mne.gui.coregistration#
- mne.gui.coregistration(tabbed=False, split=True, width=None, inst=None, subject=None, subjects_dir=None, guess_mri_subject=None, height=None, head_opacity=None, head_high_res=None, trans=None, scrollable=True, project_eeg=None, orient_to_surface=True, scale_by_distance=True, mark_inside=True, interaction=None, scale=None, advanced_rendering=None, head_inside=True, verbose=None)[source]#
Coregister an MRI with a subject’s head shape.
The recommended way to use the GUI is through bash with:
$ mne coreg
- Parameters
- tabbedbool
Combine the data source panel and the coregistration panel into a single panel with tabs.
- splitbool
Split the main panels with a movable splitter (good for QT4 but unnecessary for wx backend).
- width
int
|None
Specify the width for window (in logical pixels). Default is None, which uses
MNE_COREG_WINDOW_WIDTH
config value (which defaults to 800).- inst
None
|str
Path to an instance file containing the digitizer data. Compatible for Raw, Epochs, and Evoked files.
- subject
None
|str
Name of the mri subject.
- subjects_dirpath-like |
None
The path to the directory containing the FreeSurfer subjects reconstructions. If
None
, defaults to theSUBJECTS_DIR
environment variable.- guess_mri_subjectbool
When selecting a new head shape file, guess the subject’s name based on the filename and change the MRI subject accordingly (default True).
- height
int
|None
Specify a height for window (in logical pixels). Default is None, which uses
MNE_COREG_WINDOW_WIDTH
config value (which defaults to 400).- head_opacity
float
|None
The opacity of the head surface in the range [0., 1.]. Default is None, which uses
MNE_COREG_HEAD_OPACITY
config value (which defaults to 1.).- head_high_resbool |
None
Use a high resolution head surface. Default is None, which uses
MNE_COREG_HEAD_HIGH_RES
config value (which defaults to True).- trans
str
|None
The transform file to use.
- scrollablebool
Make the coregistration panel vertically scrollable (default True).
- project_eegbool |
None
Deprecated. Use
mne.viz.plot_alignment()
to see projected EEG electrodes.New in version 0.16.
- orient_to_surfacebool |
None
If True (default), orient EEG electrode and head shape points to the head surface.
New in version 0.16.
- scale_by_distancebool |
None
If True (default), scale the digitization points by their distance from the scalp surface.
New in version 0.16.
- mark_insidebool |
None
If True (default), mark points inside the head surface in a different color.
New in version 0.16.
- interaction‘trackball’ | ‘terrain’ |
None
How interactions with the scene via an input device (e.g., mouse or trackpad) modify the camera position. If
'terrain'
, one axis is fixed, enabling “turntable-style” rotations. If'trackball'
, movement along all axes is possible, which provides more freedom of movement, but you may incidentally perform unintentional rotations along some axes. IfNone
, the setting stored in the MNE-Python configuration file is used. Defaults to'terrain'
.New in version 0.16.
Changed in version 1.0: Default interaction mode if
None
and no config setting found changed from'trackball'
to'terrain'
.- scale
float
|None
The scaling for the scene.
New in version 0.16.
- advanced_renderingbool
Use advanced OpenGL rendering techniques (default True). For some renderers (such as MESA software) this can cause rendering bugs.
New in version 0.18.
- head_insidebool
If True (default), add opaque inner scalp head surface to help occlude points behind the head.
New in version 0.23.
- verbosebool |
str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- Returns
- frameinstance of CoregistrationUI
The coregistration frame.
Notes
Many parameters (e.g.,
head_opacity
) take None as a parameter, which means that the default will be read from the MNE-Python configuration file (which gets saved when exiting).Step by step instructions for the coregistrations can be accessed as slides, for subjects with structural MRI and for subjects for which no MRI is available.
Examples using mne.gui.coregistration
#
Source alignment and coordinate frames
Head model and forward computation