@@ -110,58 +110,63 @@ class ReorientOutputSpec(TraitedSpec):
110110class Reorient (SimpleInterface ):
111111 """Conform an image to a given orientation
112112
113- Flips and reorder the image data array so that the axes match the
114- directions indicated in ``orientation``.
115- The default ``RAS`` orientation corresponds to the first axis being ordered
116- from left to right, the second axis from posterior to anterior, and the
117- third axis from inferior to superior.
113+ Flips and reorder the image data array so that the axes match the
114+ directions indicated in ``orientation``.
115+ The default ``RAS`` orientation corresponds to the first axis being ordered
116+ from left to right, the second axis from posterior to anterior, and the
117+ third axis from inferior to superior.
118118
119- For oblique images, the original orientation is considered to be the
120- closest plumb orientation.
119+ For oblique images, the original orientation is considered to be the
120+ closest plumb orientation.
121121
122- No resampling is performed, and thus the output image is not de-obliqued
123- or registered to any other image or template.
122+ No resampling is performed, and thus the output image is not de-obliqued
123+ or registered to any other image or template.
124124
125- The effective transform is calculated from the original affine matrix to
126- the reoriented affine matrix.
125+ The effective transform is calculated from the original affine matrix to
126+ the reoriented affine matrix.
127127
128- Examples
129- --------
128+ Examples
129+ --------
130130
131- If an image is not reoriented, the original file is not modified
131+ If an image is not reoriented, the original file is not modified
132132
133- >>> import numpy as np
134- >>> from nipype.interfaces.image import Reorient
135- >>> reorient = Reorient(orientation='LPS')
136- >>> reorient.inputs.in_file = 'segmentation0.nii.gz'
137- >>> res = reorient.run()
138- >>> res.outputs.out_file
139- 'segmentation0.nii.gz'
133+ .. testsetup::
140134
141- >>> print(np.loadtxt(res.outputs.transform))
142- [[1. 0. 0. 0.]
143- [0. 1. 0. 0.]
144- [0. 0. 1. 0.]
145- [0. 0. 0. 1.]]
135+ >>> def print_affine(matrix):
136+ ... print(str(matrix).replace(']', ' ').replace('[', ' '))
146137
147- >>> reorient.inputs.orientation = 'RAS'
148- >>> res = reorient.run()
149- >>> res.outputs.out_file # doctest: +ELLIPSIS
150- '.../segmentation0_ras.nii.gz'
138+ >>> import numpy as np
139+ >>> from nipype.interfaces.image import Reorient
140+ >>> reorient = Reorient(orientation='LPS')
141+ >>> reorient.inputs.in_file = 'segmentation0.nii.gz'
142+ >>> res = reorient.run()
143+ >>> res.outputs.out_file
144+ 'segmentation0.nii.gz'
151145
152- >>> print (np.loadtxt(res.outputs.transform))
153- [[- 1. 0. 0. 60.]
154- [ 0. - 1. 0. 72.]
155- [ 0. 0. 1. 0.]
156- [ 0. 0. 0. 1.]]
146+ >>> print_affine (np.loadtxt(res.outputs.transform))
147+ 1. 0. 0. 0.
148+ 0. 1. 0. 0.
149+ 0. 0. 1. 0.
150+ 0. 0. 0. 1.
157151
158- .. testcleanup::
152+ >>> reorient.inputs.orientation = 'RAS'
153+ >>> res = reorient.run()
154+ >>> res.outputs.out_file # doctest: +ELLIPSIS
155+ '.../segmentation0_ras.nii.gz'
159156
160- >>> import os
161- >>> os.unlink(res.outputs.out_file)
162- >>> os.unlink(res.outputs.transform)
157+ >>> print_affine(np.loadtxt(res.outputs.transform))
158+ -1. 0. 0. 60.
159+ 0. -1. 0. 72.
160+ 0. 0. 1. 0.
161+ 0. 0. 0. 1.
163162
164- """
163+ .. testcleanup::
164+
165+ >>> import os
166+ >>> os.unlink(res.outputs.out_file)
167+ >>> os.unlink(res.outputs.transform)
168+
169+ """
165170 input_spec = ReorientInputSpec
166171 output_spec = ReorientOutputSpec
167172
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