nipype.interfaces.ants.utils module

ANTS Apply Transforms interface

AffineInitializer

Link to code

Bases: ANTSCommand

Wrapped executable: antsAffineInitializer.

Initialize an affine transform (as in antsBrainExtraction.sh)

>>> from nipype.interfaces.ants import AffineInitializer
>>> init = AffineInitializer()
>>> init.inputs.fixed_image = 'fixed1.nii'
>>> init.inputs.moving_image = 'moving1.nii'
>>> init.cmdline
'antsAffineInitializer 3 fixed1.nii moving1.nii transform.mat 15.000000 0.100000 0 10'
Mandatory Inputs
  • fixed_image (a pathlike object or string representing an existing file) – Reference image. Maps to a command-line argument: %s (position: 1).

  • moving_image (a pathlike object or string representing an existing file) – Moving image. Maps to a command-line argument: %s (position: 2).

Optional Inputs
  • args (a string) – Additional parameters to the command. Maps to a command-line argument: %s.

  • dimension (3 or 2) – Dimension. Maps to a command-line argument: %s (position: 0). (Nipype default value: 3)

  • 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: {})

  • local_search (an integer) – determines if a local optimization is run at each search point for the set number of iterations. Maps to a command-line argument: %d (position: 7). (Nipype default value: 10)

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

  • out_file (a pathlike object or string representing a file) – Output transform file. Maps to a command-line argument: %s (position: 3). (Nipype default value: transform.mat)

  • principal_axes (a boolean) – Whether the rotation is searched around an initial principal axis alignment. Maps to a command-line argument: %d (position: 6). (Nipype default value: False)

  • radian_fraction (0.0 <= a floating point number <= 1.0) – Search this arc +/- principal axes. Maps to a command-line argument: %f (position: 5). (Nipype default value: 0.1)

  • search_factor (a float) – Increments (degrees) for affine search. Maps to a command-line argument: %f (position: 4). (Nipype default value: 15.0)

Outputs

out_file (a pathlike object or string representing a file) – Output transform file.

AverageAffineTransform

Link to code

Bases: ANTSCommand

Wrapped executable: AverageAffineTransform.

Examples

>>> from nipype.interfaces.ants import AverageAffineTransform
>>> avg = AverageAffineTransform()
>>> avg.inputs.dimension = 3
>>> avg.inputs.transforms = ['trans.mat', 'func_to_struct.mat']
>>> avg.inputs.output_affine_transform = 'MYtemplatewarp.mat'
>>> avg.cmdline
'AverageAffineTransform 3 MYtemplatewarp.mat trans.mat func_to_struct.mat'
Mandatory Inputs
  • dimension (3 or 2) – Image dimension (2 or 3). Maps to a command-line argument: %d (position: 0).

  • output_affine_transform (a pathlike object or string representing a file) – Outputfname.txt: the name of the resulting transform. Maps to a command-line argument: %s (position: 1).

  • transforms (a list of items which are a pathlike object or string representing an existing file) – Transforms to average. Maps to a command-line argument: %s (position: 3).

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: {})

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

Outputs

affine_transform (a pathlike object or string representing an existing file) – Average transform file.

AverageImages

Link to code

Bases: ANTSCommand

Wrapped executable: AverageImages.

Examples

>>> from nipype.interfaces.ants import AverageImages
>>> avg = AverageImages()
>>> avg.inputs.dimension = 3
>>> avg.inputs.output_average_image = "average.nii.gz"
>>> avg.inputs.normalize = True
>>> avg.inputs.images = ['rc1s1.nii', 'rc1s1.nii']
>>> avg.cmdline
'AverageImages 3 average.nii.gz 1 rc1s1.nii rc1s1.nii'
Mandatory Inputs
  • dimension (3 or 2) – Image dimension (2 or 3). Maps to a command-line argument: %d (position: 0).

  • images (a list of items which are a pathlike object or string representing an existing file) – Image to apply transformation to (generally a coregistered functional). Maps to a command-line argument: %s (position: 3).

  • normalize (a boolean) – Normalize: if true, the 2nd image is divided by its mean. This will select the largest image to average into. Maps to a command-line argument: %d (position: 2).

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: {})

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

  • output_average_image (a pathlike object or string representing a file) – The name of the resulting image. Maps to a command-line argument: %s (position: 1). (Nipype default value: average.nii)

Outputs

output_average_image (a pathlike object or string representing an existing file) – Average image file.

ComposeMultiTransform

Link to code

Bases: ANTSCommand

Wrapped executable: ComposeMultiTransform.

Take a set of transformations and convert them to a single transformation matrix/warpfield.

Examples

>>> from nipype.interfaces.ants import ComposeMultiTransform
>>> compose_transform = ComposeMultiTransform()
>>> compose_transform.inputs.dimension = 3
>>> compose_transform.inputs.transforms = ['struct_to_template.mat', 'func_to_struct.mat']
>>> compose_transform.cmdline
'ComposeMultiTransform 3 struct_to_template_composed.mat struct_to_template.mat func_to_struct.mat'
Mandatory Inputs

transforms (a list of items which are a pathlike object or string representing an existing file) – Transforms to average. Maps to a command-line argument: %s (position: 3).

Optional Inputs
  • args (a string) – Additional parameters to the command. Maps to a command-line argument: %s.

  • dimension (3 or 2) – Image dimension (2 or 3). Maps to a command-line argument: %d (position: 0). (Nipype default value: 3)

  • 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: {})

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

  • output_transform (a pathlike object or string representing a file) – The name of the resulting transform. Maps to a command-line argument: %s (position: 1).

  • reference_image (a pathlike object or string representing a file) – Reference image (only necessary when output is warpfield). Maps to a command-line argument: %s (position: 2).

Outputs

output_transform (a pathlike object or string representing an existing file) – Composed transform file.

CreateJacobianDeterminantImage

Link to code

Bases: ANTSCommand

Wrapped executable: CreateJacobianDeterminantImage.

Examples

>>> from nipype.interfaces.ants import CreateJacobianDeterminantImage
>>> jacobian = CreateJacobianDeterminantImage()
>>> jacobian.inputs.imageDimension = 3
>>> jacobian.inputs.deformationField = 'ants_Warp.nii.gz'
>>> jacobian.inputs.outputImage = 'out_name.nii.gz'
>>> jacobian.cmdline
'CreateJacobianDeterminantImage 3 ants_Warp.nii.gz out_name.nii.gz'
Mandatory Inputs
  • deformationField (a pathlike object or string representing an existing file) – Deformation transformation file. Maps to a command-line argument: %s (position: 1).

  • imageDimension (3 or 2) – Image dimension (2 or 3). Maps to a command-line argument: %d (position: 0).

  • outputImage (a pathlike object or string representing a file) – Output filename. Maps to a command-line argument: %s (position: 2).

Optional Inputs
  • args (a string) – Additional parameters to the command. Maps to a command-line argument: %s.

  • doLogJacobian (0 or 1) – Return the log jacobian. Maps to a command-line argument: %d (position: 3).

  • 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: {})

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

  • useGeometric (0 or 1) – Return the geometric jacobian. Maps to a command-line argument: %d (position: 4).

Outputs

jacobian_image (a pathlike object or string representing an existing file) – Jacobian image.

LabelGeometry

Link to code

Bases: ANTSCommand

Wrapped executable: LabelGeometryMeasures.

Extracts geometry measures using a label file and an optional image file

Examples

>>> from nipype.interfaces.ants import LabelGeometry
>>> label_extract = LabelGeometry()
>>> label_extract.inputs.dimension = 3
>>> label_extract.inputs.label_image = 'atlas.nii.gz'
>>> label_extract.cmdline
'LabelGeometryMeasures 3 atlas.nii.gz [] atlas.csv'
>>> label_extract.inputs.intensity_image = 'ants_Warp.nii.gz'
>>> label_extract.cmdline
'LabelGeometryMeasures 3 atlas.nii.gz ants_Warp.nii.gz atlas.csv'
Mandatory Inputs
  • intensity_image (a pathlike object or string representing an existing file) – Intensity image to extract values from. This is an optional input. Maps to a command-line argument: %s (position: 2). (Nipype default value: [])

  • label_image (a pathlike object or string representing a file) – Label image to use for extracting geometry measures. Maps to a command-line argument: %s (position: 1).

Optional Inputs
  • args (a string) – Additional parameters to the command. Maps to a command-line argument: %s.

  • dimension (3 or 2) – Image dimension (2 or 3). Maps to a command-line argument: %d (position: 0). (Nipype default value: 3)

  • 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: {})

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

  • output_file (a string) – Name of output file. Maps to a command-line argument: %s (position: 3).

Outputs

output_file (a pathlike object or string representing an existing file) – CSV file of geometry measures.

MultiplyImages

Link to code

Bases: ANTSCommand

Wrapped executable: MultiplyImages.

Examples

>>> from nipype.interfaces.ants import MultiplyImages
>>> test = MultiplyImages()
>>> test.inputs.dimension = 3
>>> test.inputs.first_input = 'moving2.nii'
>>> test.inputs.second_input = 0.25
>>> test.inputs.output_product_image = "out.nii"
>>> test.cmdline
'MultiplyImages 3 moving2.nii 0.25 out.nii'
Mandatory Inputs
  • dimension (3 or 2) – Image dimension (2 or 3). Maps to a command-line argument: %d (position: 0).

  • first_input (a pathlike object or string representing an existing file) – Image 1. Maps to a command-line argument: %s (position: 1).

  • output_product_image (a pathlike object or string representing a file) – Outputfname.nii.gz: the name of the resulting image. Maps to a command-line argument: %s (position: 3).

  • second_input (a pathlike object or string representing an existing file or a float) – Image 2 or multiplication weight. Maps to a command-line argument: %s (position: 2).

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: {})

  • num_threads (an integer) – Number of ITK threads to use. (Nipype default value: 1)

Outputs

output_product_image (a pathlike object or string representing an existing file) – Average image file.