mne.transforms.apply_volume_registration_points#

mne.transforms.apply_volume_registration_points(info, trans, moving, static, reg_affine, sdr_morph=None, verbose=None)[source]#

Apply volume registration.

Uses registration parameters computed by compute_volume_registration().

Parameters:

infomne.Info: The mne.Info object with information about the sensors and methods of measurement.
transstr | dict | instance of Transform: If str, the path to the head<->MRI transform *-trans.fif file produced during coregistration. Can also be 'fsaverage' to use the built-in fsaverage transformation.
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.
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:

infomne.Info: The mne.Info object with information about the sensors and methods of measurement.
trans2instance of Transform: The head->mri (surface RAS) transform for the static image.

Notes

New in v1.4.0.