Re: [Freesurfer] Visualizing individual ROI labels

2014-10-05 Thread Bruce Fischl

Hi Elissa,

you can load the labels into tksurfer or freeview and give them whatever 
color you like. Is that what you are trying to do? I think that's how Rahul 
created the figures in that paper.


cheers
Bruce


On Sat, 4 Oct 2014, Elissa McIntosh wrote:


Hello freesurfer experts,

I am hoping that someone can tell me how I can create 3D representations of
individual cortical ROIs  (labels based on the Desikan/Killiany Atlas) to be
used in figures. I'm trying to make figures that show the ROIs that I
investigated (like this figure in Desikan et al. paper 
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0012853)
. I know that I can manually make a label in qdec, but I was hoping that
there was an automated method to highlighting individual labels/ROIs.

Thank you,
Elissa

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[Freesurfer] Gyrification index vs cortical surface area

2014-10-05 Thread Knut J Bjuland
Dear FreeSurfer experts

I have run analyses on gyrification index. I was wondering if anybody 
could tell me what exactly is the relationship between gyrification 
index and cortical area. My gyrification results and area results are to 
a large extent similar. Am I measuring approximately the same thing?



Thank you

Knut Jørgen Bjuland

PhD candidate

The Norwegian University of Science and Technology (NTNU)

Trondheim, Norway ___
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[Freesurfer] rawfunc2surf-sess with a limited set of surface files

2014-10-05 Thread Reza Rajimehr
Hi,

I want to use rawfunc2surf-sess to project the functional data onto the
surface in the source subject and then in the target subject. My source
subject has been processed in Freesurfer. However, my target subject has
been processed in Caret, so I do not have all the surface files for the
target subject. To get rawfunc2surf-sess to work for my situation, I have
to make some minor changes in its code. By looking at the code, I realized
that rawfunc2surf-sess calls mri_vol2surf for mask and raw data, then it
calls mris_fwhm to smooth raw data within mask. I am describing the
changes that I have to make in these two commands, plus a specific
question for each change:

1) mri_vol2surf includes the --cortex flag. Since I do not have
cortex.label in the target subject, I am removing this flag. Would this be
problematic later on? I will eventually do specific analyses on the
occipito-temporal vertices in Matlab. Since I have lobar labels in the
target subject, I can select/mask those vertices later on.

2) For the source subject, I have the white and pial surfaces. For the
target subject, I have the midthickness surface which is somewhere between
white and pial. I am adding --surf midthickness in mri_vol2surf to specify
the target surface to be midthickness (instead of white). Will this be a
problem when the source subject does not have such surface?

3) There is --projfrac 0.5 in mri_vol2surf. The help says "When [the
projfrac is] set at 0.5 with the white surface, this should sample in the
middle of the cortical surface. This requires that a ?h.thickness file
exist for the source subject". I have the thickness file in the source
subject - though I don't have it in the target subject. Does 'projfracing'
happen only for the source subject?

4) I assume that mris_fwhm will work fine for my situation, unless it
requires the white surface in the target subject. Which file is used in
mris_fwhm for extracting the vertices coordinates?

Thanks in advance for your advice,
Reza
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Re: [Freesurfer] White matter and white matter lesions

2014-10-05 Thread Leise Borg
Hi Douglas

Thanks for your answers. 
I have two more questions: 
1) In which file(s) do I find the labels 151-255? 
2) What do the columns of zeros and the numbers 64, 112, 160, 208 and 255 in 
your answer mean?

Leise

-Original Message-
From: Douglas Greve [mailto:gr...@nmr.mgh.harvard.edu] 
Sent: 4. oktober 2014 18:22
To: Leise Borg; freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] White matter and white matter lesions


On 10/4/14 12:35 AM, Leise Borg wrote:
> So - just to be sure - if I take labels 2, 7, 41, and 46 from aseg.mgz, then 
> I have ALL white matter in the entire brain?
You should also add 251-255
251 CC_Posterior0   0   64  0
252 CC_Mid_Posterior0   0   112 0
253 CC_Central  0   0   160 0
254 CC_Mid_Anterior 0   0   208 0
255 CC_Anterior 0   0   255 0

>
> And another question: I also need the white matter hypointensities. Until 
> now, I used label 77 of aparc.a2009s+aseg.mgz. Is that sufficient? Or should 
> I use the aseg.mgz file for this too?
That is sufficient
>
> -Leise
>
> -Original Message-
> From: Douglas N Greve [mailto:gr...@nmr.mgh.harvard.edu]
> Sent: 3. oktober 2014 18:55
> To: Leise Borg; Freesurfer@nmr.mgh.harvard.edu
> Subject: Re: [Freesurfer] White matter and white matter lesions
>
>
> Those are the only WM labels present in the aseg. You may or may not want to 
> include brain stem as WM.
>
>
> On 10/03/2014 04:03 AM, Leise Borg wrote:
>> Hi again
>>
>> Labels 7 and 46 in the aseg-file gives me the cerebellum white matter
>> - which I can see from the aseg.stat-file. From the list at 
>> http://www.slicer.org/slicerWiki/index.php/Slicer3:Freesurfer_labels 
>> I can see that I also need the labels 2 and 41. It looks ok to me 
>> when I plot it, but can I be sure that it gives me all white matter 
>> (NOT white matter hypointensities)? I can see that there are several 
>> other labels referring to white matter, such as label 219, 223, 3000 
>> etc. Do those labels point at subsets of the labels 2 and 41 (and 7 and 46)?
>>
>> -Leise
>>
>> *From:*Leise Borg
>> *Sent:* 3. oktober 2014 08:48
>> *To:* 'gr...@nmr.mgh.harvard.edu'
>> *Subject:* Re: [Freesurfer] White matter and white matter lesions
>>
>> Hi Douglas
>>
>> Thanks a lot for your answer. I will definitely do that. Can you tell 
>> me how I load this aseg.stats file into Matlab? I do not have 
>> FreeSurfer downloaded on my own computer. Do I need that to load this 
>> file?
>>
>> -Leise.
>>
>> Why not just use the values in aseg.stats?
>>
>> On 10/01/2014 07:44 AM, Leise Borg wrote:
>>
>>> Hi FreeSurfer
>>> I am working on a project concerning Alzheimer's patients and I need 
>>> to know the positions of white matter (WM) and white matter lesions
>>> (WML) from your segmentations.
>>> To find the WML, I use label 77 in the aparc.a2009s+aseg.mgz-files.
>>> To find the WM, I use labels 2 and 41 in the ribbon.mgz-files and 
>>> subtract the ventricles by subtracting labels: 4, 5 14, 15, 43 44 
>>> found in the aseg.mgz-files.
>>> However, in the two sets of positions - one for WML and one for WM 
>>> -there is an overlap. It is not big, but it is there.
>>> Can you help me finding the true WML- and WM-segmentations?
>>> With kind regards, Leise.



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