Dear FSers,
Still haven't got to the bottom of this, any suggestions would be much
appreciated, thanks in advance!
Tudor
On 5 July 2013 17:26, Tudor Popescu wrote:
> Hi everyone
>
> The skull-stripping step of recon-all must have gone bad for my sample,
> because I noticed that there are artef
Hi Richard
did you "conform" (resample to 1mm isotropic, 256^3, 8 bits/voxel) your
skull stripped image? That's probably what's causing you problems. You
can do this with mri_convert
cheers
Bruce
On Mon, 8 Jul 2013, Lin, Richard Lee-Tsong
wrote:
Hi Bruce,
Thanks for the advice. The recon
Hi Tudor
the T1.mgz is intensity corrected and conformed (the orig.mgz is just
conformed). Have you read the documentation on fixing skull strip
problems on the wiki?
cheers
Bruce
On Mon, 8 Jul 2013, Tudor Popescu wrote:
> Dear FSers,
>
> Still haven't got to the bottom of this, any suggestio
Hi Bella
it looks like it finished without error, in which case the thickness
values will be stored in "curvature" format in the files
$SUBJECTS_DIR/$subject/surf/[lr]h.thickness
cheers
Bruce
On Sun, 7 Jul 2013, wrote:
> Hi expert,
> When I excuted the recon-all,I got the result that the
Hi all,
I Have MRI scans (T1/T2/Flair) with (manually) segmented tumors and I would
like 2 use Freesurfer to estimate the brain locations of those Tumors.
(I.e. What area of the brain "affected" by these tumors) .. Of
course thisis not for clinical use, but "research" --
Is this task possible w
Hi Dov
sure, run your T1 through recon-all, then use bbregister to register
whatever image(s) were used to manually label the tumor to the
anatomicals and go from there
cheers
Bruce
On Mon, 8 Jul 2013, Dov Sadan wrote:
Hi all,
I Have MRI scans (T1/T2/Flair) with (manually) segmented tumors
Dear Doug and FS experts,
I am trying to use Xhemi tool to study asymmetry in the brain. I have done
the exact procedure you mentioned in WiKi for a group of 40 controls.
1) Is lh.lh-rh.thickness.sm00.mgh the stack of voxel-wise cortical
thickness difference between left and right hemisphere of eac
Hi,
I am new to FreeSurfer and I'm trying to figure out how to view T1
volumes on inflated surfaces in FreeSurfer. Any guidance would be
appreciated!
Thank you!
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Dear Bruce and freesurfers,
Someone has suggested to me that my problem is a result of the poor
resolution of the original MPRAGE data. If I know that my volume index of a
problematic point is (152,91,124), how can I map it onto my original MPRAGE
data and check?
Thank you very much!
Sincerely,
Dear Bruce,
Thank you very much!
Sincerely,
Ye
On Fri, Jul 5, 2013 at 8:59 AM, Bruce Fischl wrote:
> Hi Ye
>
> you can use tcl to script it, or use freeview which I think can save
> slice-flythroughs as a movie.
>
> cheers
> Bruce
>
> On Fri, 5 Jul 2013, ye tian wrote:
>
> Dear Freesurfers,
>
On 07/07/2013 01:36 PM, jh kim wrote:
> Dear FreeSurfer experts...
>
> Please be patient with a newbie's questions.
> For the first time, I'm trying to analyze between-group differences in
> cortical thickness (controls vs. patients) by using FS 5.1.0 and QDEC.
> I've read through the online manu
Dear experts,
Could someone point me to the color key for the output of the longitudinal
analysis as viewed in freebies (as generated by the freesurfer longitudinal
analysis tutorial)?
Thank you,
Sal
Salil Soman, MD, MS
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On 07/06/2013 10:19 PM, Sean Hatton wrote:
> Hi all,
>
> Within QDEC, when I click on the "Find Clusters and Goto Max" button I
> can see the individual thickness values per datapoint.
>
> 1. I am co-vaying for age: would these values be raw thickness values
> or estimated margin means?
Raw thic
Hi Maria, sorry for the delay. Can you tar up your three QDEC output
directories and drop them to us on our filedrop system?
https://gate.nmr.mgh.harvard.edu/filedrop2
thanks
doug
On 07/08/2013 09:48 AM, Maria Kharitonova wrote:
> Hi, sorry I must have missed the response to this a few weeks
Thanks Bruce. I have looked at that part of the wiki but I was wondering
whether the screenshots at all suggest that all artefacts are likely to be
the result of the same problem, and that e.g. re-running recon for all
subjects with a watershed>25 and with the -no-wsgcaatlas flag might be the
thing
would it be possible to use volumes generated from recon-all -s
into the second and third steps of the longitudinal processing workflow?
On Tue, Jul 2, 2013 at 2:24 PM, Martin Reuter
wrote:
> In the meantime you can check how the mri/orig/001.mgz and the
> mri/orig.mgz and mri/orig_nu.mgz look
Hi Catherine, this usually means that something funny is going on with
the contrast matrix. Eg, you made the contrast under windows? If so,
then make it again under linux. If not , then send the contrast file
doug
On 06/24/2013 09:52 AM, Catherine Bois wrote:
> Dear Freesurfer experts, I am cur
Hi Gayane, I don't know whether I answered this or not, but you will
need to add "--surface fsaverage lh" to your command line
doug
On 06/24/2013 12:18 PM, Gayane Aghakhanyan wrote:
> Dear FreeSurfers
>
> I'm using Freesurfer 5.1 on Ubuntu 12.04 LTS.
> Currently running paired analysis as descr
Dear all,
I want to obtain mean intensity value for each segment (GM, WM,
subcortical) from FLAIR images. Now I have processed the MPRAGE image (same
subject) using "recon-all". The next step I figured is to register the
FLAIR image to the MPRAGE and transfer the segmentation of MPRAGE to FLAIR,
a
It should be possible to compute from the FWHM, but I don't know how to
do it off the top of my head. I'll keep it in mind the next time I
update mri_glmfit.
doug
On 06/24/2013 03:05 PM, Glen Lee wrote:
> Hello Freesurfer users,
> I'd hope to know the RESEL number in my group GLM analysis da
Use bbregister. Run it with --help for help and examples
doug
On 07/08/2013 12:49 PM, Xinyang Liu wrote:
> Dear all,
>
> I want to obtain mean intensity value for each segment (GM, WM,
> subcortical) from FLAIR images. Now I have processed the MPRAGE image
> (same subject) using "recon-all". Th
Dear Freesurfers,
When an image cuts through a surface of grey matter (e.g. attached
Freesurfer.png), will freesurfer overestimate cortical thickness? If so,
how do you go about editing the image?
Thank you very much!
Sincerely,
Ye
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hi,
trying to figure out the likelihood of identical subcortical volumes across
individuals. i'm noticing this in some data processed with FreeSurfer 5.1.0.
just to give some probabilities - these are out of about 963 participants.
and there are several such small clusters of identical numbers -
001.mgz -> raw.mgz -> orig.mgz -> nu.mgz -> T1.mgz
If you only have one run, then 001 and raw are the same
orig.mgz is the first conformed volume
doug
On 07/08/2013 12:38 PM, Tudor Popescu wrote:
> Thanks Bruce. I have looked at that part of the wiki but I was
> wondering whether the screens
why do you say it's cutting through gray matter there? From the image it
looks pretty accurate to me
On Mon, 8 Jul 2013, ye tian wrote:
> Dear Freesurfers,
> When an image cuts through a surface of grey matter (e.g. attached
> Freesurfer.png), will freesurfer overestimate cortical
> thickness? I
As I'm having trouble importing nifti files into the first step of the
longitudinal work flow, I'm wondering if I can use volumes generated from
recon-all -s for the second and third steps of the workflow.
jon
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In short, the answer is yes. The 2nd and 3rd steps will take the subject
ID and find the relevant files. But I would expect the first step to take
nifti just fine. Can you send the command you are running?
On Mon, 8 Jul 2013, Jonathan Holt wrote:
> As I'm having trouble importing nifti files in
Allison I'm running the followingrecon-all -all -s -i path/to/nifti attatched is the error recon log I've already gone over this with bruce, martin. It seems as if the 001.mgz, orig.mgz, and orig_nu.mgz all have incorrect orientations. This is coming straight out of the nifti files I've passed and
I see now. If the orientation information is incorrect, this will continue
to be a problem. It sounds like you have access to the dicoms? If so, it's
better to wait and use those.
Allison
On Mon, 8 Jul 2013, Jonathan Holt wrote:
Allison I'm running the following
recon-all -all -s -i path/to
Yes that is done that way. I thought you wanted to rerun the cross sectional
data from scratch. But you can use your existing setup and run base and long on
top of it. But avoid mixing freesurfer versions if posdible.
Best martin
Sent via the Samsung Galaxy S™ III, an AT&T 4G LTE smartphone
Hi Maria, I've tracked down the source of the difference. In 5.0,
mri_glmfit simply takes whatever matrix you give it regardless of how
well or badly conditioned it is. In your case, your matrix is badly
conditioned because the scaling between the columns is very different.
Eg, the 5th column
Hi all,
I see how to apply mri_vol2vol to DTI data from dt_recon, but I'm not clear on
how to do so to DTI data processed in Tracula. The command in the "Multimodal
integration and inter-subject registration" tutorial is:
mri_vol2vol --targ templateid --m3z morph.m3z --noDefM3zPath --reg
a quick update. the following fiddle will show the number of subjects that
have an identical the same Right Amygdala volume. It simply plots a
histogram of the counts per volume (scroll to the bottom of the result
window).
http://fiddle.jshell.net/satra/MXKY6/6/
cheers,
satra
On Mon, Jul 8, 20
Hi Satra
this seems vanishingly unlikely to me, particularly with partial volume
correction. Have you visualize some of the subjects that have the same
structure volume?
Bruce
On Mon, 8 Jul 2013, Satrajit Ghosh wrote:
> a quick update. the following fiddle will show the number of subjects that
hi bruce,
i visualized these two subjects using freeview and nothing looked out of
the ordinary.
$ cat /mindhive/xnat/surfaces/adhd200/3684229/stats/aseg.stats | grep -i amy
13 18 1764 1764.0 Left-Amygdala 64.7514
7.583136.90.54.
28 54
I believe it does, although the integral values are a bit suspicious.
Maybe Doug or Nick knows?
On Mon, 8 Jul 2013, Satrajit Ghosh wrote:
hi bruce,
i visualized these two subjects using freeview and nothing looked out of the
ordinary.
$ cat /mindhive/xnat/surfaces/adhd200/3684229/stats/aseg.st
Hi,
*Am running this command:*
$FREESURFER_HOME/bin/recon-all -i 3DSPGR.nii.gz -s WCA_248_T1Q_FS
-nuintensitycor-3T -nocanorm -openmp 50 -hippo-subfields -use-cuda -all
*And am get this out put / error:*
Testing for CUDA device:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2012 NVID
Dear all,
I am using qdec to do a shape analysis with 16 control variables. I was
wondering if there is a limit on how many covariates can be used in qdec?
Because it seems that I cannot select all my covariates in "nuisance
factors".
Thanks and regards,
Jiyang
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