Current versions of the Mac freesurfer binaries are not compatible with
the v5.3 release. Too much has changed since then. If you wanted to use
the newest version on the code you will need to download the latest dev
version of freesurfer from this page (see "Development Version"):
https://surfe
There was an obscure error having to do with the ascii header when
unpacking skyra data on the mac, that might be it. Zeke, can you get
Ismail a version of mri_convert appropriate for his OS?
doug
On 7/20/16 10:34 AM, Koubiyr, Ismail wrote:
Hi Doug,
I tried it on the cluster and it worked,
Hi List,
I am getting a couple of strange error when running a 3-group F-test.
WARNING: unrecognized mri_glmfit cmd option mri_glmfit.bin
WARNING: 251446 NaNs found in volume
analysis/Ftest/cache.th20.pos.sig.cluster.mgh...
And as a result, I consistently get huge clusters:
# ClusterNo Max
Hi Bruce,
I tried "mri_tessellate Brain_FS.mgz 255 lh_test.orig.nofix” command to
generate a surface, but received an error message as below:
changing type of input volume to 8 bits/voxel...
$Id: mri_tessellate.c,v 1.36 2011/03/02 00:04:25 nicks Exp $
$Id: mrisurf.c,v 1.693.2.7 2013/05/12 22:28
If you have a segmented volume, you can use mri_tessellate to create the
surface, then introduce the cut(s) and run mris_flatten -1 on the resulting
patch. You can check out our wiki
http://surfer.nmr.mgh.harvard.edu/fswiki
which has info on this process, although the flattening isn't terribly
Hi Bruce,
Great! I’m not an expert in FreeSurfer, so can you give me some advice how
to generate a surface of our volumetric data and flatten it?
Thanks,
Younghoon Kim
--
Younghoon Kim,
Dep. of Bio and Brain Engineering, KAIST
OMICS Lab
Wellman Center, Massachusetts General Hospital
Bouma’s Lab
HI Younghoon
I guess that could work. You will need to introduce at least one cut if not
more if you surface has substantial Gaussian curvature
cheers
Bruce
On Wed,
20 Jul 2016, Younghoon Kim wrote:
Hi Bruce,
We are only interested in the surface image of the volumetric data.
For flatt
Hi Bruce,
We are only interested in the surface image of the volumetric data.
For flattening, we do not care about the interior of the volume, so we
would like to remove the volume data inside.
So what we want is to peel off the surface from the segmented brain area
and flatten that surface.
Th
Hi Fred
that just means that you need to change the window levels.
Note that we have deprecated the use of tksurfer and tkmedit and don't
really support them any longer
cheers
Bruce
On Wed, 20 Jul
2016, Uquillas, Federico D'Oleire wrote:
> Hi fellow FreeSurfer users,
>
> I just did a gcut pro
Hi Younghoon
what structure are you talking about? In general it doesn't make sense to
flatten volumetric structures. We flatten the cortex, which is a folded
2D sheet. What would you do with the interior of the volume?
cheers
Bruce
On Wed, 20 Jul
2016, Younghoon Kim wrote:
Hello,
We hav
Hello,
We have a volumetric data (mgz file) of a segmented brain region. We want
to detect the surface of this segmented brain volume (i.e. deep brain
region) and flatten it into a 2D image with its original surface texture.
We’ve noticed that Freesurfer supports an algorithm to flatten volumetri
Hi Doug,
Thanks for getting back to me. I've tried mri_convert $Input_file --split
$Output_file to split up the fieldmaps but I'm getting 6 to 12 different
outputs (depending on the fieldmap) rather than just the mag and phase files
which is what I was expecting.
Have you encountered this be
Hi Anastasia,
I was wondering what the resolution to this thread was:
http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg42734.html
It sounds like a new version of dmri_paths was deemed necessary to appropriately process single time points in the longitudinal T
Hi Martin,
We run all cross, base and long with 5.3. I guess the problem maybe we run
cross on a computer and then copy the results to another computer to run
the cross and long. the "*fsaverage" is not copied. Does this matter?*
Best,
Jinsong
On Wed, Jul 20, 2016 at 12:21 AM, Martin Reuter w
Hi Dorsa
I don't see any holes in the thalamus in your aseg, nor separated pieces.
What voxel coords do you mean? Remember to look at the data in other
orientations. Things that look like islands in one view may be peninsulas
in anothers
cheers
Bruce
On Wed, 20 Jul 2016, Dorsa Haji Ghaffar
Dear colleagues,
The Penn Frontotemporal Degeneration Center at the University of
Pennsylvania (http://ftd.med.upenn.edu/) is seeking a research coordinator
for the multi-site FTD Connectome study. Please see the details below;
applications should be directed to http://jobs.hr.upenn.edu/postings/1
I mean the holes in the thalamus and also some parts that are labeled as
thalamus but not attached to the rest of thalamus volume.
On Wed, Jul 20, 2016 at 10:49 AM, Bruce Fischl
wrote:
> what missing parts do you mean? The segmentation seemed pretty reasonable,
> but the contrast wasn't good eno
what missing parts do you mean? The segmentation seemed pretty
reasonable, but the contrast wasn't good enough to say how accurate it
was in some places
On Wed, 20 Jul 2016, Dorsa Haji Ghaffari wrote:
Yes it is taken at 3T. I have asked our team to provide these information about
the
MRIs and
Yes it is taken at 3T. I have asked our team to provide these information
about the MRIs and will let you know when I hear back. I also wanted to ask
if you know a good way to refine the thalamus and fill out the missing
parts within the volume?
Thank you
Dorsa
On Tue, Jul 19, 2016 at 5:10 PM, Br
Dear Martin
to follow-up mu previous question, I was finally able to run the
lme_mass_fit_vw script till the end. Unfortunately, it came out that converge
of the algorithm was failed in 99% of the locations.
I have only one study group (with a variable number of follow-up , and I used
as design
Hi Doug,
I tried it on the cluster and it worked, which is weird because it was not
working before … Any idea what might be the problem on my system ?
Thanks again.
Ismail
On Jul 19, 2016, at 10:32 PM, Douglas Greve
mailto:gr...@nmr.mgh.harvard.edu>> wrote:
I used the same version, but I use
FYI - we're holding the next ExploreDTI Workshop!
When: 28-30 November, 2016
Where: Utrecht
Details: http://www.exploredti.com/workshop
Cheers,
Szabolcs
On Sat, Feb 27, 2016 at 8:00 PM, Szabolcs David
wrote:
> Thrilled to announce that we are going to hold an ExploreDTI workshop in
> Utrecht (J
Hello Renata,
Their was a brief period of time in the Dev version of freesurfer when
certain labels didnt exist in the fsaverage subject. You just happen to
download and install that version. I believe if you download the latest
version from this page (see "Development Version") that error will
Dear FS experts,
We have few dataset of normal patients. They will be arranges as controls.
I am wondering the factors affecting normal patients cortical thickness:
Age,
Sex
Native Language
Hand prefer
IQ
Any others?
thanks
Lawrence
___
Freesurfer maili
Hi Doug,
Thanks for your help!
For your response to question #1 from my previous email(copied below), then if
all PET images were smoothed so that they all have a uniform resolution of 8mm
FWHM, would I put 8 for the psf flag?
> 1)*mri_gtmpvc --i pet.nii.gz --reg template.reg.lta--psf FWHM--
ok thanks a lot for the quick answer.
let me know when it works.
our mri voxel size is 1 mm isotropic.
(if it changes anything, I am working on ubuntu 14.04).
Cheers,
Pierre
On Wed, Jul 20, 2016 at 11:15 AM, Iglesias, Eugenio
wrote:
> Thanks a lot, Pierre.
> I’ll get this sorted out as soon as
Thanks a lot, Pierre.
I’ll get this sorted out as soon as possible. I’m in the process of modifying
the module so it supports data with resolution >1mm, and also incorporating the
longitudinal segmentation method described in
https://doi.org/10.1016/j.neuroimage.2016.07.020
Cheers,
Eugenio
Jua
Hi,
I downloaded the new freesurfer development version and I still have the
same problem when running the hippocampal-subfields
"Invalid MEX-file
'/tmp/MCR_4195017647/.mcrCache8.0/segmen0/autofs/cluster/koen/koen/GEMS-Release/bin/kvlGEMSMatlab.mexa64':
libkvlGEMSCommon.so: cannot open shared obj
Hi Jinsong,
I have never seen this. Stable 5.3 is very stable and I doubt it is a bug. How
did you process base and cross sectionals? Also with 5.3 ?
I would recommend to process cross and base with 5.3, then re-run the long and
see if you can replicate this problem. Let me know what happens.
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