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fix docstrings
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nipype/interfaces/mrtrix3/preprocess.py

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@@ -95,7 +95,14 @@ class ResponseSDOutputSpec(TraitedSpec):
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class ResponseSD(CommandLine):
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"""
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Performs tractography after selecting the appropriate algorithm
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Generate an appropriate response function from the image data for
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spherical deconvolution.
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.. [1] Tax, C. M.; Jeurissen, B.; Vos, S. B.; Viergever, M. A. and
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Leemans, A., Recursive calibration of the fiber response function
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for spherical deconvolution of diffusion MRI data. NeuroImage,
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2014, 86, 67-80
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Example
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@@ -139,7 +146,8 @@ class ACTPrepareFSLOutputSpec(TraitedSpec):
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class ACTPrepareFSL(CommandLine):
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"""
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Performs tractography after selecting the appropriate algorithm
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Generate anatomical information necessary for Anatomically
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Constrained Tractography (ACT).
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Example
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@@ -159,4 +167,4 @@ class ACTPrepareFSL(CommandLine):
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def _list_outputs(self):
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outputs = self.output_spec().get()
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outputs['out_file'] = op.abspath(self.inputs.out_file)
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return outputs
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return outputs

nipype/interfaces/mrtrix3/tracking.py

Lines changed: 29 additions & 1 deletion
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@@ -118,7 +118,35 @@ class TractographyOutputSpec(TraitedSpec):
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class Tractography(CommandLine):
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"""
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Performs tractography after selecting the appropriate algorithm
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Performs streamlines tractography after selecting the appropriate
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algorithm.
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.. [FACT] Mori, S.; Crain, B. J.; Chacko, V. P. & van Zijl,
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P. C. M. Three-dimensional tracking of axonal projections in the
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brain by magnetic resonance imaging. Annals of Neurology, 1999,
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45, 265-269
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.. [iFOD1] Tournier, J.-D.; Calamante, F. & Connelly, A. MRtrix:
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Diffusion tractography in crossing fiber regions. Int. J. Imaging
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Syst. Technol., 2012, 22, 53-66
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.. [iFOD2] Tournier, J.-D.; Calamante, F. & Connelly, A. Improved
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probabilistic streamlines tractography by 2nd order integration
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over fibre orientation distributions. Proceedings of the
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International Society for Magnetic Resonance in Medicine, 2010, 1670
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.. [Nulldist] Morris, D. M.; Embleton, K. V. & Parker, G. J.
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Probabilistic fibre tracking: Differentiation of connections from
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chance events. NeuroImage, 2008, 42, 1329-1339
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.. [Tensor_Det] Basser, P. J.; Pajevic, S.; Pierpaoli, C.; Duda, J.
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and Aldroubi, A. In vivo fiber tractography using DT-MRI data.
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Magnetic Resonance in Medicine, 2000, 44, 625-632
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.. [Tensor_Prob] Jones, D. Tractography Gone Wild: Probabilistic Fibre
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Tracking Using the Wild Bootstrap With Diffusion Tensor MRI. IEEE
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Transactions on Medical Imaging, 2008, 27, 1268-1274
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Example
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nipype/interfaces/mrtrix3/utils.py

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@@ -42,7 +42,8 @@ class Mesh2PVEOutputSpec(TraitedSpec):
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class Mesh2PVE(CommandLine):
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"""
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Performs tractography after selecting the appropriate algorithm
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Convert a mesh surface to a partial volume estimation image
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Example
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