Hello Freesurfer authors,
I have processed a few datasets without realising that the hemispheric orientation was provided incorrectly i.e the labelled left hemisphere is actually the right hemisphere.
Does this mean all the analysis is incorrect and unusable? What should I do to correct for this hemispheric flip?
Thanks in advance,
Mayuresh
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Hi, there,
I have made our own template using 20 subjects follwoing the instruction in FreeSurfer WIKI. (http://surfer.nmr.mgh.harvard.edu/fswiki/SurfaceRegAndTemplates)
I have a quesition now,
Does the quality of the new template depends on the first subject I picked to built the tempalte?
Maybe I do not interpret my question clearly, I think I'd like to ask is:
If we pick different subject to built a template at the fist step of the all procedure, will the output templates have big difference?
If yes, is there a way in FS to pick one subject which is most similar to others, and use it at the first s tep of the build own template procedure?
Thanks a lot!
Guang
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Dear FS experts
I run recon-all -long on 12 subjects (3-4 time points each) and there is a
problem with mri_aparc2aseg. The processor is running, but the the number of
labeling slices does not increase (hangs by 4 slices since hours).
The other time points of this subject as well as the cross-sectional
analysis worked fine.
The .log file shows following:
#@# WMParc Sat Nov 28 02:34:54 CET 2009
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04
\n mri_aparc2aseg --s thomas_sub04_tp3.long.thomas_sub04 --labelwm
--hypo-as-wm --rip-unknown --volmask --o mri/wmparc.mgz --ctxseg
aparc+aseg.mgz \n
reading colortable from annotation file...
colortable with 36 entries read (originally
/autofs/space/amaebi_026/users/buckner_cortical_atlas/scripts/colortable_fin
al.txt)
reading colortable from annotation file...
colortable with 36 entries read (originally
/autofs/space/amaebi_026/users/buckner_cortical_atlas/scripts/colortable_fin
al.txt)
SUBJECTS_DIR /Applications/freesurfer/subjects
subject thomas_sub04_tp3.long.thomas_sub04
outvol mri/wmparc.mgz
useribbon 0
baseoffset 0
labeling wm
labeling hypo-intensities as wm
dmaxctx 5.000000
RipUnknown 1
CtxSeg
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/mri/apa
rc+aseg.mgz
Reading lh white surface
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/surf/l
h.white
Reading lh pial surface
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/surf/l
h.pial
Loading lh annotations from
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/label/l
h.aparc.annot
Reading rh white surface
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/surf/r
h.white
Reading rh pial surface
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/surf/r
h.pial
Loading rh annotations from
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/label/r
h.aparc.annot
Have color table for lh white annotation
Have color table for rh white annotation
Loading ribbon segmentation from
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/mri/rib
bon.mgz
Loading filled from
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/mri/fil
led.mgz
Ripping vertices labeled as unkown
Ripped 6730 vertices from left hemi
Ripped 6931 vertices from right hemi
Building hash of lh white
Building hash of lh pial
Building hash of rh white
Building hash of rh pial
Loading aseg from
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/mri/ase
g.mgz
Loading Ctx Seg File
/Applications/freesurfer/subjects/thomas_sub04_tp3.long.thomas_sub04/mri/apa
rc+aseg.mgz
ASeg Vox2RAS: -----------
-1.000 0.000 0.000 128.000;
0.000 0.000 1.000 -128.000;
0.000 -1.000 0.000 128.000;
0.000 0.000 0.000 1.000;
-------------------------
Labeling Slice
0 1 2 3 4
Any idea? I repeated the analysis several times and always the same problem
occured.
Thanks in advance
Regards
Jürgen
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Division Neuropsychology
Institute of Psychology
University of Zurich
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Hi,
I'm trying to get the surfaces for the colin27 brain that is included
with the mni packages. Has anyone managed to do this before?
I thought I would have an easy time given that this linear average of
27 brains has very good signal to noise and nice contrasts, and even
though recon-all completes without errors, the surfaces are way off.
The main problem appears to be the skull stripping.
My input volume is here:
http://opus.bic.mni.mcgill.ca/public/colin27_t1_tal_lin.mnc.gz
These are the steps I took and where I think the problem might be:
1. gunzip colin27_t1_tal_lin.mnc.gz
2. recon-all -i colin27_t1_tal_lin.mnc -subjid colin27
3. tkmedit conlin27 orig/001.mgz
At this point the image the brightness and contrast levels of the
image look very washed out. I am hoping this is only a display issue
and that the underlying intensities of the image are still intact and
is not a result of something going on in mri_convert, but maybe this
is what is causing the downstream skull strip to fail. Can someone
take a look?
http://opus.bic.mni.mcgill.ca/public/001.mgz
4. recon-all -autorecon1 -subjid colin27
5. tkregister2 --mgz --s colin27 --fstal
Results are not perfect but reasonable ie. about the same as many
other runs I've had that have passed so I don't think it is the
registration.
6. tkmedit colin27 brainmask.mgz -aux T1.mgz
It is clear this is where the problem is.
http://opus.bic.mni.mcgill.ca/public/brainmask.mgzhttp://opus.bic.mni.mcgill.ca/public/T1.mgz
7. I have subsequently tried:
recon-all -skullstrip -wsthresh 10 -clean-bm -no-wsgcaatlas -subjid
colin27 (basically extract the entire head)
recon-all -skullstrip -wsthresh 5 -clean-bm -no-wsgcaatlas -subjid
colin27 (basically extracted the entire head)
recon-all -skullstrip -wsthresh 5 -clean-bm -subjid colin27 (extracted
the brain, but left large chunks of skull)
recon-all -skullstrip -wsthresh 2 -clean-bm -subjid colin27 (extracted
the brain, but left quite a few chunks of skull)
I'm concerned that the -wsthresh is so low in order to get a
reasonable result, that's why I think the intensities might be off
(see step 3).
I'm re-running -autorecon2/3 now to see if the surfaces are better,
but if someone could take a look at my input file and the converted
001.mgz to see if it isn't a problem there it would be much
appreciated.
thanks,
mishkin
Hi, there,
I have 60 subjects which have been FS analyzed without the flag -qcache.
Now, I wan to do group analysis using QDEC.
I need run recon-all -s subjectid -qcache for each of my subjects.
Just want to know how it will take to finish the recon-all -s subjectid -qcache command for
one subject?
Will it go through the whole -autorecon1, 2, 3 process again?
Thanks a lot!
Guang
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