Hi Chris,
Doug, please correct me if I'm wrong, but the original gm/wm
segmentation contained in aseg.mgz is based on the 3D volume-based
tissue segmentation. This original segmentation then forms the basis
for all subsequent additional segmentations of either GM or WM in the 3D
volume. That is, aparc+aseg.mgz and wmparc.mgz make "use" of the
surface based parcellation, but only to decide the most appropriate
label to assign to GM/WM as defined in the already existing volume-based
segmentation that is contained in aseg.mgz.
Thus, since the GM/WM in aparc+aseg.mgz and wmparc.mgz is still based on
the 3D volume segmentation, there is no apriori reason that their
spatial extent will correspond precisely to the more accurate gray and
white mattes surfaces that come out of the surface-based processing
stream. (Although certainly we would hope that the discrepancies don't
become too large).
cheers,
Mike H.
On Thu, 2008-07-17 at 12:00 -0500, bell0368@umn.edu wrote:
I have sent two images created with the following commands.
tkmedit $subjid brainmask.mgz lh.white -aux T1.mgz -aux-surface rh.white
-segmentation (aparc+aseg.mgz and wmparc.mgz)
$FREESURFER_HOME/FreesurferColorLUT.txt
The wm segmenations go through the "main surface" and the "orig surface"
into the gray matter, for example in the rh-supramarginal and
rh-postcentral. From your last response I am unsure as to which pipeline
creates the wm parcellations, the volume-based pipeline (.i.e aseg.mgz) or
the surface-based pipeline (i.e. ribbon.mgz) or some combination of the
two. It seems to me that the gm/wm parcellations are created using the
surface pipeline and then transferred to the closest class-matched voxels
from Left-Cerebral-Cortex and Left-Cerebral-White-Matter aseg
segmentations. I guess the question is how are we getting from the surface
parcellations back to volume space; is there a binary?
In a related vein, the value from aseg.stats "surface-based-volume mm3
lh-cerebral-white-matter" seems to be created with mri_segstats or is it
from mris_wm_volume? Thanks for all your help!
Chris Bell
On Jul 17 2008, Doug Greve wrote:
When the volume is created, a decision has to be made at each voxel as
to what to classify it as. This is used when the aseg.mgz and
ribbon.mgz are created. aparc+aseg.mgz inherit these decisions from
these files. When using mri_segstats with --pv, it will take the
volume of a 1mm3 voxel and divide it up so that it can contribute to
more than one region. But there's not a way to put the partial volume
information into the segmentation itself. Not sure why that do not
appear alingned, but we've been recently looking into this for other
reasons. Can you send a pic.?
doug
On Wed, 16 Jul 2008, bell0368@umn.edu wrote:
I was wondering how the calculations of the wm volume were performed as
well. The six values below are volume values from aseg I believe. I
assume mris_wm_volume does more than sub-divide these regions into the
wm parcellations, but probably also includes partial volume estimations
along the wm/gm surface, is this correct? I basically have the same
question for the gm volume values in aparc.stats; do they include
partial volume calculations from the gm/pial and gm/white borders? Which
binary is used to create these values for gm in aparc.stats... is it
mri_segstats (with --pv)? I was assuming it would be an mris (surface)
calculation as well. I am asking because if you use tkmedit to view the
?h.surface files and load the aparc+aseg or wmparc segmentation volumes
in also, the surfaces and the segmentations don't seem to line up. Is
there a way to create a segmentation volume that includes
partial-volumed voxels at the gray/white and gray/pial boundries? Thanks
for your help.
Chris Bell
the interior voxels are only included in the volume if they are one of
the following in the aseg.mgz:
case Left_Cerebral_Cortex:
case Right_Cerebral_Cortex:
case Left_Cerebral_White_Matter:
case Right_Cerebral_White_Matter:
case Left_WM_hypointensities:
case Right_WM_hypointensities:
cheers,
Bruce
On Tue, 15 Jul 2008, Marin Richardson wrote:
OK, so aparc.stats is better for cortical gray matter. I want to look
at the
parcellated white matter volumes as well - is the only/best option to
use the
wm volumes from wmparc.stats?
Also, when using mris_wm_volume to calculate total white matter, I
saw the
result defined as the volume within the white matter surface minus
non-WM
structures? Can you tell me which regions are and are not included?
Marin
Doug Greve <[EMAIL PROTECTED]> 7/15/2008 12:02 PM >>>
It is better to use the aparc as it is derived from surface
measurements, which have sub-voxel resolution. The wmparc.stats are
generated by counting 1mm^3 voxels.
doug
Marin Richardson wrote:
Hi all,
I noticed that the gray volumes for parcellated cortical regions
in
wmparc.stats are different from those for the same region in
aparc.stats (e.g.
ctx-lh-middletemporal = 8419 in wmparc.stats, middletemporal =
9466 in
lh.aparc.stats). Why are the values different and which one is a
better
measure to use?
Thanks,
Marin
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