File: plot_read_bem_surfaces.py

package info (click to toggle)
python-mne 0.8.6%2Bdfsg-2
  • links: PTS, VCS
  • area: main
  • in suites: jessie, jessie-kfreebsd
  • size: 87,892 kB
  • ctags: 6,639
  • sloc: python: 54,697; makefile: 165; sh: 15
file content (40 lines) | stat: -rw-r--r-- 1,129 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
"""
============================================
Reading BEM surfaces from a forward solution
============================================
"""
# Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)

print(__doc__)

import mne
from mne.datasets import sample

data_path = sample.data_path()
fname = data_path + '/subjects/sample/bem/sample-5120-5120-5120-bem-sol.fif'

surfaces = mne.read_bem_surfaces(fname, add_geom=True)

print("Number of surfaces : %d" % len(surfaces))

###############################################################################
# Show result
head_col = (0.95, 0.83, 0.83)  # light pink
skull_col = (0.91, 0.89, 0.67)
brain_col = (0.67, 0.89, 0.91)  # light blue
colors = [head_col, skull_col, brain_col]

# 3D source space
try:
    from enthought.mayavi import mlab
except:
    from mayavi import mlab

mlab.figure(size=(600, 600), bgcolor=(0, 0, 0))
for c, surf in zip(colors, surfaces):
    points = surf['rr']
    faces = surf['tris']
    mlab.triangular_mesh(points[:, 0], points[:, 1], points[:, 2], faces,
                         color=c, opacity=0.3)