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,
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 c
You can use mri_binarize, something like
mri_binarize --i sig.mgh --min 3 --o mask.mgh
Note that sig.mgh is a signed quantity. If you want it unsigned, then
use --abs above
doug
Miranka Wirth wrote:
> Dear Freesurfers,
>
> I would to like to generate a binary surface-based mask from the GLM
Dear Freesurfers,
I would to like to generate a binary surface-based mask from the GLM
output file (e.g., sig.mgh) the way that vertices above a certain p
threshold are set to 1 and below this threshold to 0. I believe I can
use this mask in the mri_glmfit procedure?
Thank you for helpful inform
Hi Kiely,
I had a similar experience with one of my subjects, but I realized that
the original diffusion image had a lot of signal loss in various regions
and hence the subsequent registration steps failed.
It can happen when either intra-subject or inter-subject registration
fails. I would inspe
Hi Anastasia,
Sorry for my slow reply. I am working with data that I only have access to
intermittently. We were able to fix the problem by deleting the original
files from the folder and re-running the bedpost step. The old files must
have been interfering in some way.
I am hoping you can help m
Hi Mehul
why not just run the longitudinal stream, then subtract the longitudinal
results? I would probably look at the subtraction of the norm.mgz.
cheers
Bruce
On Tue,
24 Jan 2012, Mehul Sampat wrote:
Hi Folks,We have subjects with high lesion load which changes significantly
over time.
No, that's not needed, otherwise you would be blurring your parcellation
boundaries.
Best,
Martijn
On Tue, Jan 24, 2012 at 6:37 PM, Jeff Stout wrote:
> Hi All,
> I am relatively new to freesurfer. I am trying to extract cortical
> thickness information from the freesurfer data. What is the di
Hi Folks,
We have subjects with high lesion load which changes significantly over
time.
I want to use FS functions to build a pipeline for comparing lesion changes
in two time-points of the same-subject.
I am thinking of using the following steps;
1) Use mri_normalize to normalize the two time-poi
Hi All,I am relatively new to freesurfer. I am trying to extract cortical
thickness information from the freesurfer data. What is the difference (with
thickness options as outputs) between asegstats2table
and mris_anatomical_stats. I see that asegstats2table gives the option for
multiple Sub
Hi Doug,
Many thanks for your help. I have one more questions please. You were telling
me that:
"Given that FA is very non-gaussian, a lot of people prefer to use
permutation". What this means? Do I need to run something different than:
mri_glmfit-sim \
--glmdir Group_Analysis.glmdir \
--gr
Dear Van Leemput & Freesurfers,
I've been working with the GEMS tool for hippocampal subfields segmentation
and have a question I would like to ask you.
I've noticed that the CA1 sector appears to be quite small compared to
other subfields (CA2-3 seems to be the largest), while previous studies
s
Hi everybody,
I am trying to use recon-all with gpu. So I installed the CUDA librairies
successfully (it seems).
I am using freesurfer 5.0, cuda driver 3.2.
Here is the cudadetect output :
Detecting CUDA... There is 1 device supporting CUDA:
Device 0: "D13U"
CUDA Driver Version:
13 matches
Mail list logo