[Freesurfer] (no subject)

2015-07-02 Thread Mojdeh Zamyadi
Could someone please tell me how to unsubscribe from this list? I couldn't
find it on the website.
Thanks
On Jul 2, 2015 4:56 AM, Milde, Christopher 
christopher.mi...@zi-mannheim.de wrote:

  Dear Freesurfers,

 I have problems converting .nii.gz files into .mgh files needed e.g. for
 performing ROI analysis.

 I used mri_vol2surf and mri_vol2vol to produce .mgh files either to
 visualize contrast estimates and significance maps on volumes or surfaces

 I think the problem is due to voxel resolution mismatches between source
 and registration files but I don't know how to solve this problem.

 I worked with different registration files: the register.dof6.dat
 (originally outpu from the preproc-sess) as well as register.dat and
 register.lta by running bbregister for the template.nii.gz



 ---
 here is an example command:

 # resample to surface

 mri_vol2surf --mov $sub/bold/EX.sm5.lh/EX/sig.nii.gz --reg
 $sub/bold/register.lta --projfrac 0.5 \
  --interp nearest --hemi lh --o $sub/bold/lh.sig.mgh


 mri_vol2surf --mov $sub/bold/EX.sm5.lh/EX/sig.nii.gz --reg
 $sub/bold/register.lta --projfrac 0.5 \
   --interp nearest --hemi lh --o $sub/bold/lh.sig.mgh
 srcvol = PM_04001/bold/EX.sm5.lh/EX/sig.nii.gz
 srcreg = PM_04001/bold/register.lta
 srcregold = 0
 srcwarp unspecified
 surf = white
 hemi = lh
 ProjFrac = 0.5
 thickness = thickness
 reshape = 0
 interp = nearest
 float2int = round
 GetProjMax = 0
 INFO: float2int code = 0
 Done loading volume
 regio_read_register: loading lta
 reading extra input line subject PM_04001
 reading extra input line fscale 0.15
 WARNING: the voxel resolution in the source volume (1,1,1) differs
  from that listed in the registration file (2.29167,2.29167,2.99)
 Reading surface /home/christopher/subjects/PM_04001/surf/lh.white
 Done reading source surface
 Reading thickness /home/christopher/subjects/PM_04001/surf/lh.thickness
 Done
 Mapping Source Volume onto Source Subject Surface
  1 0.5 0.5 0.5
 using old
 Done mapping volume to surface
 Number of source voxels hit = 5
 Writing to PM_04001/bold/lh.sig.mgh
 Dim: 126553 1 1


 

 Thanks,

 Christopher

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Re: [Freesurfer] major lobes

2013-12-04 Thread Mojdeh Zamyadi
Thanks a lot! it worked :)
-M

On 12/04/2013 11:52 AM, Douglas N Greve wrote:

 mri_annotation2label --subject P2 --hemi lh --ctab new_ColorTable.txt 
 --lobesStrict freeSurfer_Results/P2/label/lh.freeSurfer_lobes.annot 

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Re: [Freesurfer] major lobes

2013-12-03 Thread Mojdeh Zamyadi
Thanks Doug! maybe I'm making this too complicated! What I want is to 
know which label (number) corresponds to each of the main lobes.
Right now my freeSurfer_lobes.nii.gz image has lables in the range of 
0-100's (which is WM if not mistaken), and then labels in the range of 
1000-1035 for the left and 2000-2035 for the right hemisphere with zero 
labels in 1002,1008-1035  2002,2008-2035! (and these labels correspond 
to the GM, correct?!)

I tried --ctab option by running the following command:

mri_annotation2label --subject P2 --hemi lh --ctab new_ColorTable.txt 
--lobesStrict  freeSurfer_Results/P2/label/lh.freeSurfer_lobes.annot

but it's not saving anything! Could you please tell me how to properly 
use this option?

Thanks again,
-Mojdeh

  On 11/29/2013 04:28 PM, Douglas Greve wrote:
 The commands look right and it sounds like you might have the right
 result. What do you mean you are getting a detailed WM + GM
 segmentation? If you just load freeSurfer_lobes.nii.gz into tkmedit, the
 label names will be all messed up because you don't have the proper
 color table, but you should still only get 7 per hemi. To get the proper
 color table, run mri_annotation2label with --ctab, then merge the two
 ctabs you get (lh and rh). You don't need to rerun mri_aparc2aseg
 doug



 On 11/29/13 3:09 PM, Mojdeh Zamyadi wrote:
 Hi all,

 Since I haven't heard back about my question so far, I'm posting it
 again! Sorry about this but I really need your help!

 As mentioned in my previous posts, I'm interested in having the GM
 volumetric lobar masks (frontal, parietal, temporal, occipital, and
 insular) with the final goal of moving them the DTI space to perform
 thalamic parcellation. I've ran the following commands:

 1- a. mri_annotation2label  --subject P2 --hemi lh --lobesStrict
 freeSurfer_Results/P2/label/lh.freeSurfer_lobes.annot
b. mri_annotation2label  --subject P2 --hemi rh --lobesStrict
 freeSurfer_Results/P2/label/rh.freeSurfer_lobes.annot

 2- mri_aparc2aseg --annot freeSurfer_lobes --s P2 --o
 freeSurfer_Results/P2/label/freeSurfer_lobes.nii.gz

 I thought after doing this I'm going to get the 5 or 6 lobar labels, but
 instead I'm getting a detailed WM + GM segmentation. I looked at
 FreeSurferColorLUT.txt and tried to manually combine labels in the
 range of 1000-1035 for the left and 2000-2035 for the right hemisphere
 to get the lobe masks, but after having a closer look I realised that
 labels 1002,1008-1035  2002,2008-2035 are all empty (ie. I only have 7
 labels in each hemisphere)! so, I'm now not sure how to manually combine
 these labels either!

 Could someone PLEASE PLEASE clarify this for me! I would really
 appreciate any help!

 Thanks,
 -Mojdeh




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[Freesurfer] major lobes

2013-11-29 Thread Mojdeh Zamyadi
Hi all,

Since I haven't heard back about my question so far, I'm posting it 
again! Sorry about this but I really need your help!

As mentioned in my previous posts, I'm interested in having the GM 
volumetric lobar masks (frontal, parietal, temporal, occipital, and 
insular) with the final goal of moving them the DTI space to perform 
thalamic parcellation. I've ran the following commands:

1- a. mri_annotation2label  --subject P2 --hemi lh --lobesStrict 
freeSurfer_Results/P2/label/lh.freeSurfer_lobes.annot
 b. mri_annotation2label  --subject P2 --hemi rh --lobesStrict 
freeSurfer_Results/P2/label/rh.freeSurfer_lobes.annot

2- mri_aparc2aseg --annot freeSurfer_lobes --s P2 --o 
freeSurfer_Results/P2/label/freeSurfer_lobes.nii.gz

I thought after doing this I'm going to get the 5 or 6 lobar labels, but 
instead I'm getting a detailed WM + GM segmentation. I looked at 
FreeSurferColorLUT.txt and tried to manually combine labels in the 
range of 1000-1035 for the left and 2000-2035 for the right hemisphere 
to get the lobe masks, but after having a closer look I realised that 
labels 1002,1008-1035  2002,2008-2035 are all empty (ie. I only have 7 
labels in each hemisphere)! so, I'm now not sure how to manually combine 
these labels either!

Could someone PLEASE PLEASE clarify this for me! I would really 
appreciate any help!

Thanks,
-Mojdeh




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Re: [Freesurfer] converting cortical labels into volumetric ROIs

2013-11-26 Thread Mojdeh Zamyadi
Hi all,

I would like to follow up on my question!

So, I figured it's not really necessary to move the labels into their 
native space, since my final goal is to have the ROIs in the DTI (B0) 
space. So, I directly registered the nu-corrected output from freeSurfer 
to my B0 image, am I correct?

But, I still don't know how to get the correct lobar masks! as mentioned 
before, I tried the following command:

mri_aparc2aseg --annot freeSurfer_lobes --s P2 --o 
freeSurfer_Results/P2/label/freeSurfer_lobes.nii.gz

But, it's not giving me lobe masks and instead it creates a very 
detailed segmentation, although I'm using an annoation file 
(freeSurfer_lobes) which was created using mri_annotation2label  with 
the --lobesStrict option. Could someone please help me with how to get 
the grey matter lobar (frontal, parietal, temporal, occipital, and 
insular) masks.

Thanks,
-Mojdeh

On 11/21/2013 04:32 PM, Mojdeh Zamyadi wrote:
 Thanks! so this is the command I've used:
 mri_aparc2aseg --annot freeSurfer_lobes --s P2 --o 
 freeSurfer_Results/P2/labels/freeSurfer_lobes.nii.gz

 a couple of question I have now:

 1. what lables (numbers) correspond to the 5 main lobes? looking at 
 the FreeSurferColorLUT.txt, I'm assuming the lables I'm interested 
 in are in the range of 1000-1035 (left) and 2000-2035 (right), is this 
 correct? should I now manually add the relevant sections to get the 5 
 lobes?! or is there an automated way to do this?!

 2. also, with mri_label2vol I was using the registration flags to 
 move the labels into the native subject space, but this way (using 
 mri_aparc2aseg) I get the labels in the freeSurfer space! are there 
 options to move the lables? or should I do it as a separate step? if 
 so, could you please tell me which command I should use?

 sorry for bugging you with so many questions!

 -M

 On 11/21/2013 01:42 PM, Douglas N Greve wrote:
 use mri_aparc2aseg instead of label2vol. This is how aparc+aseg.mgz is
 created.  Look in the recon-all.log file for the command line used.

 doug


 On 11/21/2013 10:44 AM, Mojdeh Zamyadi wrote:
 Hi all,

 I want to convert the cortical labels I get in freeSurfer to volumetric
 ROIs in the subject space and I've followed the steps mentioned in:
 http://brainybehavior.com/neuroimaging/2010/05/converting-cortical-labels-from-freesurfer-to-volumetric-masks/
  


 except since I'm interested in lobe mapping I've changed the first
 commands, more specifically these are the different command I've run:

 1. mri_annotation2label  --subject P2 --hemi lh --outdir
 freeSurfer_Results/P2/labels/ --lobesStrict
 freeSurfer_Results/P2/labels/freeSurfer_lobes

 2. mri_annotation2label  --hemi lh --subject P2 --outdir
 freeSurfer_Results/P2/labels/ --annotation
 freeSurfer_Results/P2/labels/lh.freeSurfer_lobes.annot

 3. tkregister2 --mov freeSurfer_Results/P2/mri/rawavg.mgz --noedit --s
 P2 --regheader --reg freeSurfer_Results/P2/register.dat

 4. mri_label2vol --label freeSurfer_Results/P2/labels/lh.parietal.label
 --temp freeSurfer_Results/P2/mri/rawavg.mgz --subject P2 --hemi lh --o
 freeSurfer_Results/P2/labels/lh.parietal.nii.gz --proj frac 0 1 .1
 --fillthresh 1 --reg freeSurfer_Results/P2/register.dat

 the issue I have now is that the final ROI I get (e.g.
 lh.parietal.nii.gz) looks like a series of disconnected points! I was
 wondering how I can get a smooth (i.e. filled) volumetric ROI?

 Thanks,
 -Mojdeh

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[Freesurfer] converting cortical labels into volumetric ROIs

2013-11-21 Thread Mojdeh Zamyadi
Hi all,

I want to convert the cortical labels I get in freeSurfer to volumetric 
ROIs in the subject space and I've followed the steps mentioned in:
http://brainybehavior.com/neuroimaging/2010/05/converting-cortical-labels-from-freesurfer-to-volumetric-masks/

except since I'm interested in lobe mapping I've changed the first 
commands, more specifically these are the different command I've run:

1. mri_annotation2label  --subject P2 --hemi lh --outdir 
freeSurfer_Results/P2/labels/ --lobesStrict 
freeSurfer_Results/P2/labels/freeSurfer_lobes

2. mri_annotation2label  --hemi lh --subject P2 --outdir 
freeSurfer_Results/P2/labels/ --annotation 
freeSurfer_Results/P2/labels/lh.freeSurfer_lobes.annot

3. tkregister2 --mov freeSurfer_Results/P2/mri/rawavg.mgz --noedit --s 
P2 --regheader --reg freeSurfer_Results/P2/register.dat

4. mri_label2vol --label freeSurfer_Results/P2/labels/lh.parietal.label 
--temp freeSurfer_Results/P2/mri/rawavg.mgz --subject P2 --hemi lh --o 
freeSurfer_Results/P2/labels/lh.parietal.nii.gz --proj frac 0 1 .1 
--fillthresh 1 --reg freeSurfer_Results/P2/register.dat

the issue I have now is that the final ROI I get (e.g. 
lh.parietal.nii.gz) looks like a series of disconnected points! I was 
wondering how I can get a smooth (i.e. filled) volumetric ROI?

Thanks,
-Mojdeh

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Re: [Freesurfer] converting cortical labels into volumetric ROIs

2013-11-21 Thread Mojdeh Zamyadi
Thanks! so this is the command I've used:
mri_aparc2aseg --annot freeSurfer_lobes --s P2 --o 
freeSurfer_Results/P2/labels/freeSurfer_lobes.nii.gz

a couple of question I have now:

1. what lables (numbers) correspond to the 5 main lobes? looking at the 
FreeSurferColorLUT.txt, I'm assuming the lables I'm interested in are 
in the range of 1000-1035 (left) and 2000-2035 (right), is this correct? 
should I now manually add the relevant sections to get the 5 lobes?! or 
is there an automated way to do this?!

2. also, with mri_label2vol I was using the registration flags to move 
the labels into the native subject space, but this way (using 
mri_aparc2aseg) I get the labels in the freeSurfer space! are there 
options to move the lables? or should I do it as a separate step? if so, 
could you please tell me which command I should use?

sorry for bugging you with so many questions!

-M

On 11/21/2013 01:42 PM, Douglas N Greve wrote:
 use mri_aparc2aseg instead of label2vol. This is how aparc+aseg.mgz is
 created.  Look in the recon-all.log file for the command line used.

 doug


 On 11/21/2013 10:44 AM, Mojdeh Zamyadi wrote:
 Hi all,

 I want to convert the cortical labels I get in freeSurfer to volumetric
 ROIs in the subject space and I've followed the steps mentioned in:
 http://brainybehavior.com/neuroimaging/2010/05/converting-cortical-labels-from-freesurfer-to-volumetric-masks/

 except since I'm interested in lobe mapping I've changed the first
 commands, more specifically these are the different command I've run:

 1. mri_annotation2label  --subject P2 --hemi lh --outdir
 freeSurfer_Results/P2/labels/ --lobesStrict
 freeSurfer_Results/P2/labels/freeSurfer_lobes

 2. mri_annotation2label  --hemi lh --subject P2 --outdir
 freeSurfer_Results/P2/labels/ --annotation
 freeSurfer_Results/P2/labels/lh.freeSurfer_lobes.annot

 3. tkregister2 --mov freeSurfer_Results/P2/mri/rawavg.mgz --noedit --s
 P2 --regheader --reg freeSurfer_Results/P2/register.dat

 4. mri_label2vol --label freeSurfer_Results/P2/labels/lh.parietal.label
 --temp freeSurfer_Results/P2/mri/rawavg.mgz --subject P2 --hemi lh --o
 freeSurfer_Results/P2/labels/lh.parietal.nii.gz --proj frac 0 1 .1
 --fillthresh 1 --reg freeSurfer_Results/P2/register.dat

 the issue I have now is that the final ROI I get (e.g.
 lh.parietal.nii.gz) looks like a series of disconnected points! I was
 wondering how I can get a smooth (i.e. filled) volumetric ROI?

 Thanks,
 -Mojdeh

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[Freesurfer] lobe mapping

2013-11-19 Thread Mojdeh Zamyadi
Hi all,

I'm interested in getting a lobar segmentation of the cortex and I've 
already ran recon-all on my subjects. I'm now confused by the outputs 
and was wondering if someone could tell me which output file contains 
segmentation that can be merged to get a 4 lobe parcellation similar to: 
http://freesurfer.net/fswiki/CorticalParcellation?

Thanks a lot,
-Mojdeh

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Re: [Freesurfer] lobe mapping

2013-11-19 Thread Mojdeh Zamyadi
Thanks a lot for the very quick reply!

does this look OK?
  mri_annotation2label  --subject P2 --hemi rh --outdir 
freeSurfer_Results/P2/moj_labels/ --lobesStrict 
freeSurfer_Results/P2/moj_labels/freeSurfer_lobes

how can I convert the annotation file to nii.gz?!

also, could please explain a bit what the aseg file contains? because 
I though that file had the complete sub-cortical parcellation (including 
different parts of different lobes!)

sorry if my questions are rather basic, I'm very new to freeSurfer

-M
On 11/19/2013 11:21 AM, Douglas N Greve wrote:
 Try running mri_annotation2label with the --lobesStrict  option
 doug


 On 11/19/2013 11:15 AM, Mojdeh Zamyadi wrote:
 Hi all,

 I'm interested in getting a lobar segmentation of the cortex and I've
 already ran recon-all on my subjects. I'm now confused by the outputs
 and was wondering if someone could tell me which output file contains
 segmentation that can be merged to get a 4 lobe parcellation similar to:
 http://freesurfer.net/fswiki/CorticalParcellation?

 Thanks a lot,
 -Mojdeh

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[Freesurfer] extracting hippocampus volume using asegstats2table

2013-02-19 Thread Mojdeh Zamyadi


 Hi all,



 I have a question about the volume of the hippocampus. I want to
 know why when I convert the left and right hippocampus from mgz to
 nii (after extracting the labels from aseg.mgz) the number of
 voxels in the masks don't match the number I get from the
 asegstats2table (using --segno 17 and 53)? below are some examples
 numbers, the first column is the hippocampal volume using
 asegstats2table, and 2nd column is the volume as extracted from
 aseg.mgz and then converted to nii:



 5157




 5368


 4821




 4968


 4858




 5075


 5678




 5716


 4970




 5068


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Re: [Freesurfer] space of T1.mgz

2012-12-19 Thread Mojdeh Zamyadi
Hi there,

Sorry, if my question is confusing. This is what I want to do, I have
two groups of controls and patients and I've already run recon-all on
them. I now want to know the head/body/tail volumes. What I did was:
1. used mri_binarize to get the right and left hippocampal masks from
the cortical segmentation (using label numbers 17, 53)
2. used mri_convert to convert left_hippo.mgz, right_hippo.mgz and
T1.mgz into .nii files.
3. use itk SNAP to manually segment the total hippocampus (the
freesurfer mask) into head, body and tail.

now, my questions is regarding the last step. If the individual
segmentations are in the native space, I can't be sure that the
landmarks I'm using for head/body/tail separation is always the same
(since some of the subjects might be in an oblique space). So would you
recommend that I first register the T1 and segmentations all into a
common space? Also, I was wondering if the segmentation is going to
effect the actual volume (since the brain is going to be stretched and
transformed while doing the registration). I hope I made my question
clear and I would greatly appreciate your advice.

Thanks,
-Mojdeh

On 12/18/2012 12:58 PM, Bruce Fischl wrote:
  Hi Mojdeh

  they are not in atlas space and the volumes are for that subject, so
  you shouldn't have to do anything if I understand you correctly

  cheers
  Bruce

  On Tue, 18 Dec 2012, Mojdeh Zamyadi wrote:

  Hi Doug,

  Thanks for the quick reply. I actually saw this link before first
  posting my question but it doesn't quite answer my question. What I want
  to know is whether the T1.mgz  aseg.mgz files are in an atlas space? if
  that's the case, it means the segmentation for all my subjects are in
  the same space and I don't need to convert anything if I want to compare
  their hippocampal volumes. I'm not quite sure if any sort of
  registration to an atlas is done in any steps of recon-all or not. I
  would appreciate if could clarify this for me.

  Thanks,
  -Mojdeh

  On 12/18/2012 12:18 PM, Douglas N Greve wrote:
  Hi Mojdeh, try looking at this doc
  http://surfer.nmr.mgh.harvard.edu/fswiki/FsAnat-to-NativeAnat
  doug

  On 12/18/2012 11:09 AM, Mojdeh Zamyadi wrote:
  Hi all,

  I want to segment the hippocampus into head/body/tail in itk SNAP
  using
  the hippocampus mask that I create from the result of recon-all
  segmentation. My question is, are the T1.mgz and aseg.mgz files in the
  native space of the image or in the atlas space? I know the voxel size
  is different (1x1x1 mm) from the original voxel size (0.49x0.49x0.45),
  but I want to know if the original images are registered to a common
  atlas space or just resampled to a different voxel size. The reason
  I'm
  asking this, is because I'm doing a group study and I want to make
  sure
  all my subjects are in the same space so that the segmentation I do is
  accurate for all.

  Thanks for your help,

  Mojdeh Zamyadi, MSc
  Clinical Research Project Assistant
  The Hospital for Sick Children
  555 University Avenue
  Toronto ON M5G 1X8


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Re: [Freesurfer] space of T1.mgz

2012-12-18 Thread Mojdeh Zamyadi
Hi Doug,

Thanks for the quick reply. I actually saw this link before first 
posting my question but it doesn't quite answer my question. What I want 
to know is whether the T1.mgz  aseg.mgz files are in an atlas space? if 
that's the case, it means the segmentation for all my subjects are in 
the same space and I don't need to convert anything if I want to compare 
their hippocampal volumes. I'm not quite sure if any sort of 
registration to an atlas is done in any steps of recon-all or not. I 
would appreciate if could clarify this for me.

Thanks,
-Mojdeh

On 12/18/2012 12:18 PM, Douglas N Greve wrote:
 Hi Mojdeh, try looking at this doc
 http://surfer.nmr.mgh.harvard.edu/fswiki/FsAnat-to-NativeAnat
 doug

 On 12/18/2012 11:09 AM, Mojdeh Zamyadi wrote:
 Hi all,

 I want to segment the hippocampus into head/body/tail in itk SNAP using
 the hippocampus mask that I create from the result of recon-all
 segmentation. My question is, are the T1.mgz and aseg.mgz files in the
 native space of the image or in the atlas space? I know the voxel size
 is different (1x1x1 mm) from the original voxel size (0.49x0.49x0.45),
 but I want to know if the original images are registered to a common
 atlas space or just resampled to a different voxel size. The reason I'm
 asking this, is because I'm doing a group study and I want to make sure
 all my subjects are in the same space so that the segmentation I do is
 accurate for all.

 Thanks for your help,

 Mojdeh Zamyadi, MSc
 Clinical Research Project Assistant
 The Hospital for Sick Children
 555 University Avenue
 Toronto ON M5G 1X8


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 Freesurfer mailing list
 Freesurfer@nmr.mgh.harvard.edu
 https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer



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Re: [Freesurfer] Talairach registration

2012-07-23 Thread Mojdeh Zamyadi
thanks Bruce :)
-Mojdeh

On 07/20/2012 04:27 PM, Bruce Fischl wrote:
 Hi Mojdeh

 it's really hard to say how much you should correct. In general we 
 don't do that much.  A couple of control points or a few voxels added 
 to the wm.mgz can have a big effect if you are experienced. Mostly 
 just see if the ?h.white and pial surface are visually accurate, and 
 if not see if some small intervention might fix them.

 cheers
 Bruce



 On Fri, 20 Jul 2012, Mojdeh Zamyadi wrote:

 Hi Bruce,

 Thank's for the reply! I'm not concerned about hippocampal volume for 
 now, mostly needing cortical thickness for my project! Yes, I am 
 using v5.1. So in case of cortical thickness I shouldn't worry too 
 much about Talairach registration? could you please tell me what are 
 the main things I should check and pay attention to for cortical 
 thickness? I'm following the troubleshooting page 
 (http://surfer.nmr.mgh.harvard.edu/fswiki/RecommendedReconstruction) 
 and I see some discrepancies in the pial/WM surfaces but again I am 
 not sure how much I should correct!

 Thanks again,
 -Mojdeh

 On 07/20/2012 04:15 PM, Bruce Fischl wrote:
 Hi Mojdeh

 it won't affect any individual thickness measures, *but* will affect 
 the estimated total intracranial volume (eTIV). We don't typically 
 use eTIV for thickness correction, but do for things like 
 hippocampal volume. Are you using version 5.1? If so, that's the 
 problem. Nick has a fix for this that he can direct you about, or 
 you can wait for 5.2 and rerun the Talairach registration then.

 cheers
 Bruce


 On Fri, 20 Jul 2012, Mojdeh Zamyadi wrote:

 Hi all,

 Sorry for re-posting this but it seems it didn't get through!

 I've just started to do cortical thickness analysis on some 
 subjects and
 I'm noticing some miss-registrations, more specifically the Talairach
 image is smaller than the target image no matter what subject I 
 look at!
 I just wanted to make sure if this is something normal and to what
 extend it's going to effect the individual cortical thickness
 calculations. I guess I'm not sure how the Talairach transformation is
 used in further steps of the cortical thickness calculation.

 I tried to attach example coronal, sagittal and horizontal slices 
 of one
 of my subjects but apparently it was too big for the mailing list. 
 Pleas
 let me know if there is a way to attach images here.

 I greatly appreciate your advice.

 Thanks,
 Mojdeh Zamyadi, MSc
 Clinical Research Project Assistant
 The Hospital for Sick Children
 555 University Avenue
 Toronto, ON, M5G 1X8
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 the e-mail
 contains patient information, please contact the Partners Compliance 
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to 
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[Freesurfer] Fwd: issues with the Talairach transformation

2012-07-20 Thread Mojdeh Zamyadi
it seems my initial message is not going through because I had some 
files attached! is there a way I can attach files here?

thanks,
-Mojdeh

 Original Message 
Subject:issues with the Talairach transformation
Date:   Thu, 19 Jul 2012 15:20:24 -0400
From:   Mojdeh Zamyadi mojde...@gmail.com
To: freesurfer@nmr.mgh.harvard.edu



Hi all,

I've just started to do cortical thickness analysis on some subjects and
I'm noticing some miss-registrations, more specifically the Talairach
image is smaller than the target image no matter what subject I look at!
I just wanted to make sure if this is something normal and to what
extend it's going to effect the individual cortical thickness
calculations. I guess I'm not sure how the Talairach trasnformation is
used in further steps of the cortical thickness calculation. I've
attached example coronal, sagittal and horizontal slices of one of my
subjects. I greatly appreciate your advice.

Thanks,
Mojdeh Zamyadi, MSc
Clinical Research Project Assistant
The Hospital for Sick Children
555 University Avenue
Toronto ON M5G 1X8



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The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
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[Freesurfer] Talairach registration

2012-07-20 Thread Mojdeh Zamyadi
Hi all,

Sorry for re-posting this but it seems it didn't get through!

I've just started to do cortical thickness analysis on some subjects and 
I'm noticing some miss-registrations, more specifically the Talairach 
image is smaller than the target image no matter what subject I look at! 
I just wanted to make sure if this is something normal and to what 
extend it's going to effect the individual cortical thickness 
calculations. I guess I'm not sure how the Talairach transformation is 
used in further steps of the cortical thickness calculation.

I tried to attach example coronal, sagittal and horizontal slices of one 
of my subjects but apparently it was too big for the mailing list. Pleas 
let me know if there is a way to attach images here.

I greatly appreciate your advice.

Thanks,
Mojdeh Zamyadi, MSc
Clinical Research Project Assistant
The Hospital for Sick Children
555 University Avenue
Toronto, ON, M5G 1X8
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The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.



Re: [Freesurfer] Talairach registration

2012-07-20 Thread Mojdeh Zamyadi
Hi Bruce,

Thank's for the reply! I'm not concerned about hippocampal volume for 
now, mostly needing cortical thickness for my project! Yes, I am using 
v5.1. So in case of cortical thickness I shouldn't worry too much about 
Talairach registration? could you please tell me what are the main 
things I should check and pay attention to for cortical thickness? I'm 
following the troubleshooting page 
(http://surfer.nmr.mgh.harvard.edu/fswiki/RecommendedReconstruction) and 
I see some discrepancies in the pial/WM surfaces but again I am not sure 
how much I should correct!

Thanks again,
-Mojdeh

On 07/20/2012 04:15 PM, Bruce Fischl wrote:
 Hi Mojdeh

 it won't affect any individual thickness measures, *but* will affect 
 the estimated total intracranial volume (eTIV). We don't typically use 
 eTIV for thickness correction, but do for things like hippocampal 
 volume. Are you using version 5.1? If so, that's the problem. Nick has 
 a fix for this that he can direct you about, or you can wait for 5.2 
 and rerun the Talairach registration then.

 cheers
 Bruce


 On Fri, 20 Jul 2012, Mojdeh Zamyadi wrote:

 Hi all,

 Sorry for re-posting this but it seems it didn't get through!

 I've just started to do cortical thickness analysis on some subjects and
 I'm noticing some miss-registrations, more specifically the Talairach
 image is smaller than the target image no matter what subject I look at!
 I just wanted to make sure if this is something normal and to what
 extend it's going to effect the individual cortical thickness
 calculations. I guess I'm not sure how the Talairach transformation is
 used in further steps of the cortical thickness calculation.

 I tried to attach example coronal, sagittal and horizontal slices of one
 of my subjects but apparently it was too big for the mailing list. Pleas
 let me know if there is a way to attach images here.

 I greatly appreciate your advice.

 Thanks,
 Mojdeh Zamyadi, MSc
 Clinical Research Project Assistant
 The Hospital for Sick Children
 555 University Avenue
 Toronto, ON, M5G 1X8
 ___
 Freesurfer mailing list
 Freesurfer@nmr.mgh.harvard.edu
 https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer





 The information in this e-mail is intended only for the person to whom 
 it is
 addressed. If you believe this e-mail was sent to you in error and the 
 e-mail
 contains patient information, please contact the Partners Compliance 
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to you 
 in error
 but does not contain patient information, please contact the sender 
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[Freesurfer] cortical thickness and ICA of resting state fMRI

2012-07-11 Thread Mojdeh Zamyadi
Hi all,

I was wondering if anyone knows about any articles that compare/relate 
cortical thickness analysis with resting state ICA results? More 
specifically, I'm looking for articles that study cortical thickness 
changes in different regions of brain and its possible relation to group 
clusters found using ICA analysis of resting state fMRI.

Thanks,
Mojdeh Zamyadi, MSc
Clinical Research Project Assistant
The Hospital for Sick Children
555 University Avenue
Toronto ON M5G 1X8
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contains patient information, please contact the Partners Compliance HelpLine at
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