Re: [Freesurfer] Segmentation of MR-PET structurals

2013-06-19 Thread Douglas Greve
Hi Gabriel, I don't have experience with the MR-PET yet. Why do you 
think there is a problem? Try running wm-anat-snr on this subject. In 
general, you don't want to be smoothing/denoising the anatomical

doug





On 6/18/13 1:13 PM, obre...@nmr.mgh.harvard.edu wrote:

Hi,

I've started segmenting several structural scans from an MR-PET study
conducted in Bay 7, and was wondering if someone has previous experience
working with MPRAGE images acquired using the MR-PET coils?

The scans have a very low SNR and I am trying to figure out if this could
potentially affect the performance of the automated surface
reconstructions. I've scrolled through the volumes and even though the
surfaces seem normal, I am somewhat skeptical about their true quality
given that intermediate stages, such as the intensity normalization, seem
to be failing (please find an example from one of the brain masks
attached).

Is it essential to filter the raw structurals before segmenting them, and
if so, are there any readily available denoising tools? Furthermore, are
there any additional issues I should take into consideration?

Thanks for your help!

Gabriel


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Re: [Freesurfer] qdec differences in FS 5.0 vs 5.3

2013-06-19 Thread Douglas Greve

Hi Maria, can you elaborate on exactly what you have done? Is the data 
the same and you are only changing the version of QDEC? What is the 
nature of the difference? Can you send pics or stats?
doug


On 6/18/13 6:06 AM, Maria Kharitonova wrote:
 Hi,

 I'm learning how to use QDEC and was comparing results that it produces under 
 FresSurfer 5.0 vs 5.3. I know the 5.0 has an option for either DODS or DOSS 
 method of producing a design matrix, while the 5.3 only has DODS. This 
 suggests that results should be identical (or at least similar) across 
 versions if I select DODS. However, I'm getting very different results based 
 on the version I select: complete lack of differences across groups in 5.3 
 and a predicted pattern of differences in 5.0 using DODS. I'd like to 
 understand where the differences are stemming from -- any ideas?

 Thanks in advance!
 Maria

 ***

 Maria Kharitonova, Ph.D.
 Postdoctoral Research Fellow
 Laboratories of Cognitive Neuroscience
 Boston Children's Hospital


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Re: [Freesurfer] problem downloading Xhemi files

2013-06-19 Thread Douglas Greve

try now

On 6/18/13 9:37 PM, amirhossein manzouri wrote:

I have version 5.1 so please recreate the links!
BR


On Tue, Jun 18, 2013 at 8:43 AM, Douglas Greve 
gr...@nmr.mgh.harvard.edu mailto:gr...@nmr.mgh.harvard.edu wrote:



Hi Amir, if you are using 5.2 or 5.3, then you should already have
it. If not, I'll have to recreate the links. let me know
doug


On 6/17/13 6:52 AM, amirhossein manzouri wrote:

Dear Doug,
I can not download the files needed for Xhemi in mentioned link.
Would you please advise how to download them?

-- 
Best regards,

Amir





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Re: [Freesurfer] MRIread.m and hippocampal subfields

2013-06-19 Thread Douglas Greve
Hi Marcos, it is weird that the posterior*.mgz does not have that info. 
Maybe Koen or Eugenio know why. In the mean time, you can use 
mri_convert to change/set the parameters, eg


mri_convert in.mgz out.mgz -tr 0 -ti 0 -te 0 -flip_angle 0

doug





On 6/18/13 2:50 PM, Marcos Martins da Silva wrote:

Hi, Freesurfer experts
If you try to read one of the posterior*.mgz files generated by 
reco-all -hippo-subfield into MatLab/Octave using MRIread.m it fails 
like this:

*Ps=MRIread('posterior_left_subiculum.mgz') *
*WARNING: error reading MR params*
*Attempted to access mr_parms(1); index out of bounds because*
*numel(mr_parms)=0.*

*Error in MRIread (line 100)*
*   tr = mr_parms(1);*

That is because the posterior*.mgz files does not have this data.I 
made a  creating a little customized nMRIread.m with the following

changes:

*if numel(mr_parms)  0*
* tr = mr_parms(1);*
*flip_angle = mr_parms(2);*
* te = mr_parms(3);*
* ti = mr_parms(4);*
*   else*
*mr_parms(1) = 0;*
* mr_parms(2) = 0;*
* mr_parms(3) = 0;*
* mr_parms(4) = 0;*
* tr = mr_parms(1);*
* flip_angle = mr_parms(2);*
*te = mr_parms(3);*
*ti = mr_parms(4);*
*  end*

That works but it is only a quick workaround since MRIread,m calls 
load_mgh.m and it shows a warning message about the mr_parms. This 
message does not block my work but it is not good to see the warning 
all the time on my screen. Perhaps the best fix would be just creating 
the posterior*.mgz files with these data defined as 0. But I would be 
happy if I could just edit these files defining these values. Is 
there a freesurfer tool to make this simple edition? I noticed, for 
example, that when you use mri_concat to sum these files the resulting 
concatenated file is fixed and these parameters are defined.

Thanks in advance,
Marcos.


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Re: [Freesurfer] problem downloading Xhemi files

2013-06-19 Thread amirhossein manzouri
I use curl to download in MAC with the links you mentioned and it is not
there!
amir% curl -O
ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/surfreg
  % Total% Received % Xferd  Average Speed   TimeTime Time
 Current
 Dload  Upload   Total   SpentLeft
 Speed
  0 00 00 0  0  0 --:--:--  0:00:01 --:--:--
  0
curl: (78) RETR response: 550



On Wed, Jun 19, 2013 at 8:42 AM, Douglas Greve gr...@nmr.mgh.harvard.eduwrote:

  try now


 On 6/18/13 9:37 PM, amirhossein manzouri wrote:

  I have version 5.1 so please recreate the links!
  BR


 On Tue, Jun 18, 2013 at 8:43 AM, Douglas Greve 
 gr...@nmr.mgh.harvard.eduwrote:


 Hi Amir, if you are using 5.2 or 5.3, then you should already have it. If
 not, I'll have to recreate the links. let me know
 doug


 On 6/17/13 6:52 AM, amirhossein manzouri wrote:

   Dear Doug,
 I can not download the files needed for Xhemi in mentioned link. Would
 you please advise how to download them?

  --
 Best regards,
 Amir






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 e-mail
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  --
 Best regards,
 Amirhossein Manzouri







-- 
Best regards,
Amirhossein Manzouri
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[Freesurfer] TRACULA - tract volume and length

2013-06-19 Thread Fred Sanders
Dear DTI experts,

I am trying to understand how to interpret tract length  volume
measurements that TRACULA provides.  For example, let’s say a clinical
population differs from a control group in mean FA of a particular
tract, and tract length  volume are comparable across the 2 groups.
I think this would support the notion that the tract’s diffusion
properties are indeed different across the two groups and that the FA
finding are unlikely to be an artifact of probabilistic tractography.
Is this a correct interpretation?  Conversely, if group differences in
tract volumes were detected, would you recommend comparing mean FA
across the two group while covarying for tract volume?

Thanks!

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Re: [Freesurfer] Reviewer not satisfied

2013-06-19 Thread Bruce Fischl

read_curv.m should do the trick
On Wed, 19 Jun 2013, Jürgen Hänggi wrote:


Dear Bruce

Yes, the .max and the .min files were produced, but how to access the values
in it. Is there a possibility to import these files into MATLAB?

Thanks in advance
Cheers
Jürgen


On [DATE], Bruce Fischl [ADDRESS] wrote:


.H is mean and .K is Gaussian curvature. It should also write a .max and
.min, doesn't it? Those are the principal curvatures that you want.

Bruce

On Tue, 18 Jun 2013, Jürgen Hänggi
wrote:


Dear Bruce

Thanks a lot for the info. It worked fine, but how can I open the resulting
.H and .K files?

Cheers
Jürgen


On [DATE], Bruce Fischl [ADDRESS] wrote:


Hi Jürgen

you could quantify this if you want. Use mris_curvature to compute the
mean curvature maps independently (the first and second principal
curvatures). These have the units of 1/mm and are exactly the radius of
curvature. You could histogram them and look at the distribution.

cheers
Bruce

p.s. I think you want -w -max and -w -min flags for it

On Fri, 14 Jun 2013, Jürgen Hänggi
wrote:


Dear FS experts

In one of our paper, I tried to explain how FS is able to produce cortical
thickness maps in a spatial resolution that go beyond the resolution of the
original MRI acquisition.

We wrote the following:

The thickness maps produced are not limited to the voxel resolution of the
image and thus sensitive for sub-millimeter differences between groups
(Fischl, Dale 2000). The way in which the resolution of the cortical
thickness maps goes beyond the resolution of the original acquisition can
be
imagined as a (conventional) partial volume correction procedure. The
cortex
is smooth at the spatial scale of a couple of millimeters, which is imposed
as constraint by FreeSurfer to estimate the location of the surface with
subvoxel accuracy. For instance, if a given voxel is darker than its
neighbouring grey matter it probably contains more CSF and so the surface
model is at a slightly different position than if the neighbouring voxels
were brighter and therefore contain probably more white matter.

Now, the reviewer says that we are to vague in our description. He would
like to know what is exactly meant by a couple of millimeters.

Is this 1-3 mm or rather 3-5 mm or any other value?

Thanks in advance for any suggestion
Regards
Jürgen Hänggi



---
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Division Neuropsychology
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8050 Zurich, Switzerland
0041 44 635 73 97 (phone office)
0041 76 445 86 84 (phone mobile)
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Binzmuehlestrasse 14, PO Box 25
8050 Zurich, Switzerland
0041 44 635 73 97 (phone office)
0041 76 445 86 84 (phone mobile)
0041 44 635 74 09 (fax office)
BIN 4.D.04 (office room number)
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Re: [Freesurfer] MRIread.m and hippocampal subfields

2013-06-19 Thread Marcos Martins da Silva
I knew you would have a clean solution. :-)
Thank you, Doug.
Em Ter, 2013-06-18 às 23:45 -0700, Douglas Greve escreveu:

 Hi Marcos, it is weird that the posterior*.mgz does not have that
 info. Maybe Koen or Eugenio know why. In the mean time, you can use
 mri_convert to change/set the parameters, eg
 
 mri_convert in.mgz out.mgz -tr 0 -ti 0 -te 0 -flip_angle 0
 
 doug
 
 
 
 
 
 
 On 6/18/13 2:50 PM, Marcos Martins da Silva wrote:
 
  
  Hi, Freesurfer experts
  If you try to read one of the posterior*.mgz files generated by
  reco-all -hippo-subfield into MatLab/Octave using MRIread.m it fails
  like this:
  Ps=MRIread('posterior_left_subiculum.mgz')  
  WARNING: error reading MR params
  Attempted to access mr_parms(1); index out of bounds because
  numel(mr_parms)=0.
  
  Error in MRIread (line 100)
 tr = mr_parms(1);
  
  That is because the posterior*.mgz files does not have this data. I
  made a  creating a little customized nMRIread.m with the following
  changes:
  
  if numel(mr_parms)  0
   tr = mr_parms(1);
  flip_angle = mr_parms(2);
   te = mr_parms(3);
   ti = mr_parms(4);
 else
  mr_parms(1) = 0;
   mr_parms(2) = 0;
   mr_parms(3) = 0;
   mr_parms(4) = 0;
   tr = mr_parms(1);
   flip_angle = mr_parms(2);
  te = mr_parms(3);
  ti = mr_parms(4);
end
  
  That works but it is only a quick workaround since MRIread,m calls
  load_mgh.m and it shows a warning message about the mr_parms. This
  message does not block my work but it is not good to see the warning
  all the time on my screen. Perhaps the best fix would be just
  creating the posterior*.mgz files with these data defined as 0. But
  I would be happy if I could just edit these files defining these
  values. Is there a freesurfer tool to make this simple edition? I
  noticed, for example, that when you use mri_concat to sum these
  files the resulting concatenated file is fixed and these parameters
  are defined.
  Thanks in advance,
  Marcos. 
  
  
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[Freesurfer] error in lme_mass_fit using matlab tools

2013-06-19 Thread Catherine Bois
Dear Freesurfer experts,

I have a question about fitting linear mixed models to mass-univariate  
data using the lme tools in matlab.

I am currently trying to compute the initial vertex-wise temporal  
covariance estimates by [lhTh0lhRe] =  
lme_mass_fit_EMinit(X,[2],ni,lhcortex,3]

However, I keep getting this error message:

Undefined function 'matlabpool' for input arguments of type 'char'.

Error in lme_mass_fit_init (line 74)
if (prs==1) || (matlabpool('size') ~= prs)

Error in lme_mass_fit_EMinit (line 69)
[Theta1,Re1] = lme_mass_fit_init(X,Zcols,Y,ni,[],prs);

I have defined X, Y etc according to the previous steps available on  
the wiki. Would be very grateful for any clarification on why this  
error message keeps coming up.

Thank you very much,

Cathy

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[Freesurfer] IOError: [Errno 13] Permission denied: 'aseg_stats.txt'

2013-06-19 Thread Varghese Chikku
Dear FS team,
I  tried to  run this  command

asegstats2table --subjects bert ernie fred margaret --meas volume
--tablefile aseg_stats.txt

But got this   error,permission denied,

SUBJECTS_DIR : /usr/local/freesurfer/subjects
Parsing the .stats files
Building the table..
Writing the table to aseg_stats.txt
Traceback (most recent call last):
  File /usr/local/freesurfer/bin/asegstats2table, line 517, in module
write_table(options, rows, columns, table)
  File /usr/local/freesurfer/bin/asegstats2table, line 462, in write_table
tw.write()
  File /usr/local/freesurfer/bin/datastruct_utils.py, line 58, in write
fp = open(self.filename, 'w')
IOError: [Errno 13] Permission denied: 'aseg_stats.txt'
freesurfer@freesurfer-VirtualBox:/usr/lib$

Many thanks

Chikku
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[Freesurfer] Interior white matter surfaces

2013-06-19 Thread Jason Reed
Dear FreeSurfer Experts,

I am attempting to construct surfaces that are 1, 2, 3, and 4 mm 
interior from the GM/WM boundary (?h.white). So going gradually deeper 
into white matter from the GM/WM boundary.  I have successfully used 
mris_fill to fill the ?h.white surface and mri_morphology to erode the 
resulting volume, but I'm not sure on the correct procedure to create 
the new surfaces.  Any advice or suggestions on tools with options to 
use will be greatly appreciated!

My eventual goal is to project coregistered DTI data onto these more 
interior white matter surfaces.

Thanks!
-Jason

-- 
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VA San Diego Healthcare System (116A-13)
3350 La Jolla Village Drive
San Diego, CA 92161
Phone: (858) 552-8585 ext. 2946
Fax: (858) 642-3836
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[Freesurfer] recon-all error MRIthickenThinWMStrands

2013-06-19 Thread Sudhin A. Shah
Hi

ERROR: MRIthickenThinWMStrands: invalid x,y,z!

Numerical result out of range


Any tips?
S
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Re: [Freesurfer] IOError: [Errno 13] Permission denied: 'aseg_stats.txt'

2013-06-19 Thread Louis Nicholas Vinke

Hi Chikku,
I think this is a permissions issue.  Check that you have write 
permissions to where you are trying to write the stats table.

-Louis

On Wed, 19 Jun 2013, Varghese Chikku wrote:


Dear FS team,
I  tried to  run this  command

asegstats2table --subjects bert ernie fred margaret --meas volume --tablefile 
aseg_stats.txt

But got this   error,permission denied,

SUBJECTS_DIR : /usr/local/freesurfer/subjects

Parsing the .stats files
Building the table..
Writing the table to aseg_stats.txt
Traceback (most recent call last):
  File /usr/local/freesurfer/bin/asegstats2table, line 517, in module

    write_table(options, rows, columns, table)
  File /usr/local/freesurfer/bin/asegstats2table, line 462, in write_table
    tw.write()
  File /usr/local/freesurfer/bin/datastruct_utils.py, line 58, in write

    fp = open(self.filename, 'w')
IOError: [Errno 13] Permission denied: 'aseg_stats.txt'
freesurfer@freesurfer-VirtualBox:/usr/lib$ 


Many thanks

Chikku

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Re: [Freesurfer] Interior white matter surfaces

2013-06-19 Thread Bruce Fischl
Hi Jason

you could try using mris_expand with a negative # of millimeters. At 4mm 
you will lose a lot of the gyri and the procedure will probably fail, but 
for smaller amounts it should work (and is what we've done in the past). 
You can also use mris_distance_transform to compute the distance transform 
for the wm and use negative distances to find the distance into the 
interior

cheers
Bruce


On Wed, 19 Jun 2013, Jason Reed wrote:

 Dear FreeSurfer Experts,

 I am attempting to construct surfaces that are 1, 2, 3, and 4 mm
 interior from the GM/WM boundary (?h.white). So going gradually deeper
 into white matter from the GM/WM boundary.  I have successfully used
 mris_fill to fill the ?h.white surface and mri_morphology to erode the
 resulting volume, but I'm not sure on the correct procedure to create
 the new surfaces.  Any advice or suggestions on tools with options to
 use will be greatly appreciated!

 My eventual goal is to project coregistered DTI data onto these more
 interior white matter surfaces.

 Thanks!
 -Jason


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Re: [Freesurfer] Segmentation of MR-PET structurals

2013-06-19 Thread Bruce Fischl
Hi Gabriel

can you give us details of your acquisition? Why is it so noisy?
Bruce


On Wed, 19 Jun 2013, Gabriel Obregon wrote:

 Hi Douglas,
 
 The brainmask volumes are extremely grainy (similar to the raw structurals),
 i.e., dark voxels throughout the WM and high-intensity voxels across the
 gray matter. As far as I understood, all WM voxels (unless a lesion is
 present) should have a uniform intensity distribution after the
 normalization stages within the volume processing pipeline. Moreover, this
 makes the WM edits particularly challenging, for it's very difficult to
 trace the boundaries of some of the WM strands.
 
 I don't know if this represents an issue but it's definitely something I
 hadn't encountered before. Any input would be really appreciated!
 
 Thanks,
 
 --G
 
 On Jun 19, 2013, at 2:23 AM, Douglas Greve gr...@nmr.mgh.harvard.edu
 wrote:

   Hi Gabriel, I don't have experience with the MR-PET yet. Why do
   you think there is a problem? Try running wm-anat-snr on this
   subject. In general, you don't want to be smoothing/denoising
   the anatomical
   doug
 
 
 
 

   On 6/18/13 1:13 PM, obre...@nmr.mgh.harvard.edu wrote:
 
 Hi,
 
 I've started segmenting several structural scans from an MR-PET study
 conducted in Bay 7, and was wondering if someone has previous experience
 working with MPRAGE images acquired using the MR-PET coils?
 
 The scans have a very low SNR and I am trying to figure out if this could
 potentially affect the performance of the automated surface
 reconstructions. I've scrolled through the volumes and even though the
 surfaces seem normal, I am somewhat skeptical about their true quality
 given that intermediate stages, such as the intensity normalization, seem
 to be failing (please find an example from one of the brain masks
 attached).
 
 Is it essential to filter the raw structurals before segmenting them, and
 if so, are there any readily available denoising tools? Furthermore, are
 there any additional issues I should take into consideration?
 
 Thanks for your help!
 
 Gabriel
 
 
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Re: [Freesurfer] recon-all error MRIthickenThinWMStrands

2013-06-19 Thread Bruce Fischl
nope, never seen that error. Probably from mri_segment. If you send me the 
input volume I'll take a look (check the recon-all.log and see what command 
was running when that happened). Also, definitely check it before sending 
to make sure it's reasonable

On Wed, 19 Jun 2013, 
Sudhin A. Shah wrote:

 Hi
 
 ERROR: MRIthickenThinWMStrands: invalid x,y,z!
 
 Numerical result out of range
 
 
 Any tips?
 S
 

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Re: [Freesurfer] MRIread.m and hippocampal subfields

2013-06-19 Thread Marcos Martins da Silva
Hi, Doug
Hi, all

This single BASH script line works like a charm for all posterior.mgz
files in a once and keeps the original names (must be in yoursubject/mri
folder).
for f in $(ls posterior*.mgz); do mri_convert -tr 0 -ti 0 -te 0
-flip_angle 0 -i $f -o $f; done

You can also use in a more complete script like:

#!/bin/bash
#usage myrecon subj (for example, myrecon bert)
mkdir ~/freesurfer/subjects/$1/mri/orig -p
cp  ~/freesurfer/ImgOrig/$1/* ~/freesurfer/subjects/$1/mri/orig/
recon-all -all -s $1 -cw256 -hippo-subfields -qcache
cd ~/freesurfer/subjects/$1/mri
for f in $(ls posterior*.mgz); do mri_convert -tr 0 -ti 0 -te 0
-flip_angle 0 -i $f -o $f; done

This way all files will be fixed just after usual recon-all pipeline.
Notice you may adapt for your environment and recon-all options. Also,
ImgOrig is a custom folder where I have 1 folder for each of my subjects
with their respective images already prepared as 00x.mgz.
I hope you think it is useful. 
BTW, I had to specify -i and -o in the command line. Using just the name
of the files did not work.
Thank you again, Doug.

Marcos

Em Ter, 2013-06-18 às 23:45 -0700, Douglas Greve escreveu:

 Hi Marcos, it is weird that the posterior*.mgz does not have that
 info. Maybe Koen or Eugenio know why. In the mean time, you can use
 mri_convert to change/set the parameters, eg
 
 mri_convert in.mgz out.mgz -tr 0 -ti 0 -te 0 -flip_angle 0
 
 doug
 
 
 
 
 
 
 On 6/18/13 2:50 PM, Marcos Martins da Silva wrote:
 
  
  Hi, Freesurfer experts
  If you try to read one of the posterior*.mgz files generated by
  reco-all -hippo-subfield into MatLab/Octave using MRIread.m it fails
  like this:
  Ps=MRIread('posterior_left_subiculum.mgz')  
  WARNING: error reading MR params
  Attempted to access mr_parms(1); index out of bounds because
  numel(mr_parms)=0.
  
  Error in MRIread (line 100)
 tr = mr_parms(1);
  
  That is because the posterior*.mgz files does not have this data. I
  made a  creating a little customized nMRIread.m with the following
  changes:
  
  if numel(mr_parms)  0
   tr = mr_parms(1);
  flip_angle = mr_parms(2);
   te = mr_parms(3);
   ti = mr_parms(4);
 else
  mr_parms(1) = 0;
   mr_parms(2) = 0;
   mr_parms(3) = 0;
   mr_parms(4) = 0;
   tr = mr_parms(1);
   flip_angle = mr_parms(2);
  te = mr_parms(3);
  ti = mr_parms(4);
end
  
  That works but it is only a quick workaround since MRIread,m calls
  load_mgh.m and it shows a warning message about the mr_parms. This
  message does not block my work but it is not good to see the warning
  all the time on my screen. Perhaps the best fix would be just
  creating the posterior*.mgz files with these data defined as 0. But
  I would be happy if I could just edit these files defining these
  values. Is there a freesurfer tool to make this simple edition? I
  noticed, for example, that when you use mri_concat to sum these
  files the resulting concatenated file is fixed and these parameters
  are defined.
  Thanks in advance,
  Marcos. 
  
  
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[Freesurfer] check orientation

2013-06-19 Thread Brigitte Dahmen
Dear Freesurfer experts,

is there a command in Freesurfer to check for correct orientation (LAS vs.
PSR) of T1 images (similar to fslhd in FSL)?

Thank you very much!
Brigitte
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Re: [Freesurfer] check orientation

2013-06-19 Thread Bruce Fischl

Hi Brigette,

not sure how you could do this except visually. Bring the images up and 
verify that the directions that we specify are correct (although of 
course this isn't possible for L/R unless you have some type of external 
fiducial marker like a vitamin E tablet)


cheers
Bruce
On Wed, 19 Jun 2013, Brigitte 
Dahmen wrote:



Dear Freesurfer experts,

is there a command in Freesurfer to check for correct orientation (LAS vs.
PSR) of T1 images (similar to fslhd in FSL)? 

Thank you very much!
Brigitte

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[Freesurfer] export the ROIs in 'Desikan-Killiany' cortical atlas

2013-06-19 Thread Yang, Daniel
Hi FreeSurfer expert,

I am interested in a particular region of the Desikan-Killiany atlas and I'd 
like to use it as an ROI image mask in my fMRI analysis.

Could you please suggest how I can do that?

From here (http://ftp.nmr.mgh.harvard.edu/fswiki/CorticalParcellation), I see 
that the DK atlas files are located here:

$FREESURFER_HOME/average/?h.curvature.buckner40.filled.desikan_killiany.gcs

Question 1: how can I read this GCS file?

Question 2: After I read this GCS file, how can I create an ROI image mask?

I am thinking to use the WFU PickAtlas to create an ROI 
(http://fmri.wfubmc.edu/software/PickAtlas). Would it be a good fit?

Thanks!
Daniel

--
Yung-Jui Daniel Yang, PhD
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
(203) 737-5454
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Re: [Freesurfer] problem bbregister onto longitudinal pipeline

2013-06-19 Thread Martin Reuter
Hi Daniel,

bbregister is completely independent of the longitudinal stream, so if it 
fails, it has other reasons (e.g. bad initial alignment). You could try to 
switch the initial alignment to some other methods.

Best, Martin

On Jun 14, 2013, at 3:25 AM, Daniel Garcia d.garcia-...@icm-institute.org 
wrote:

 Dear Freesurfer Users,
 
 I'm having a problem to register my PET images into the longitudinal
 pipeline of freesurfer (version 5.1).
 
 I have use bbregister without any problem to put the PET image into the
 crossectional images but it fails to register to the long version of it.
 Someone can tell me if I'm doing something wrong?
 
 bbregister -s P09_TA --mov pet_09.nii --init-fsl --reg matrix.mat --o
 pet2free.mgz
 
 This last command works perfectly, but 
 
 bbregister -s P09_TA.long.P09 --mov pet_09.nii --init-fsl --reg
 matrix.mat --o pet2free.mgz
 
 Fails completely.
 
 My objective is to project my pet cortex into the surface in
 longitudinal that is why I'm interested in this processing. Maybe you
 can tell my another way of doing this.
 
 Thank you very much.
 
 Daniel
 
 
 
 
 
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-
Dr. Martin Reuter
Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone: +1-617-724-5652
Email: 
   mreu...@nmr.mgh.harvard.edu
   reu...@mit.edu
Web  : http://reuter.mit.edu 

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Re: [Freesurfer] error --qdec long

2013-06-19 Thread Martin Reuter
Hi Catherine,

probably you are not using 5.3. otherwise it should recognize the --qdec-long 
flag. You can open mris_preproc and take a look (it is a text file), there 
should be a qdec-long if you search it.

Best, Martin 

On Jun 17, 2013, at 12:04 PM, Catherine Bois c.b...@sms.ed.ac.uk wrote:

 Dear Freesurfer experts,
 
 I am trying to prepare my data for linear mixed modeling using the matlab add 
 ons, with this command
 
 mris_preproc --qdec-long qdec.table.dat --target fsaverage --hemi lh --meas 
 thickness --out lh.thickness.mgh
 
 However I keep getting this error message ERROR: flag --qdec-long not 
 recognized
 
 I am using version 5.3 and read on the release notes that qdec-long only 
 works with unix input text files (\n newline). I thought that was the format 
 of my textfile, and also confused as to why the wrong format of the file 
 would make the flag unrecognized as opposed to the textfile...I was also 
 wondering whether the -long table needs to be shrunk to cross-sectional 
 format as it does in the two stage model? I have attached an excerpt of my 
 textfile qdec, would greatly appreciate help in establishing whether it is 
 somehow the format of the textfile that is the problem?
 
 Thank you very much for your help,
 
 Best Wishes,
 
 Cathy
 
 
 
 -- 
 The University of Edinburgh is a charitable body, registered in
 Scotland, with registration number SC005336.
 
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Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone: +1-617-724-5652
Email: 
   mreu...@nmr.mgh.harvard.edu
   reu...@mit.edu
Web  : http://reuter.mit.edu 

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Re: [Freesurfer] Longitudinal processing

2013-06-19 Thread Martin Reuter
Hi Linn,

do you mean the brain mask in the cross sectional runs gets worse after you run 
the longitudinal steps (base and long)? That is not really possible, as these 
steps don't touch the cross data (only read from it).

If you mean that the brain mask in the long looks worse than in the cross (of 
same subject time point), then you need to check the brain mask in the base. 
That one is copied to all the longitudinal runs, so it needs to be accurate in 
the base. If it is accurate there, but still not in a specific longitudinal run 
then that indicates a mis-alignment to the base. If that is the case, the first 
thing I'd try is rename base and all longitudinals and re-run those from scatch 
to make sure it's not a hick-up (e.g. io problem).

Best, Martin


On Jun 18, 2013, at 5:16 AM, Linn Mittlestein linnmit...@gmail.com wrote:

 Dear Freesurfer group.
 
 I am having some concerns about Freesurfer and the different steps. I have 
 used version 5.0 for the cross-sectional timepoints, and I am now using 
 version 5.3 for the longitudinal processing. I am doing therefore the several 
 different steps involved in longitudinal processing, for example -base, -long 
 runs and now for the lme analysis with matlab also the smoothing steps etc. I 
 am very concerned however because looking at the brain masks after these 
 steps have been done (ie the cross-sectional runs), they look much worse than 
 they did before the longitudinal editing began; large chunks of surfaces are 
 missing. Has anybody else reported this problem? Could it be because the 
 longitudinal steps are now being done with version 5.3 as opposed to 5? 
 Surely this should not have such a large effect on the brainmasks, as to 
 completely deform them?
 
 Kind Regards,
 
 Linn
 
 
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Dr. Martin Reuter
Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone: +1-617-724-5652
Email: 
   mreu...@nmr.mgh.harvard.edu
   reu...@mit.edu
Web  : http://reuter.mit.edu 

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