rigid_transform_image
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the Habitat Guide and Python API guide (v2.0) for usage.
- rigid_transform_image(image: sitk.Image, shift_voxels: Sequence[float], angle_degrees: float, axis: str = 'z', interpolator: str = 'bspline', default_value: float = 0.0) sitk.Image[source]
Translate then rotate in ONE resample (MIRP ≥ 2 affine composition).
Prior et al. 2024 used MIRP 1.2.0, which applied translation and rotation as two successive interpolations. Composing them avoids a second B-spline pass. Content mapping is translate-then-rotate about the image centre, matching HABIT’s default chain order.
- Parameters:
image – Source image.
shift_voxels – Translation in VOXEL units, SimpleITK
(x, y, z).angle_degrees – Rotation angle in degrees (paper default 0.5).
axis – Axis to rotate around:
"x","y"or"z".interpolator –
"bspline"(paper default),"linear"or"nearest"(required for label masks).default_value – Intensity for voxels mapped outside the source.
- Returns:
The rigidly perturbed image on
image’s grid.- Raises:
ValueError – If
shift_voxelsis not length 3 oraxisis unknown.