threeBrain
is an R package that renders
FreeSurfer
or AFNI/SUMA
files in the modern
web browsers. The goal is to provide 3D viewers that are
powerful, interactive,
easy-to-share.
The basic setup of a typical subject folder should look like this:
Project Directory
└─Subject code
├─mri - Atlas, T1 and/or CT image files (*.mgz, transforms, ...)
├─surf - FreeSurfer surface files (pial, sulc, ...)
├─SUMA - (Optional) SUMA standard 141 surfaces (std.141.*)
└─... - Other files
If you are using FreeSurfer
to generate MRI
reconstruction, then you are all set! For AFNI/SUMA
users,
please place your SUMA
folder under subject folder.
If you don’t have any FreeSurfer
folders, you can
download a sample archive from here,
choose N27-complete.zip
, and extract to your download
directory. Once extracted, you will have a N27
subject
folder in the ~/Downloads/
directory. The directory tree
looks exactly the same as described above.
In the following context, I will use ~/Downloads/N27
as
an example
library(threeBrain)
subject_code <- "N27"
subject_path <- "~/Downloads/N27"
brain <- threeBrain(subject_path, subject_code)
print(brain)
#> Subject - N27
#> Transforms:
#>
#> - FreeSurfer TalXFM [from scanner to MNI305]:
#> [,1] [,2] [,3] [,4]
#> [1,] 0.9692 -0.0029 -0.0134 -0.1638
#> [2,] 0.0062 0.9685 0.0492 -2.0717
#> [3,] 0.0145 0.0276 0.9541 0.1361
#> [4,] 0.0000 0.0000 0.0000 1.0000
#>
#> - Torig [Voxel CRS to FreeSurfer origin, vox2ras-tkr]
#> [,1] [,2] [,3] [,4]
#> [1,] -1 0 0 128
#> [2,] 0 0 1 -128
#> [3,] 0 -1 0 128
#> [4,] 0 0 0 1
#>
#> - Norig [Voxel CRS to Scanner center, vox2ras]
#> [,1] [,2] [,3] [,4]
#> [1,] -1 0 0 128.5
#> [2,] 0 0 1 -145.5
#> [3,] 0 -1 0 146.5
#> [4,] 0 0 0 1.0
#>
#> - Scanner center relative to FreeSurfer origin
#> [1] -0.5 17.5 -18.5
#>
#> - FreeSurfer RAS to MNI305, vox2vox-MNI305
#> [,1] [,2] [,3] [,4]
#> [1,] 0.9692 -0.0029 -0.0134 0.12365
#> [2,] 0.0062 0.9685 0.0492 -18.10715
#> [3,] 0.0145 0.0276 0.9541 17.31120
#> [4,] 0.0000 0.0000 0.0000 1.00000
#> Surface information (total count 1)
#> Loading required namespace: rstudioapi
#> pial [ std.141 ]
#> Volume information (total count 1)
#> T1
If this is the first time, it might take a while to import and generate cache files.
By default, the viewers only load the following information. Only the
pial
surfaces are mandatory, other files are optional.
mri/brain.finalsurfs.mgz
mri/transforms/talairach.xfm
pial
(mandatory) and sulc
(optional)
surf/*h.pial
or
SUMA/std.141.*h.pial[.asc|gii]
surf/*h.sulc
or
SUMA/std.141.*h.sulc.1D
aparc+aseg
(optional)
mri/aparc+aseg.mgz
The T1 image is automatically detected if
brain.finalsurfs.mgz
is missing. The following alternatives
are brainmask.mgz
, brainmask.auto.mgz
,
T1.mgz
.
To load more than one surfaces, please specify the surface types when loading the viewer. The available surface types are:
pial
- (default)smoothwm
, white
- (smoothed) white
matterinflated
, sphere
- inflated surfacespial-outer-smoothed
- (‘FreeSurfer’-only) smoothed
surface tightly wrapping the pial surfaceinf_200
- (‘SUMA’-only) inflated pial surfaceThe atlas type can be selected from aparc+aseg
,
aparc.a2009s+aseg
, aparc.DKTatlas+aseg
, or
aseg
. To load a specific atlas, please make sure the
corresponding file exists in mri/
. For example,
mri/aseg.mgz
.
The following example loads pial
and
smoothwm
, with aseg
as atlas. The viewer shows
‘Coronal’ plane, smoothed white matter, ‘Ventricle’, and ‘Cerebellum’
all together in one scene.
brain <- threeBrain(
subject_path, subject_code,
surface_types = c('pial', 'smoothwm'),
atlas_types = 'aseg')
brain$plot(
controllers = list(
"Voxel Type" = "aseg",
"Voxel Label" = "4,5,6,7",
"Surface Type" = "smoothwm",
"Left Opacity" = 0.4,
"Overlay Coronal" = TRUE
),
control_display = FALSE,
camera_pos = c(0, -500, 0)
)