class_docstr: Performs streamline tracking using spherically deconvolved data
  
  Specialized interface to StreamlineTrack. This interface is used for
  streamline tracking from spherically deconvolved data, and calls
  the MRtrix function 'streamtrack' with the option 'SD_STREAM'
  
  Example
  -------
  
  >>> import nipype.interfaces.mrtrix as mrt
  >>> sdtrack = mrt.SphericallyDeconvolutedStreamlineTrack()
  >>> sdtrack.inputs.in_file = 'data.Bfloat'
  >>> sdtrack.inputs.seed_file = 'seed_mask.nii'
  >>> sdtrack.run()                                          # doctest: +SKIP
code: def __init__(self, command=None, **inputs):
      inputs["inputmodel"] = "SD_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 SphericallyDeconvolutedStreamlineTrack object from inherited base classes: StreamlineTrack with example: obj = SphericallyDeconvolutedStreamlineTrack(command)