Hi Kan

you can give the surface-based label to mris_anatomical_stats and it will constrain it's calculations to the label (where it makes sense):

mris_anatomical_stats -l <path to your label> ...

you can probably do it with mri_segstats too - Doug will know

cheers
Bruce


On Tue, 5 Mar 2019, 310913949 wrote:


        External Email - Use Caution        

Hi bruce??
   I still have some questions about extracting cortical features of a ROI. I 
used the
mri_label2label to sample the volumetric label to the surface of the subject. 
But I dont know how to
do next, as i found that the RAS coordinates do  not correspond to the 
coordinates in the
lh.thickness, and why?
    Besides, I found the  web of how to extract cortical thickness values for a 
region-of-interest
(ROI) defined in volume
space(https://surfer.nmr.mgh.harvard.edu/fswiki/VolumeRoiCorticalThickness).But 
it doesn't report
the coordinates information. How can I get the ROI's coordinates information if 
i use this method?
    Thanks for your help!
    Kan Deng
 


------------------ Original ------------------
From:  "Bruce Fischl"<fis...@nmr.mgh.harvard.edu>;
Date:  Fri, Jan 25, 2019 10:58 PM
To:  "Freesurfer support list"<freesurfer@nmr.mgh.harvard.edu>;
Subject:  Re: [Freesurfer] How to extract cortical features of a ROI

Hi Kan

if you draw a volumetric label you first need to sample it to the surface
of that subject (mri_label2label --sample). If all you want are stats from
the subject there is no need to map it to fsaverage - that is only
necessary if you want to use a group coordinate system.

cheers
Bruce



On Fri, 25 Jan 2019,
310913949 wrote:

>
>  External Email - Use Caution
>
>
> Dear Freesurfer Experts,
>        I want to extract cortical features of a ROI that I drawn manually on  
the rawavg.mgz in
Freesurfer, but i
> don't know how to do that. I think maybe first the  lesion mask should be 
registered to the
 standard templates
> fsaverage, but I don't know what the command line is , could  you tell me?  
And secondly, I should
use
> mri_label2label to map the label to individual subject  and extract the 
cortical features of the
ROI, am I right?
>       I am looking forward to your reply!Thanks.
>
>                                                   Best wishes!
>                                                       Kan Deng
>
>
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