mne.transforms.apply_volume_registration

mne.transforms.apply_volume_registration(moving, static, reg_affine, sdr_morph=None, interpolation='linear', verbose=None)[source]

Apply volume registration.

Uses registration parameters computed by compute_volume_registration().

Parameters
movinginstance of SpatialImage

The image to morph (“from” volume).

staticinstance of SpatialImage

The image to align with (“to” volume).

reg_affinendarray of float, shape (4, 4)

The affine that registers one volume to another.

sdr_morphinstance of dipy.align.DiffeomorphicMap

The class that applies the the symmetric diffeomorphic registration (SDR) morph.

interpolationstr

Interpolation to be used during the interpolation. Can be “linear” (default) or “nearest”.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns
reg_imginstance of SpatialImage

The image after affine (and SDR, if provided) registration.

Notes

New in version 0.24.

Examples using mne.transforms.apply_volume_registration