workflows.dmri.mrtrix.diffusion¶
create_mrtrix_dti_pipeline()
¶
Creates a pipeline that does the same diffusion processing as in the dMRI: DTI - MRtrix, FSL example script. Given a diffusion-weighted image, b-values, and b-vectors, the workflow will return the tractography computed from spherical deconvolution and probabilistic streamline tractography
Example¶
>>> dti = create_mrtrix_dti_pipeline("mrtrix_dti")
>>> dti.inputs.inputnode.dwi = 'data.nii'
>>> dti.inputs.inputnode.bvals = 'bvals'
>>> dti.inputs.inputnode.bvecs = 'bvecs'
>>> dti.run()
Inputs:
inputnode.dwi
inputnode.bvecs
inputnode.bvals
Outputs:
outputnode.fa
outputnode.tdi
outputnode.tracts_tck
outputnode.tracts_trk
outputnode.csdeconv