Patched Nibabel Functions

class nitransforms.patched.LabeledWrapStruct(binaryblock=None, endianness=None, check=True)

nitransforms.patched.shape_zoom_affine(shape, zooms, x_flip=True, y_flip=False)

Get affine implied by given shape and zooms.

We get the translations from the center of the image (implied by shape).

Parameters:

• shape ((N,) array-like) – shape of image data. N is the number of dimensions

• zooms ((N,) array-like) – zooms (voxel sizes) of the image

• x_flip ({True, False}) – whether to flip the X row of the affine. Corresponds to radiological storage on disk.

• y_flip ({False, True}) – whether to flip the Y row of the affine. Corresponds to DICOM storage on disk when x_flip is also True.

Returns:

aff – affine giving correspondance of voxel coordinates to mm coordinates, taking the center of the image as origin

Return type:

(4,4) array

Examples

>>> shape = (3, 5, 7)
>>> zooms = (3, 2, 1)
>>> shape_zoom_affine((3, 5, 7), (3, 2, 1))
array([[-3.,  0.,  0.,  3.],
       [ 0.,  2.,  0., -4.],
       [ 0.,  0.,  1., -3.],
       [ 0.,  0.,  0.,  1.]])
>>> shape_zoom_affine((3, 5, 7), (3, 2, 1), False)
array([[ 3.,  0.,  0., -3.],
       [ 0.,  2.,  0., -4.],
       [ 0.,  0.,  1., -3.],
       [ 0.,  0.,  0.,  1.]])