh_pial = 'lh.pial'
>>> parcstats.inputs.lh_white = 'lh.white'
>>> parcstats.inputs.rh_white = 'rh.white'
>>> parcstats.inputs.thickness = 'lh.thickness'
>>> parcstats.inputs.surface = 'white'
>>> parcstats.inputs.out_table = 'lh.test.stats'
>>> parcstats.inputs.out_color = 'test.ctab'
>>> parcstats.cmdline
'mris_anatomical_stats -c test.ctab -f lh.test.stats 10335 lh white'
Inputs:
[Mandatory]
hemisphere: ('lh' or 'rh')
Hemisphere being processed
argument: ``%s``, position: -2
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``%s``, position: -3
rh_white: (an existing file name)
Input file must be <subject_id>/surf/rh.white
thickness: (an existing file name)
Input file must be <subject_id>/surf/?h.thickness
ribbon: (an existing file name)
Input file must be <subject_id>/mri/ribbon.mgz
aseg: (an existing file name)
Input file must be <subject_id>/mri/aseg.presurf.mgz
brainmask: (an existing file name)
Input file must be <subject_id>/mri/brainmask.mgz
transform: (an existing file name)
Input file must be <subject_id>/mri/transforms/talairach.xfm
lh_pial: (an existing file name)
Input file must be <subject_id>/surf/lh.pial
wm: (an existing file name)
Input file must be <subject_id>/mri/wm.mgz
rh_pial: (an existing file name)
Input file must be <subject_id>/surf/rh.pial
lh_white: (an existing file name)
Input file must be <subject_id>/surf/lh.white
[Optional]
in_label: (a file name)
limit calculations to specified label
argument: ``-l %s``
mutually_exclusive: in_annotatoin, out_color
in_cortex: (a file name)
Input cortex label
argument: ``-cortex %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
cortex_label: (an existing file name)
implicit input file {hemi}.cortex.label
out_color: (a file name)
Output annotation files's colortable to text file
argument: ``-c %s``
mutually_exclusive: in_label
copy_inputs: (a boolean)
If running as a node, set this to True.This will copy the input
files to the node directory.
surface: (a string)
Input surface (e.g. 'white')
argument: ``%s``, position: -1
in_annotation: (a file name)
compute properties for each label in the annotation file separately
argument: ``-a %s``
mutually_exclusive: in_label
th3: (a boolean)
turns on new vertex-wise volume calc for mris_anat_stats
argument: ``-th3``
requires: cortex_label
subjects_dir: (an existing directory name)
subjects directory
tabular_output: (a boolean)
Tabular output
argument: ``-b``
mgz: (a boolean)
Look for mgz files
argument: ``-mgz``
out_table: (a file name)
Table output to tablefile
argument: ``-f %s``
requires: tabular_output
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_color: (a file name)
Output annotation files's colortable to text file
out_table: (a file name)
Table output to tablefile
RelabelHypointensities¶
Wraps the executable command mri_relabel_hypointensities.
Relabel Hypointensities
Examples¶
>>> from nipype.interfaces.freesurfer import RelabelHypointensities
>>> relabelhypos = RelabelHypointensities()
>>> relabelhypos.inputs.lh_white = 'lh.pial'
>>> relabelhypos.inputs.rh_white = 'lh.pial'
>>> relabelhypos.inputs.surf_directory = '.'
>>> relabelhypos.inputs.aseg = 'aseg.mgz'
>>> relabelhypos.cmdline
'mri_relabel_hypointensities aseg.mgz . aseg.hypos.mgz'
Inputs:
[Mandatory]
aseg: (an existing file name)
Input aseg file
argument: ``%s``, position: -3
lh_white: (an existing file name)
Implicit input file must be lh.white
rh_white: (an existing file name)
Implicit input file must be rh.white
[Optional]
out_file: (a file name)
Output aseg file
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
surf_directory: (a directory name, nipype default value: .)
Directory containing lh.white and rh.white
argument: ``%s``, position: -2
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output aseg file
argument: ``%s``
RemoveIntersection¶
Wraps the executable command mris_remove_intersection.
This program removes the intersection of the given MRI
Examples¶
>>> from nipype.interfaces.freesurfer import RemoveIntersection
>>> ri = RemoveIntersection()
>>> ri.inputs.in_file = 'lh.pial'
>>> ri.cmdline
'mris_remove_intersection lh.pial lh.pial'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input file for RemoveIntersection
argument: ``%s``, position: -2
[Optional]
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
out_file: (a file name)
Output file for RemoveIntersection
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file for RemoveIntersection
RemoveNeck¶
Wraps the executable command mri_remove_neck.
Crops the neck out of the mri image
Examples¶
>>> from nipype.interfaces.freesurfer import TalairachQC
>>> remove_neck = RemoveNeck()
>>> remove_neck.inputs.in_file = 'norm.mgz'
>>> remove_neck.inputs.transform = 'trans.mat'
>>> remove_neck.inputs.template = 'trans.mat'
>>> remove_neck.cmdline
'mri_remove_neck norm.mgz trans.mat trans.mat norm_noneck.mgz'
Inputs:
[Mandatory]
template: (an existing file name)
Input template file for RemoveNeck
argument: ``%s``, position: -2
transform: (an existing file name)
Input transform file for RemoveNeck
argument: ``%s``, position: -3
in_file: (an existing file name)
Input file for RemoveNeck
argument: ``%s``, position: -4
[Optional]
radius: (an integer (int or long))
Radius
argument: ``-radius %d``
out_file: (a file name)
Output file for RemoveNeck
argument: ``%s``, position: -1
subjects_dir: (an existing directory name)
subjects directory
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file with neck removed
SampleToSurface¶
Wraps the executable command mri_vol2surf.
Sample a volume to the cortical surface using Freesurfer’s mri_vol2surf.
You must supply a sampling method, range, and units. You can project either a given distance (in mm) or a given fraction of the cortical thickness at that vertex along the surface normal from the target surface, and then set the value of that vertex to be either the value at that point or the average or maximum value found along the projection vector.
By default, the surface will be saved as a vector with a length equal to the
number of vertices on the target surface. This is not a problem for Freesurfer
programs, but if you intend to use the file with interfaces to another package,
you must set the reshape input to True, which will factor the surface vector
into a matrix with dimensions compatible with proper Nifti files.
Examples¶
>>> import nipype.interfaces.freesurfer as fs
>>> sampler = fs.SampleToSurface(hemi="lh")
>>> sampler.inputs.source_file = "cope1.nii.gz"
>>> sampler.inputs.reg_file = "register.dat"
>>> sampler.inputs.sampling_method = "average"
>>> sampler.inputs.sampling_range = 1
>>> sampler.inputs.sampling_units = "frac"
>>> sampler.cmdline
'mri_vol2surf --hemi lh --o ...lh.cope1.mgz --reg register.dat --projfrac-avg 1.000 --mov cope1.nii.gz'
>>> res = sampler.run()
Inputs:
[Mandatory]
reg_header: (a boolean)
register based on header geometry
argument: ``--regheader %s``
mutually_exclusive: reg_file, reg_header, mni152reg
requires: subject_id
sampling_method: ('point' or 'max' or 'average')
how to sample -- at a point or at the max or average over a range
argument: ``%s``
mutually_exclusive: projection_stem
requires: sampling_range, sampling_units
projection_stem: (a string)
stem for precomputed linear estimates and volume fractions
mutually_exclusive: sampling_method
mni152reg: (a boolean)
source volume is in MNI152 space
argument: ``--mni152reg``
mutually_exclusive: reg_file, reg_header, mni152reg
hemi: ('lh' or 'rh')
target hemisphere
argument: ``--hemi %s``
reg_file: (an existing file name)
source-to-reference registration file
argument: ``--reg %s``
mutually_exclusive: reg_file, reg_header, mni152reg
source_file: (an existing file name)
volume to sample values from
argument: ``--mov %s``
[Optional]
cortex_mask: (a boolean)
mask the target surface with hemi.cortex.label
argument: ``--cortex``
mutually_exclusive: mask_label
sampling_units: ('mm' or 'frac')
sampling range type -- either 'mm' or 'frac'
sampling_range: (a float or a tuple of the form: (a float, a float, a
float))
sampling range - a point or a tuple of (min, max, step)
hits_type: ('cor' or 'mgh' or 'mgz' or 'minc' or 'analyze' or
'analyze4d' or 'spm' or 'afni' or 'brik' or 'bshort' or 'bfloat'
or 'sdt' or 'outline' or 'otl' or 'gdf' or 'nifti1' or 'nii' or
'niigz')
hits file type
argument: ``--srchit_type``
target_subject: (a string)
sample to surface of different subject than source
argument: ``--trgsubject %s``
vox_file: (a boolean or a file name)
text file with the number of voxels intersecting the surface
argument: ``--nvox %s``
apply_trans: (a tuple of the form: (a float, a float, a float))
translation (in mm) to apply to reg matrix
argument: ``--trans %.3f %.3f %.3f``
apply_rot: (a tuple of the form: (a float, a float, a float))
rotation angles (in degrees) to apply to reg matrix
argument: ``--rot %.3f %.3f %.3f``
reshape_slices: (an integer (int or long))
number of 'slices' for reshaping
argument: ``--rf %d``
interp_method: ('nearest' or 'trilinear')
interpolation method
argument: ``--interp %s``
reference_file: (an existing file name)
reference volume (default is orig.mgz)
argument: ``--ref %s``
frame: (an integer (int or long))
save only one frame (0-based)
argument: ``--frame %d``
reshape: (a boolean)
reshape surface vector to fit in non-mgh format
argument: ``--reshape``
mutually_exclusive: no_reshape
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
mask_label: (an existing file name)
label file to mask output with
argument: ``--mask %s``
mutually_exclusive: cortex_mask
subject_id: (a string)
subject id
no_reshape: (a boolean)
do not reshape surface vector (default)
argument: ``--noreshape``
mutually_exclusive: reshape
ico_order: (an integer (int or long))
icosahedron order when target_subject is 'ico'
argument: ``--icoorder %d``
requires: target_subject
out_type: ('cor' or 'mgh' or 'mgz' or 'minc' or 'analyze' or
'analyze4d' or 'spm' or 'afni' or 'brik' or 'bshort' or 'bfloat'
or 'sdt' or 'outline' or 'otl' or 'gdf' or 'nifti1' or 'nii' or
'niigz' or 'gii')
output file type
argument: ``--out_type %s``
out_file: (a file name)
surface file to write
argument: ``--o %s``
smooth_vol: (a float)
smooth input volume (mm fwhm)
argument: ``--fwhm %.3f``
surf_reg: (a boolean or a unicode string)
use surface registration to target subject
argument: ``--surfreg %s``
requires: target_subject
scale_input: (a float)
multiple all intensities by scale factor
argument: ``--scale %.3f``
float2int_method: ('round' or 'tkregister')
method to convert reg matrix values (default is round)
argument: ``--float2int %s``
hits_file: (a boolean or an existing file name)
save image with number of hits at each voxel
argument: ``--srchit %s``
surface: (a string)
target surface (default is white)
argument: ``--surf %s``
smooth_surf: (a float)
smooth output surface (mm fwhm)
argument: ``--surf-fwhm %.3f``
subjects_dir: (an existing directory name)
subjects directory
override_reg_subj: (a boolean)
override the subject in the reg file header
argument: ``--srcsubject %s``
requires: subject_id
fix_tk_reg: (a boolean)
make reg matrix round-compatible
argument: ``--fixtkreg``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
hits_file: (an existing file name)
image with number of hits at each voxel
out_file: (an existing file name)
surface file
vox_file: (an existing file name)
text file with the number of voxels intersecting the surface
SmoothTessellation¶
Wraps the executable command mris_smooth.
This program smooths the tessellation of a surface using ‘mris_smooth’
See also
- SurfaceSmooth() Interface
- For smoothing a scalar field along a surface manifold
Example¶
>>> import nipype.interfaces.freesurfer as fs
>>> smooth = fs.SmoothTessellation()
>>> smooth.inputs.in_file = 'lh.hippocampus.stl'
>>> smooth.run()
Inputs:
[Mandatory]
in_file: (an existing file name)
Input volume to tesselate voxels from.
argument: ``%s``, position: -2
[Optional]
gaussian_curvature_norm_steps: (an integer (int or long))
Use Gaussian curvature smoothing
argument: ``%d ``
subjects_dir: (an existing directory name)
subjects directory
out_file: (a file name)
output filename or True to generate one
argument: ``%s``, position: -1
seed: (an integer (int or long))
Seed for setting random number generator
argument: ``-seed %d``
out_curvature_file: (a file name)
Write curvature to ?h.curvname (default "curv")
argument: ``-c %s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
out_area_file: (a file name)
Write area to ?h.areaname (default "area")
argument: ``-b %s``
use_gaussian_curvature_smoothing: (a boolean)
Use Gaussian curvature smoothing
argument: ``-g``
smoothing_iterations: (an integer (int or long))
Number of smoothing iterations (default=10)
argument: ``-n %d``
gaussian_curvature_smoothing_steps: (an integer (int or long))
Use Gaussian curvature smoothing
argument: ``%d``
normalize_area: (a boolean)
Normalizes the area after smoothing
argument: ``-area``
use_momentum: (a boolean)
Uses momentum
argument: ``-m``
curvature_averaging_iterations: (an integer (int or long))
Number of curvature averaging iterations (default=10)
argument: ``-a %d``
disable_estimates: (a boolean)
Disables the writing of curvature and area estimates
argument: ``-nw``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
snapshot_writing_iterations: (an integer (int or long))
Write snapshot every "n" iterations
argument: ``-w %d``
Outputs:
surface: (an existing file name)
Smoothed surface file
Sphere¶
Wraps the executable command mris_sphere.
This program will add a template into an average surface
Examples¶
>>> from nipype.interfaces.freesurfer import Sphere
>>> sphere = Sphere()
>>> sphere.inputs.in_file = 'lh.pial'
>>> sphere.cmdline
'mris_sphere lh.pial lh.sphere'
Inputs:
[Mandatory]
in_file: (an existing file name)
Input file for Sphere
argument: ``%s``, position: -2
[Optional]
out_file: (a file name)
Output file for Sphere
argument: ``%s``, position: -1
magic: (a boolean)
No documentation. Direct questions to analysis-
bugs@nmr.mgh.harvard.edu
argument: ``-q``
subjects_dir: (an existing directory name)
subjects directory
seed: (an integer (int or long))
Seed for setting random number generator
argument: ``-seed %d``
in_smoothwm: (an existing file name)
Input surface required when -q flag is not selected
num_threads: (an integer (int or long))
allows for specifying more threads
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (a file name)
Output file for Sphere
Surface2VolTransform¶
Wraps the executable command mri_surf2vol.
Use FreeSurfer mri_surf2vol to apply a transform.
Examples¶
>>> from nipype.interfaces.freesurfer import Surface2VolTransform
>>> xfm2vol = Surface2VolTransform()
>>> xfm2vol.inputs.source_file = 'lh.cope1.mgz'
>>> xfm2vol.inputs.reg_file = 'register.mat'
>>> xfm2vol.inputs.hemi = 'lh'
>>> xfm2vol.inputs.template_file = 'cope1.nii.gz'
>>> xfm2vol.inputs.subjects_dir = '.'
>>> xfm2vol.cmdline
'mri_surf2vol --hemi lh --volreg register.mat --surfval lh.cope1.mgz --sd . --template cope1.nii.gz --outvol lh.cope1_asVol.nii --vtxvol lh.cope1_asVol_vertex.nii'
>>> res = xfm2vol.run()
Inputs:
[Mandatory]
hemi: (a unicode string)
hemisphere of data
argument: ``--hemi %s``
reg_file: (an existing file name)
tkRAS-to-tkRAS matrix (tkregister2 format)
argument: ``--volreg %s``
mutually_exclusive: subject_id
source_file: (an existing file name)
This is the source of the surface values
argument: ``--surfval %s``
mutually_exclusive: mkmask
[Optional]
subject_id: (a unicode string)
subject id
argument: ``--identity %s``
mutually_exclusive: reg_file
transformed_file: (a file name)
Output volume
argument: ``--outvol %s``
projfrac: (a float)
thickness fraction
argument: ``--projfrac %s``
mkmask: (a boolean)
make a mask instead of loading surface values
argument: ``--mkmask``
mutually_exclusive: source_file
vertexvol_file: (a file name)
Path name of the vertex output volume, which is the same as output
volume except that the value of each voxel is the vertex-id that is
mapped to that voxel.
argument: ``--vtxvol %s``
template_file: (an existing file name)
Output template volume
argument: ``--template %s``
surf_name: (a unicode string)
surfname (default is white)
argument: ``--surf %s``
subjects_dir: (a unicode string)
freesurfer subjects directory defaults to $SUBJECTS_DIR
argument: ``--sd %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
vertexvol_file: (a file name)
vertex map volume path id. Optional
transformed_file: (an existing file name)
Path to output file if used normally
SurfaceSmooth¶
Wraps the executable command mri_surf2surf.
Smooth a surface image with mri_surf2surf.
The surface is smoothed by an interative process of averaging the value at each vertex with those of its adjacent neighbors. You may supply either the number of iterations to run or a desired effective FWHM of the smoothing process. If the latter, the underlying program will calculate the correct number of iterations internally.
See also
- SmoothTessellation() Interface
- For smoothing a tessellated surface (e.g. in gifti or .stl)
Examples¶
>>> import nipype.interfaces.freesurfer as fs
>>> smoother = fs.SurfaceSmooth()
>>> smoother.inputs.in_file = "lh.cope1.mgz"
>>> smoother.inputs.subject_id = "subj_1"
>>> smoother.inputs.hemi = "lh"
>>> smoother.inputs.fwhm = 5
>>> smoother.cmdline
'mri_surf2surf --cortex --fwhm 5.0000 --hemi lh --sval lh.cope1.mgz --tval ...lh.cope1_smooth5.mgz --s subj_1'
>>> smoother.run()
Inputs:
[Mandatory]
subject_id: (a string)
subject id of surface file
argument: ``--s %s``
in_file: (a file name)
source surface file
argument: ``--sval %s``
hemi: ('lh' or 'rh')
hemisphere to operate on
argument: ``--hemi %s``
[Optional]
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
out_file: (a file name)
surface file to write
argument: ``--tval %s``
subjects_dir: (an existing directory name)
subjects directory
cortex: (a boolean, nipype default value: True)
only smooth within $hemi.cortex.label
argument: ``--cortex``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
smooth_iters: (an integer (int or long))
iterations of the smoothing process
argument: ``--smooth %d``
mutually_exclusive: fwhm
fwhm: (a float)
effective FWHM of the smoothing process
argument: ``--fwhm %.4f``
mutually_exclusive: smooth_iters
reshape: (a boolean)
reshape surface vector to fit in non-mgh format
argument: ``--reshape``
Outputs:
out_file: (an existing file name)
smoothed surface file
SurfaceSnapshots¶
Wraps the executable command tksurfer.
Use Tksurfer to save pictures of the cortical surface.
By default, this takes snapshots of the lateral, medial, ventral,
and dorsal surfaces. See the six_images option to add the
anterior and posterior surfaces.
You may also supply your own tcl script (see the Freesurfer wiki for information on scripting tksurfer). The screenshot stem is set as the environment variable “_SNAPSHOT_STEM”, which you can use in your own scripts.
Node that this interface will not run if you do not have graphics enabled on your system.
Examples¶
>>> import nipype.interfaces.freesurfer as fs
>>> shots = fs.SurfaceSnapshots(subject_id="fsaverage", hemi="lh", surface="pial")
>>> shots.inputs.overlay = "zstat1.nii.gz"
>>> shots.inputs.overlay_range = (2.3, 6)
>>> shots.inputs.overlay_reg = "register.dat"
>>> res = shots.run()
Inputs:
[Mandatory]
subject_id: (a string)
subject to visualize
argument: ``%s``, position: 1
surface: (a string)
surface to visualize
argument: ``%s``, position: 3
hemi: ('lh' or 'rh')
hemisphere to visualize
argument: ``%s``, position: 2
[Optional]
identity_reg: (a boolean)
use the identity matrix to register the overlay to the surface
argument: ``-overlay-reg-identity``
mutually_exclusive: overlay_reg, identity_reg, mni152_reg
show_gray_curv: (a boolean)
show curvature in gray
argument: ``-gray``
mutually_exclusive: show_curv
show_color_scale: (a boolean)
display the color scale bar
argument: ``-colscalebarflag 1``
annot_file: (an existing file name)
path to annotation file to display
argument: ``-annotation %s``
mutually_exclusive: annot_name
label_file: (an existing file name)
path to label file to display
argument: ``-label %s``
mutually_exclusive: label_name
show_color_text: (a boolean)
display text in the color scale bar
argument: ``-colscaletext 1``
six_images: (a boolean)
also take anterior and posterior snapshots
overlay_range_offset: (a float)
overlay range will be symettric around offset value
argument: ``-foffset %.3f``
overlay: (an existing file name)
load an overlay volume/surface
argument: ``-overlay %s``
requires: overlay_range
label_name: (a string)
name of label to display (must be in $subject/label directory
argument: ``-label %s``
mutually_exclusive: label_file
label_outline: (a boolean)
draw label/annotation as outline
argument: ``-label-outline``
truncate_overlay: (a boolean)
truncate the overlay display
argument: ``-truncphaseflag 1``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
overlay_reg: (a file name)
registration matrix file to register overlay to surface
argument: ``-overlay-reg %s``
mutually_exclusive: overlay_reg, identity_reg, mni152_reg
stem_template_args: (a list of items which are a string)
input names to use as arguments for a string-formated stem template
requires: screenshot_stem
colortable: (an existing file name)
load colortable file
argument: ``-colortable %s``
sphere_suffix: (a string)
set the sphere.reg suffix string
argument: ``-sphere %s``
annot_name: (a string)
name of annotation to display (must be in $subject/label directory
argument: ``-annotation %s``
mutually_exclusive: annot_file
reverse_overlay: (a boolean)
reverse the overlay display
argument: ``-revphaseflag 1``
overlay_range: (a float or a tuple of the form: (a float, a float) or
a tuple of the form: (a float, a float, a float))
overlay range--either min, (min, max) or (min, mid, max)
argument: ``%s``
label_under: (a boolean)
draw label/annotation under overlay
argument: ``-labels-under``
screenshot_stem: (a string)
stem to use for screenshot file names
invert_overlay: (a boolean)
invert the overlay display
argument: ``-invphaseflag 1``
tcl_script: (an existing file name)
override default screenshot script
argument: ``%s``
subjects_dir: (an existing directory name)
subjects directory
mni152_reg: (a boolean)
use to display a volume in MNI152 space on the average subject
argument: ``-mni152reg``
mutually_exclusive: overlay_reg, identity_reg, mni152_reg
patch_file: (an existing file name)
load a patch
argument: ``-patch %s``
demean_overlay: (a boolean)
remove mean from overlay
argument: ``-zm``
show_curv: (a boolean)
show curvature
argument: ``-curv``
mutually_exclusive: show_gray_curv
orig_suffix: (a string)
set the orig surface suffix string
argument: ``-orig %s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
snapshots: (a list of items which are an existing file name)
tiff images of the surface from different perspectives
SurfaceTransform¶
Wraps the executable command mri_surf2surf.
Transform a surface file from one subject to another via a spherical registration.
Both the source and target subject must reside in your Subjects Directory, and they must have been processed with recon-all, unless you are transforming to one of the icosahedron meshes.
Examples¶
>>> from nipype.interfaces.freesurfer import SurfaceTransform
>>> sxfm = SurfaceTransform()
>>> sxfm.inputs.source_file = "lh.cope1.nii.gz"
>>> sxfm.inputs.source_subject = "my_subject"
>>> sxfm.inputs.target_subject = "fsaverage"
>>> sxfm.inputs.hemi = "lh"
>>> sxfm.run()
Inputs:
[Mandatory]
target_subject: (a string)
subject id of target surface
argument: ``--trgsubject %s``
source_subject: (a string)
subject id for source surface
argument: ``--srcsubject %s``
hemi: ('lh' or 'rh')
hemisphere to transform
argument: ``--hemi %s``
source_annot_file: (an existing file name)
surface annotation file
argument: ``--sval-annot %s``
mutually_exclusive: source_file
source_file: (an existing file name)
surface file with source values
argument: ``--sval %s``
mutually_exclusive: source_annot_file
[Optional]
source_type: ('cor' or 'mgh' or 'mgz' or 'minc' or 'analyze' or
'analyze4d' or 'spm' or 'afni' or 'brik' or 'bshort' or 'bfloat'
or 'sdt' or 'outline' or 'otl' or 'gdf' or 'nifti1' or 'nii' or
'niigz')
source file format
argument: ``--sfmt %s``
requires: source_file
out_file: (a file name)
surface file to write
argument: ``--tval %s``
reshape_factor: (an integer (int or long))
number of slices in reshaped image
argument: ``--reshape-factor``
target_type: ('cor' or 'mgh' or 'mgz' or 'minc' or 'analyze' or
'analyze4d' or 'spm' or 'afni' or 'brik' or 'bshort' or 'bfloat'
or 'sdt' or 'outline' or 'otl' or 'gdf' or 'nifti1' or 'nii' or
'niigz' or 'gii')
output format
argument: ``--tfmt %s``
target_ico_order: (1 or 2 or 3 or 4 or 5 or 6 or 7)
order of the icosahedron if target_subject is 'ico'
argument: ``--trgicoorder %d``
subjects_dir: (an existing directory name)
subjects directory
reshape: (a boolean)
reshape output surface to conform with Nifti
argument: ``--reshape``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_file: (an existing file name)
transformed surface file
TalairachAVI¶
Wraps the executable command talairach_avi.
Front-end for Avi Snyders image registration tool. Computes the talairach transform that maps the input volume to the MNI average_305. This does not add the xfm to the header of the input file. When called by recon-all, the xfm is added to the header after the transform is computed.
Examples¶
>>> from nipype.interfaces.freesurfer import TalairachAVI
>>> example = TalairachAVI()
>>> example.inputs.in_file = 'norm.mgz'
>>> example.inputs.out_file = 'trans.mat'
>>> example.cmdline
'talairach_avi --i norm.mgz --xfm trans.mat'
>>> example.run()
Inputs:
[Mandatory]
in_file: (an existing file name)
input volume
argument: ``--i %s``
out_file: (a file name)
output xfm file
argument: ``--xfm %s``
[Optional]
subjects_dir: (an existing directory name)
subjects directory
atlas: (a string)
alternate target atlas (in freesurfer/average dir)
argument: ``--atlas %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_log: (a file name)
The output log file for TalairachAVI
out_txt: (a file name)
The output text file for TaliarachAVI
out_file: (a file name)
The output transform for TalairachAVI
TalairachQC¶
Wraps the executable command tal_QC_AZS.
Examples¶
>>> from nipype.interfaces.freesurfer import TalairachQC
>>> qc = TalairachQC()
>>> qc.inputs.log_file = 'dirs.txt'
>>> qc.cmdline
'tal_QC_AZS dirs.txt'
Inputs:
[Mandatory]
log_file: (an existing file name)
The log file for TalairachQC
argument: ``%s``, position: 0
[Optional]
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
subjects_dir: (an existing directory name)
subjects directory
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
log_file: (an existing file name, nipype default value:
output.nipype)
The output log
Tkregister2¶
Wraps the executable command tkregister2.
Examples¶
Get transform matrix between orig (tkRAS) and native (scannerRAS) coordinates in Freesurfer. Implements the first step of mapping surfaces to native space in this guide.
>>> from nipype.interfaces.freesurfer import Tkregister2
>>> tk2 = Tkregister2(reg_file='T1_to_native.dat')
>>> tk2.inputs.moving_image = 'T1.mgz'
>>> tk2.inputs.target_image = 'structural.nii'
>>> tk2.inputs.reg_header = True
>>> tk2.cmdline
'tkregister2 --mov T1.mgz --noedit --reg T1_to_native.dat --regheader --targ structural.nii'
>>> tk2.run()
The example below uses tkregister2 without the manual editing stage to convert FSL-style registration matrix (.mat) to FreeSurfer-style registration matrix (.dat)
>>> from nipype.interfaces.freesurfer import Tkregister2
>>> tk2 = Tkregister2()
>>> tk2.inputs.moving_image = 'epi.nii'
>>> tk2.inputs.fsl_in_matrix = 'flirt.mat'
>>> tk2.cmdline
'tkregister2 --fsl flirt.mat --mov epi.nii --noedit --reg register.dat'
>>> tk2.run()
Inputs:
[Mandatory]
moving_image: (an existing file name)
moving volume
argument: ``--mov %s``
reg_file: (a file name, nipype default value: register.dat)
freesurfer-style registration file
argument: ``--reg %s``
[Optional]
subject_id: (a string)
freesurfer subject ID
argument: ``--s %s``
invert_lta_in: (a boolean)
Invert input LTA before applying
requires: lta_in
target_image: (an existing file name)
target volume
argument: ``--targ %s``
mutually_exclusive: fstarg
lta_in: (an existing file name)
use a matrix in MNI coordinates as initial registration
argument: ``--lta %s``
fstarg: (a boolean)
use subject's T1 as reference
argument: ``--fstarg``
mutually_exclusive: target_image
invert_lta_out: (a boolean)
Invert input LTA before applying
argument: ``--ltaout-inv``
requires: lta_in
fstal: (a boolean)
set mov to be tal and reg to be tal xfm
argument: ``--fstal``
mutually_exclusive: target_image, moving_image, reg_file
movscale: (a float)
adjust registration matrix to scale mov
argument: ``--movscale %f``
noedit: (a boolean, nipype default value: True)
do not open edit window (exit)
argument: ``--noedit``
reg_header: (a boolean)
compute regstration from headers
argument: ``--regheader``
lta_out: (a bool or None or a file name)
output registration file (LTA format)
argument: ``--ltaout %s``
subjects_dir: (an existing directory name)
subjects directory
fsl_in_matrix: (an existing file name)
fsl-style registration input matrix
argument: ``--fsl %s``
fsl_out: (a bool or None or a file name)
compute an FSL-compatible resgitration matrix
argument: ``--fslregout %s``
xfm: (an existing file name)
use a matrix in MNI coordinates as initial registration
argument: ``--xfm %s``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
reg_file: (an existing file name)
freesurfer-style registration file
fsl_file: (a file name)
FSL-style registration file
lta_file: (a file name)
LTA-style registration file
VolumeMask¶
Wraps the executable command mris_volmask.
Computes a volume mask, at the same resolution as the <subject>/mri/brain.mgz. The volume mask contains 4 values: LH_WM (default 10), LH_GM (default 100), RH_WM (default 20), RH_GM (default 200). The algorithm uses the 4 surfaces situated in <subject>/surf/ [lh|rh].[white|pial] and labels voxels based on the signed-distance function from the surface.
Examples¶
>>> from nipype.interfaces.freesurfer import VolumeMask
>>> volmask = VolumeMask()
>>> volmask.inputs.left_whitelabel = 2
>>> volmask.inputs.left_ribbonlabel = 3
>>> volmask.inputs.right_whitelabel = 41
>>> volmask.inputs.right_ribbonlabel = 42
>>> volmask.inputs.lh_pial = 'lh.pial'
>>> volmask.inputs.rh_pial = 'lh.pial'
>>> volmask.inputs.lh_white = 'lh.pial'
>>> volmask.inputs.rh_white = 'lh.pial'
>>> volmask.inputs.subject_id = '10335'
>>> volmask.inputs.save_ribbon = True
>>> volmask.cmdline
'mris_volmask --label_left_ribbon 3 --label_left_white 2 --label_right_ribbon 42 --label_right_white 41 --save_ribbon 10335'
Inputs:
[Mandatory]
left_ribbonlabel: (an integer (int or long))
Left cortical ribbon label
argument: ``--label_left_ribbon %d``
subject_id: (a string, nipype default value: subject_id)
Subject being processed
argument: ``%s``, position: -1
rh_white: (an existing file name)
Implicit input right white matter surface
right_whitelabel: (an integer (int or long))
Right white matter label
argument: ``--label_right_white %d``
left_whitelabel: (an integer (int or long))
Left white matter label
argument: ``--label_left_white %d``
rh_pial: (an existing file name)
Implicit input right pial surface
lh_white: (an existing file name)
Implicit input left white matter surface
right_ribbonlabel: (an integer (int or long))
Right cortical ribbon label
argument: ``--label_right_ribbon %d``
lh_pial: (an existing file name)
Implicit input left pial surface
[Optional]
in_aseg: (an existing file name)
Input aseg file for VolumeMask
argument: ``--aseg_name %s``
mutually_exclusive: aseg
subjects_dir: (an existing directory name)
subjects directory
copy_inputs: (a boolean)
If running as a node, set this to True.This will copy the implicit
input files to the node directory.
aseg: (an existing file name)
Implicit aseg.mgz segmentation. Specify a different aseg by using
the 'in_aseg' input.
mutually_exclusive: in_aseg
save_ribbon: (a boolean)
option to save just the ribbon for the hemispheres in the format
?h.ribbon.mgz
argument: ``--save_ribbon``
args: (a unicode string)
Additional parameters to the command
argument: ``%s``
environ: (a dictionary with keys which are a bytes or None or a value
of class 'str' and with values which are a bytes or None or a
value of class 'str', nipype default value: {})
Environment variables
Outputs:
out_ribbon: (a file name)
Output cortical ribbon mask
rh_ribbon: (a file name)
Output right cortical ribbon mask
lh_ribbon: (a file name)
Output left cortical ribbon mask
createoutputdirs()¶
create all output directories. If not created, some freesurfer interfaces fail