The output looks correct to me.
The functional gifti file doesn't have the vertex coordinate information. It is
like a surface overlay. It only contains one value for each vertex.
The pial and white surface gifti files have the vertex coordinates and
information about how triangles are formed.
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I am not entirely sure :(
I did see someone else have the same exact issue and it says it was solved
here:
https://secure-web.cisco.com/1CITrHzRp2iUgFdotZPCjYwChbUZqcT7oSVSJaU_8J6xwEILhM4iXHWDVOXatRp-mQR2HIMUXdHX_dTFuyN7peCATDb-h7EBEbZap-khz2O0q7GmIB0
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Dear Freesurfer Experts,
I’m evaluating WMH-SynthSeg for white matter lesion segmentation using the most
recent development version, and ran into similar issues reported last month:
https://secure-web.cisco.com/15YjRoSDCoF2Q2A8SbHg4Jal044A5FQlCGhkswU
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We have seen the (Mac or Linux) OS automatically kill resource greedy
processes, e.g., commands using large model files. Increasing the limit
on physical RAM usage and/or increasing how much data is swapped out to disk
may still not allow the proc
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Hi there,
My question is related to FreeSurfer’s calculations for intracranial volume
(ICV): Given the importance to consider ICV as a potential covariate when
assessing volumetric differences in ROIs between groups, which ICV output is
recommended?
I’m not taking sides on this one, but I’ll nevertheless pinpoint that you can
also get a sbTIV using SynthSeg, hehe.
Looking forward to reading people’s opinions on this one!
--
Juan Eugenio Iglesias
http://www.jeiglesias.com
From: freesurfer-boun...@nmr.mgh.harvard.edu
on behalf of Jackson Le
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Based on my personal experience, if you have T1 and T2 MRIs, use the sbTIV
from samseg, and if you only have T1 MRI, use the TIV value from CAT12.
Next, use the sbTIV from T1 samseg. I recommend not using the eTIV value
for degenerative diseases.
Woo-S