class_docstr: Specialized interface to StreamlineTrack. This interface is used for
  streamline tracking from diffusion tensor data, and calls the MRtrix
  function 'streamtrack' with the option 'DT_STREAM'
  
  Example
  -------
  
  >>> import nipype.interfaces.mrtrix as mrt
  >>> dtstreamtrack = mrt.DiffusionTensorStreamlineTrack()
  >>> dtstreamtrack.inputs.in_file = 'data.Bfloat'
  >>> dtstreamtrack.inputs.seed_file = 'seed_mask.nii'
  >>> dtstreamtrack.run()                                  # doctest: +SKIP
code: def __init__(self, command=None, **inputs):
      inputs["inputmodel"] = "DT_STREAM"
      return super().__init__(command, **inputs)
  
imports: import os
  import os.path
  from ...utils.filemanip import split_filename
  from ..base import CommandLineInputSpec, CommandLine, traits, TraitedSpec, File, isdefined
label_desc: Use image node_id 1 to create a new DiffusionTensorStreamlineTrack object from inherited base classes: StreamlineTrack with example: obj = DiffusionTensorStreamlineTrack(command)