Home · Quickstart · User Guide and Examples · Interfaces Index · Developers · About · Nipy

# nipype.interfaces.mrtrix.convert module

## MRTrix2TrackVis

Link to code

> Bases: DipyBaseInterface

> Converts MRtrix (.tck) tract files into TrackVis (.trk) format using functions from dipy .. rubric:: Example

>     >>> import nipype.interfaces.mrtrix as mrt
>     >>> tck2trk = mrt.MRTrix2TrackVis()
>     >>> tck2trk.inputs.in_file = 'dwi_CSD_tracked.tck'
>     >>> tck2trk.inputs.image_file = 'diffusion.nii'
>     >>> tck2trk.run()

> in_filea pathlike object or string representing an existing file

>   The input file for the tracks in MRTrix (.tck) format.

> image_filea pathlike object or string representing an existing file

>   The image the tracks were generated from.

> matrix_filea pathlike object or string representing an existing file

>   A transformation matrix to apply to the tracts after they have been generated (from FLIRT - affine transformation from image_file to registration_image_file).

> out_filenamea pathlike object or string representing a file

>   The output filename for the tracks in TrackVis (.trk) format. (Nipype default value: `converted.trk`)

> registration_image_filea pathlike object or string representing an existing file

>   The final image the tracks should be registered to.

> out_file : a pathlike object or string representing an existing file

nipype.interfaces.mrtrix.convert.get_data_dims(volume)

nipype.interfaces.mrtrix.convert.get_vox_dims(volume)

nipype.interfaces.mrtrix.convert.read_mrtrix_header(in_file)

nipype.interfaces.mrtrix.convert.read_mrtrix_streamlines(in_file, header, as_generator=True)

nipype.interfaces.mrtrix.convert.read_mrtrix_tracks(in_file, as_generator=True)

nipype.interfaces.mrtrix.convert.transform_to_affine(streams, header, affine)