Merge pull request #1032 from mick-d/dtifit_fsl

Update fsl dtifit wrapper to include option for gradient non-linearities

Author: oesteban

CHANGES

@@ -1,6 +1,7 @@
 Next release
 ============
 
+* ENH: Updated FSL dtifit to include option for grad non-linearities (https://github.com/nipy/nipype/pull/1032)
 * ENH: Updated Camino tracking interfaces, which can now use FSL bedpostx output.
        New options also include choice of tracker, interpolator, stepsize and 
        curveinterval for angle threshold (https://github.com/nipy/nipype/pull/1029)

nipype/interfaces/fsl/dti.py

@@ -49,7 +49,8 @@ class DTIFitInputSpec(FSLCommandInputSpec):
     cni = File(exists=True, desc='input counfound regressors', argstr='--cni=%s')
     little_bit = traits.Bool(desc='only process small area of brain',
                              argstr='--littlebit')
-
+    gradnonlin = File(exists=True, argstr='--gradnonlin=%s',
+                      desc='gradient non linearities')
 
 class DTIFitOutputSpec(TraitedSpec):
     V1 = File(exists=True, desc='path/name of file with the 1st eigenvector')

nipype/interfaces/fsl/tests/test_auto_DTIFit.py

@@ -26,6 +26,8 @@ def test_DTIFit_inputs():
     environ=dict(nohash=True,
     usedefault=True,
     ),
+    gradnonlin=dict(argstr='--gradnonlin=%s',
+    ),
     ignore_exception=dict(nohash=True,
     usedefault=True,
     ),