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Copy file name to clipboardExpand all lines: nipype/interfaces/afni/preprocess.py
+52-53Lines changed: 52 additions & 53 deletions
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@@ -284,12 +284,11 @@ class ResampleInputSpec(AFNICommandInputSpec):
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desc="resampling method from set {'NN', 'Li', 'Cu', 'Bk'}. These are for 'Nearest Neighbor', 'Linear', 'Cubic' and 'Blocky' interpolation, respectively. Default is NN.")
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voxel_size=traits.Tuple(*[traits.Float()]*3,
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argstr='-dxyz %f %f %f',
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desc="resample to new dx, dy and dz")
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argstr='-dxyz %f %f %f',
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desc="resample to new dx, dy and dz")
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master=traits.File(argstr='-master %s',
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desc='align dataset grid to a reference file')
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classResample(AFNICommand):
@@ -339,7 +338,7 @@ class AutoTcorrelate(AFNICommand):
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"""Computes the correlation coefficient between the time series of each
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pair of voxels in the input dataset, and stores the output into a
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new anatomical bucket dataset [scaled to shorts to save memory space].
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Examples
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========
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@@ -485,15 +484,15 @@ class AutomaskInputSpec(AFNICommandInputSpec):
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usedefault=True)
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clfrac=traits.Float(desc='sets the clip level fraction'+
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' (must be 0.1-0.9). '+
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'A small value will tend to make the mask larger [default = 0.5].',
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argstr="-dilate %s")
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' (must be 0.1-0.9). '+
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'A small value will tend to make the mask larger [default = 0.5].',
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argstr="-dilate %s")
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dilate=traits.Int(desc='dilate the mask outwards',
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