nipype.interfaces.semtools.filtering.featuredetection module¶
Autogenerated file - DO NOT EDIT If you spot a bug, please report it on the mailing list and/or change the generator.
CannyEdge¶
Bases: SEMLikeCommandLine
Wrapped executable:
CannyEdge.title: Canny Edge Detection
category: Filtering.FeatureDetection
description: Get the distance from a voxel to the nearest voxel of a given tissue type.
version: 0.1.0.(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was written by Hans J. Johnson.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line 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’) – Environment variables. (Nipype default value:
{})inputVolume (a pathlike object or string representing an existing file) – Required: input tissue label image. Maps to a command-line argument:
--inputVolume %s.lowerThreshold (a float) – Threshold is the lowest allowed value in the output image. Its data type is the same as the data type of the output image. Any values below the Threshold level will be replaced with the OutsideValue parameter value, whose default is zero. . Maps to a command-line argument:
--lowerThreshold %f.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.upperThreshold (a float) – Threshold is the lowest allowed value in the output image. Its data type is the same as the data type of the output image. Any values below the Threshold level will be replaced with the OutsideValue parameter value, whose default is zero. . Maps to a command-line argument:
--upperThreshold %f.variance (a float) – Variance and Maximum error are used in the Gaussian smoothing of the input image. See itkDiscreteGaussianImageFilter for information on these parameters. Maps to a command-line argument:
--variance %f.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
CannySegmentationLevelSetImageFilter¶
Bases: SEMLikeCommandLine
Wrapped executable:
CannySegmentationLevelSetImageFilter.title: Canny Level Set Image Filter
category: Filtering.FeatureDetection
description: The CannySegmentationLevelSet is commonly used to refine a manually generated manual mask.
version: 0.3.0
license: CC
contributor: Regina Kim
acknowledgements: This command module was derived from Insight/Examples/Segmentation/CannySegmentationLevelSetImageFilter.cxx (copyright) Insight Software Consortium. See http://wiki.na-mic.org/Wiki/index.php/Slicer3:Execution_Model_Documentation for more detailed descriptions.
- Optional Inputs:
advectionWeight (a float) – Controls the smoothness of the resulting mask, small number are more smooth, large numbers allow more sharp corners. . Maps to a command-line argument:
--advectionWeight %f.args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.cannyThreshold (a float) – Canny Threshold Value. Maps to a command-line argument:
--cannyThreshold %f.cannyVariance (a float) – Canny variance. Maps to a command-line argument:
--cannyVariance %f.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’) – Environment variables. (Nipype default value:
{})initialModel (a pathlike object or string representing an existing file) – Maps to a command-line argument:
--initialModel %s.initialModelIsovalue (a float) – The identification of the input model iso-surface. (for a binary image with 0s and 1s use 0.5) (for a binary image with 0s and 255’s use 127.5). Maps to a command-line argument:
--initialModelIsovalue %f.inputVolume (a pathlike object or string representing an existing file) – Maps to a command-line argument:
--inputVolume %s.maxIterations (an integer) – The. Maps to a command-line argument:
--maxIterations %d.outputSpeedVolume (a boolean or a pathlike object or string representing a file) – Maps to a command-line argument:
--outputSpeedVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputSpeedVolume (a pathlike object or string representing an existing file)
outputVolume (a pathlike object or string representing an existing file)
DilateImage¶
Bases: SEMLikeCommandLine
Wrapped executable:
DilateImage.title: Dilate Image
category: Filtering.FeatureDetection
description: Uses mathematical morphology to dilate the input images.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputMaskVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputMaskVolume %s.inputRadius (an integer) – Required: input neighborhood radius. Maps to a command-line argument:
--inputRadius %d.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
DilateMask¶
Bases: SEMLikeCommandLine
Wrapped executable:
DilateMask.title: Dilate Image
category: Filtering.FeatureDetection
description: Uses mathematical morphology to dilate the input images.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputBinaryVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputBinaryVolume %s.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.lowerThreshold (a float) – Required: lowerThreshold value. Maps to a command-line argument:
--lowerThreshold %f.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.sizeStructuralElement (an integer) – Size of structural element. sizeStructuralElement=1 means that 3x3x3 structuring element for 3D. Maps to a command-line argument:
--sizeStructuralElement %d.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
DistanceMaps¶
Bases: SEMLikeCommandLine
Wrapped executable:
DistanceMaps.title: Mauerer Distance
category: Filtering.FeatureDetection
description: Get the distance from a voxel to the nearest voxel of a given tissue type.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputLabelVolume (a pathlike object or string representing an existing file) – Required: input tissue label image. Maps to a command-line argument:
--inputLabelVolume %s.inputMaskVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputMaskVolume %s.inputTissueLabel (an integer) – Required: input integer value of tissue type used to calculate distance. Maps to a command-line argument:
--inputTissueLabel %d.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
DumpBinaryTrainingVectors¶
Bases: SEMLikeCommandLine
Wrapped executable:
DumpBinaryTrainingVectors.title: Erode Image
category: Filtering.FeatureDetection
description: Uses mathematical morphology to erode the input images.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputHeaderFilename (a pathlike object or string representing an existing file) – Required: input header file name. Maps to a command-line argument:
--inputHeaderFilename %s.inputVectorFilename (a pathlike object or string representing an existing file) – Required: input vector filename. Maps to a command-line argument:
--inputVectorFilename %s.
ErodeImage¶
Bases: SEMLikeCommandLine
Wrapped executable:
ErodeImage.title: Erode Image
category: Filtering.FeatureDetection
description: Uses mathematical morphology to erode the input images.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputMaskVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputMaskVolume %s.inputRadius (an integer) – Required: input neighborhood radius. Maps to a command-line argument:
--inputRadius %d.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
FlippedDifference¶
Bases: SEMLikeCommandLine
Wrapped executable:
FlippedDifference.title: Flip Image
category: Filtering.FeatureDetection
description: Difference between an image and the axially flipped version of that image.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line 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’) – Environment variables. (Nipype default value:
{})inputMaskVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputMaskVolume %s.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
GenerateBrainClippedImage¶
Bases: SEMLikeCommandLine
Wrapped executable:
GenerateBrainClippedImage.title: GenerateBrainClippedImage
category: Filtering.FeatureDetection
description: Automatic FeatureImages using neural networks
version: 1.0
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: Eun Young Kim
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line 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’) – Environment variables. (Nipype default value:
{})inputImg (a pathlike object or string representing an existing file) – Input volume 1, usually t1 image. Maps to a command-line argument:
--inputImg %s.inputMsk (a pathlike object or string representing an existing file) – Input volume 2, usually t2 image. Maps to a command-line argument:
--inputMsk %s.numberOfThreads (an integer) – Explicitly specify the maximum number of threads to use. Maps to a command-line argument:
--numberOfThreads %d.outputFileName (a boolean or a pathlike object or string representing a file) – (required) output file name. Maps to a command-line argument:
--outputFileName %s.- Outputs:
outputFileName (a pathlike object or string representing an existing file) – (required) output file name.
GenerateSummedGradientImage¶
Bases: SEMLikeCommandLine
Wrapped executable:
GenerateSummedGradientImage.title: GenerateSummedGradient
category: Filtering.FeatureDetection
description: Automatic FeatureImages using neural networks
version: 1.0
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: Greg Harris, Eun Young Kim
- Optional Inputs:
MaximumGradient (a boolean) – If set this flag, it will compute maximum gradient between two input volumes instead of sum of it. Maps to a command-line argument:
--MaximumGradient.args (a string) – Additional parameters to the command. Maps to a command-line 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’) – Environment variables. (Nipype default value:
{})inputVolume1 (a pathlike object or string representing an existing file) – Input volume 1, usually t1 image. Maps to a command-line argument:
--inputVolume1 %s.inputVolume2 (a pathlike object or string representing an existing file) – Input volume 2, usually t2 image. Maps to a command-line argument:
--inputVolume2 %s.numberOfThreads (an integer) – Explicitly specify the maximum number of threads to use. Maps to a command-line argument:
--numberOfThreads %d.outputFileName (a boolean or a pathlike object or string representing a file) – (required) output file name. Maps to a command-line argument:
--outputFileName %s.- Outputs:
outputFileName (a pathlike object or string representing an existing file) – (required) output file name.
GenerateTestImage¶
Bases: SEMLikeCommandLine
Wrapped executable:
GenerateTestImage.title: DownSampleImage
category: Filtering.FeatureDetection
description: Down sample image for testing
version: 1.0
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: Eun Young Kim
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line 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’) – Environment variables. (Nipype default value:
{})inputVolume (a pathlike object or string representing an existing file) – Input volume 1, usually t1 image. Maps to a command-line argument:
--inputVolume %s.lowerBoundOfOutputVolume (a float) – Maps to a command-line argument:
--lowerBoundOfOutputVolume %f.outputVolume (a boolean or a pathlike object or string representing a file) – (required) output file name. Maps to a command-line argument:
--outputVolume %s.outputVolumeSize (a float) – Output Volume Size. Maps to a command-line argument:
--outputVolumeSize %f.upperBoundOfOutputVolume (a float) – Maps to a command-line argument:
--upperBoundOfOutputVolume %f.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – (required) output file name.
GradientAnisotropicDiffusionImageFilter¶
Bases: SEMLikeCommandLine
Wrapped executable:
GradientAnisotropicDiffusionImageFilter.title: GradientAnisopropicDiffusionFilter
category: Filtering.FeatureDetection
description: Image Smoothing using Gradient Anisotropic Diffuesion Filer
contributor: This tool was developed by Eun Young Kim by modifying ITK Example
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.conductance (a float) – Conductance for diffusion process. Maps to a command-line argument:
--conductance %f.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’) – Environment variables. (Nipype default value:
{})inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.numberOfIterations (an integer) – Optional value for number of Iterations. Maps to a command-line argument:
--numberOfIterations %d.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.timeStep (a float) – Time step for diffusion process. Maps to a command-line argument:
--timeStep %f.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
HammerAttributeCreator¶
Bases: SEMLikeCommandLine
Wrapped executable:
HammerAttributeCreator.title: HAMMER Feature Vectors
category: Filtering.FeatureDetection
description: Create the feature vectors used by HAMMER.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This was extracted from the Hammer Registration source code, and wrapped up by Hans J. Johnson.
- Optional Inputs:
Scale (an integer) – Determine Scale of Ball. Maps to a command-line argument:
--Scale %d.Strength (a float) – Determine Strength of Edges. Maps to a command-line argument:
--Strength %f.args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputCSFVolume (a pathlike object or string representing an existing file) – Required: input CSF posterior image. Maps to a command-line argument:
--inputCSFVolume %s.inputGMVolume (a pathlike object or string representing an existing file) – Required: input grey matter posterior image. Maps to a command-line argument:
--inputGMVolume %s.inputWMVolume (a pathlike object or string representing an existing file) – Required: input white matter posterior image. Maps to a command-line argument:
--inputWMVolume %s.outputVolumeBase (a string) – Required: output image base name to be appended for each feature vector. Maps to a command-line argument:
--outputVolumeBase %s.
NeighborhoodMean¶
Bases: SEMLikeCommandLine
Wrapped executable:
NeighborhoodMean.title: Neighborhood Mean
category: Filtering.FeatureDetection
description: Calculates the mean, for the given neighborhood size, at each voxel of the T1, T2, and FLAIR.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputMaskVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputMaskVolume %s.inputRadius (an integer) – Required: input neighborhood radius. Maps to a command-line argument:
--inputRadius %d.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
NeighborhoodMedian¶
Bases: SEMLikeCommandLine
Wrapped executable:
NeighborhoodMedian.title: Neighborhood Median
category: Filtering.FeatureDetection
description: Calculates the median, for the given neighborhood size, at each voxel of the input image.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputMaskVolume (a pathlike object or string representing an existing file) – Required: input brain mask image. Maps to a command-line argument:
--inputMaskVolume %s.inputRadius (an integer) – Required: input neighborhood radius. Maps to a command-line argument:
--inputRadius %d.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
STAPLEAnalysis¶
Bases: SEMLikeCommandLine
Wrapped executable:
STAPLEAnalysis.title: Dilate Image
category: Filtering.FeatureDetection
description: Uses mathematical morphology to dilate the input images.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Mark Scully and Jeremy Bockholt.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value:
{})inputDimension (an integer) – Required: input image Dimension 2 or 3. Maps to a command-line argument:
--inputDimension %d.inputLabelVolume (a list of items which are a pathlike object or string representing an existing file) – Required: input label volume. Maps to a command-line argument:
--inputLabelVolume %s....outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
TextureFromNoiseImageFilter¶
Bases: SEMLikeCommandLine
Wrapped executable:
TextureFromNoiseImageFilter.title: TextureFromNoiseImageFilter
category: Filtering.FeatureDetection
description: Calculate the local noise in an image.
version: 0.1.0.$Revision: 1 $(alpha)
documentation-url: http:://www.na-mic.org/
license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt
contributor: This tool was developed by Eunyoung Regina Kim
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line 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’) – Environment variables. (Nipype default value:
{})inputRadius (an integer) – Required: input neighborhood radius. Maps to a command-line argument:
--inputRadius %d.inputVolume (a pathlike object or string representing an existing file) – Required: input image. Maps to a command-line argument:
--inputVolume %s.outputVolume (a boolean or a pathlike object or string representing a file) – Required: output image. Maps to a command-line argument:
--outputVolume %s.- Outputs:
outputVolume (a pathlike object or string representing an existing file) – Required: output image.
TextureMeasureFilter¶
Bases: SEMLikeCommandLine
Wrapped executable:
TextureMeasureFilter.title: Canny Level Set Image Filter
category: Filtering.FeatureDetection
description: The CannySegmentationLevelSet is commonly used to refine a manually generated manual mask.
version: 0.3.0
license: CC
contributor: Regina Kim
acknowledgements: This command module was derived from Insight/Examples/Segmentation/CannySegmentationLevelSetImageFilter.cxx (copyright) Insight Software Consortium. See http://wiki.na-mic.org/Wiki/index.php/Slicer3:Execution_Model_Documentation for more detailed descriptions.
- Optional Inputs:
args (a string) – Additional parameters to the command. Maps to a command-line argument:
%s.distance (an integer) – Maps to a command-line argument:
--distance %d.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’) – Environment variables. (Nipype default value:
{})inputMaskVolume (a pathlike object or string representing an existing file) – Maps to a command-line argument:
--inputMaskVolume %s.inputVolume (a pathlike object or string representing an existing file) – Maps to a command-line argument:
--inputVolume %s.insideROIValue (a float) – Maps to a command-line argument:
--insideROIValue %f.outputFilename (a boolean or a pathlike object or string representing a file) – Maps to a command-line argument:
--outputFilename %s.- Outputs:
outputFilename (a pathlike object or string representing an existing file)