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from ....data.subject import Subject
from ...spatial_transform import SpatialTransform
from .to_orientation import ToOrientation
class Transpose(SpatialTransform):
"""Swap the first and last spatial dimensions of the image, respecting metadata.
Example:
>>> import torchio as tio
>>> image = tio.datasets.FPG().t1
>>> image
ScalarImage(shape: (1, 256, 256, 176); spacing: (1.00, 1.00, 1.00); orientation: PIR+; path: "/home/fernando/.cache/torchio/fpg/t1.nii.gz")
>>> transpose = tio.Transpose()
>>> transposed = transpose(image)
>>> transposed
"""
def apply_transform(self, subject: Subject) -> Subject:
for image in self.get_images(subject):
transform = ToOrientation(image.orientation_str[::-1])
transposed = transform(image)
image.set_data(transposed.data)
image.affine = transposed.affine
return subject
def is_invertible(self):
return True
def inverse(self):
return self
TorchIO-project /
torchio
