xcp_d.interfaces.nilearn.IndexImage

class xcp_d.interfaces.nilearn.IndexImage(check_import=True, *args, **kwargs)

Select a specific volume from a 4D image.

Mandatory Inputs:

in_file (a pathlike object or string representing an existing file) – A 4D image to index.

Optional Inputs:

• index (an integer) – Volume index to select from in_file. (Nipype default value: 0)

• out_file (a pathlike object or string representing a file) – The name of the indexed file. (Nipype default value: img_3d.nii.gz)

Outputs:

out_file (a pathlike object or string representing an existing file) – Concatenated output file.

__init__(check_import=True, *args, **kwargs)

Subclasses must implement __init__

Methods

__init__([check_import])	Subclasses must implement __init__
aggregate_outputs([runtime, needed_outputs])	Collate expected outputs and apply output traits validation.
help([returnhelp])	Prints class help
load_inputs_from_json(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
run([cwd, ignore_exception])	Execute this interface.
save_inputs_to_json(json_file)	A convenient way to save current inputs to a JSON file.

Attributes

always_run	Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.
can_resume	Defines if the interface can reuse partial results after interruption.
imports
resource_monitor
version	interfaces should implement a version property