Created
February 22, 2022 14:20
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# Minimal script to test the iEEG GUI | |
import os.path as op | |
import numpy as np | |
import nibabel as nib | |
import mne | |
misc_path = mne.datasets.misc.data_path(verbose=True) | |
raw = mne.io.read_raw(op.join(misc_path, 'seeg', 'sample_seeg_ieeg.fif')) | |
subj_trans = mne.coreg.estimate_head_mri_t( | |
'sample_seeg', op.join(misc_path, 'seeg')) | |
reg_affine = np.array([ | |
[0.99270756, -0.03243313, 0.11610254, -133.094156], | |
[0.04374389, 0.99439665, -0.09623816, -97.58320673], | |
[-0.11233068, 0.10061512, 0.98856381, -84.45551601], | |
[0., 0., 0., 1.]]) | |
T1 = nib.load(op.join(misc_path, 'seeg', 'sample_seeg', 'mri', 'T1.mgz')) | |
CT_orig = nib.load(op.join(misc_path, 'seeg', 'sample_seeg_CT.mgz')) | |
CT_aligned = mne.transforms.apply_volume_registration(CT_orig, T1, reg_affine) | |
gui = mne.gui.locate_ieeg(raw.info, subj_trans, CT_aligned, | |
subject='sample_seeg', | |
subjects_dir=op.join(misc_path, 'seeg')) |
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