Hi Joshua
the labels are surface based and by default are shown on the ?h.white
surface, giving the appearance you noted. You can use mri_label2vol to
sample them into the volume and for example fill the ribbon if you want,
but since each point on the surface has an associate thickness value, we
can always compute things like thickness, surface area, and volume within a
label.
cheers
Bruce
On Tue, 24 Jan 2012,
Joshua Lee wrote:
I'm relatively new to Freesurfer, and have mostly focused of the aseg.mgz
segmentation. However, I am also interested in entorhinal cortex and loaded
the label up in tkmedit. What I noticed was that it seemed each label
essentially noted the border between white and gray matter, but didn't
really cover all the gray matter...this seems to be true in all the labels I
load in tkmedit.
In sum, I don't really know what labels are for, or how they differ from
segmentations (is a segmentation a collection of labels?).
How do I use the entorhinal label, and do the entorhinal-stats actually give
the gray matter thickness despite appearing only as a border in tkmedit. I'm
afraid I'm quite ignorant, and I can't seem to find a direct answer to them
in the wiki.
Thanks,
Joshua
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