Hi Lucas,
It seems you are looking at the FreeSurferColorLUT.txt. Not all
these labels are in the aseg.mgz file. Try looking at the aseg.stats
file, in the subdirectory stats of each directory of your subjects.
The labels there are the ones in the aseg.mgz, and have friendly
names.
For the segmentation, FS still works voxelwise, but it's objective
is to identify each structure as a whole, whereas SPM and FSL/FAST
attempt to classify each voxel as being GM, WM or CSF.
A short description of the method in FS is here:
http://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferAnalysisPipelineOverview#TheVolume-based.28Subcortical.29Stream
You may want also to have a look at this paper:
http://dx.doi.org/10.1016/S0896-6273(02)00569-X
Hope this helps!
All the best,
Anderson
On 29/08/11 03:38, Lucas Eggert wrote:
Dear Anderson Winkler,
thank you very much for your quick response and your very helpful
comments!
To know if a given structure is gray or white matter you can
look in any reasonable anatomy textbook.
That is ture, of course; however, my problem is rather to match
labels like "LeftmOg" in the aseg.mgz file to anatomical
structures.
In any case, the question itself is somewhat
ill-posed, because some of the subcortical structures have
heterogeneous tissue composition and can't really be labeled
entirely as gray matter, even macroscopically. The most notable
examples are perhaps the thalamus and hippocampus, but the same
applies to other structures too.
That is totally true. Nevertheless, for a comparison between
different segmentation methods, if you would like to compare e. g.
total gray matter volume, it is important to know, which of the
labels should rather be regarded as gray matter and which should
be regarded as something else. But as you mention below, a direct
comparison between different segmentation methods might not be
valid --- Thanks for this important hint!
But then, I am a bit suprised, anyway: I am not familiar with the
method used by FreeSurfer for (sub)cortical segmentation; but
could you, in simple words describe shortly, how FreeSurfer does
the segmentation, if not voxel-vise, that is, how does FreeSurfer
define a whole structure (see your comment below)? That would be
of great help for the upcoming discussion of the results for the
evaluation of different segmentation methods.
Anyway, if you really want to make a hard distinction, you can
call then caudate, putamen, pallidum, amygdala, accumbens,
hippocampus and thalamus as gray matter. The region defined as
ventral diencephalon is very heterogeneous and I would not
classify it either as GM or WM, as it includes mamillary bodies,
tuber cinereum/infundibulum (but not hypophysis), some
hypothalamic nuclei near the lateral and inferior walls of the
3rd ventricle and sometimes fragments of the optic tracts (but
not chiasm, which has its own label). It also includes parts of
the mesencephalon (e.g. part of the cerebral crux, part of the
substantia nigra and rubra).
Importantly, if you are comparing algorithms, you have to be
sure they are reporting the same thing. For instance, it's
fairly common to run SPM or FSL/FAST segmentation, then sum the
GM voxels within a region defined from an atlas. If you do this
for, say, caudate or thalamus, you'll get the volume of what the
algorithm classified as GM within the structure you selected.
FreeSurfer (and, e.g. FSL/FIRST), on the other hand, will
segment and report the volume of the structure as a whole,
including all what it contains. A direct comparison, thus, is
not valid.
With kind regards
Lucas Eggert
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