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import numpy as np
from numpy.testing import assert_array_equal
from torchio.transforms import ToCanonical
from ...utils import TorchioTestCase
class TestToCanonical(TorchioTestCase):
"""Tests for :py:class:`ToCanonical` class."""
def test_no_changes(self):
transform = ToCanonical()
transformed = transform(self.sample)
assert_array_equal(transformed.t1.data, self.sample.t1.data)
assert_array_equal(transformed.t1.affine, self.sample.t1.affine)
def test_LAS_to_RAS(self):
self.sample.t1.affine[0, 0] = -1 # Change orientation to 'LAS'
self.assertEqual(transformed.t1.orientation, ('R', 'A', 'S'))
assert_array_equal(
transformed.t1.data,
self.sample.t1.data.numpy()[:, ::-1, :, :]
)
fixture = np.eye(4)
fixture[0, -1] = -self.sample.t1.spatial_shape[0] + 1
assert_array_equal(transformed.t1.affine, fixture)
fepegar /
torchio
