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# workflows.dmri.camino.diffusion

## `create_camino_dti_pipeline()`

Link to code

Creates a pipeline that does the same diffusion processing as in the ../../users/examples/dmri_camino_dti example script. Given a diffusion-weighted image, b-values, and b-vectors, the workflow will return the tractography computed from diffusion tensors and from PICo probabilistic tractography.

### Example

    >>> import os
    >>> nipype_camino_dti = create_camino_dti_pipeline("nipype_camino_dti")
    >>> nipype_camino_dti.inputs.inputnode.dwi = os.path.abspath('dwi.nii')
    >>> nipype_camino_dti.inputs.inputnode.bvecs = os.path.abspath('bvecs')
    >>> nipype_camino_dti.inputs.inputnode.bvals = os.path.abspath('bvals')
    >>> nipype_camino_dti.run()

Inputs:

    inputnode.dwi
    inputnode.bvecs
    inputnode.bvals

Outputs:

    outputnode.fa
    outputnode.trace
    outputnode.tracts_pico
    outputnode.tracts_dt
    outputnode.tensors

### Graph