You can just run mris_preproc --meas curv --o stack.mgh ... This will give you a stack from which you can compute the mean and stddev mri_concat stack.mgh --mean --o stack.mean.mgh mri_concat stack.mgh --std --o stack.std.mgh
doug
On 09/14/2012 01:55 PM, liang wang wrote:
Dear Bruce,
Thanks for pointing me those information. That .tif file includes the mean and variance for the population sample that was used in Freesurfer. I would like to get similar measures for our own subjects. I think I could use the surface file (like surf/?h.sulc) in each subject folder to compute the mean and variance, right? Is this file already in spherical template space? Thanks again.
Best, Liang
2012/9/14 Bruce Fischl <fischl@nmr.mgh.harvard.edu mailto:fischl@nmr.mgh.harvard.edu>
Hi Liang yes, that information is encoded in the .tif file that is the target of the registration. You can use mrisp_paint to copy a frame out of $FREESURFER_HOME/average/?h.average.curvature.filled.buckner40.tif the tif file is 3 sets of triplets in different frames. The first is the mean of the measure, the second is the variance and the third is the degrees of freedom. The 3 triplets are for the curvature of the inflated surface, the sulc and mean curvature of the white surface. cheers Bruce On Thu, 13 Sep 2012, liang wang wrote: Dear FS folkers, I am working on a functional probabilistic atlas. I find that some functional regions (particular along a big sulcus) show quite high probability value over a large sample, whereas the probability for some regions are quite lower. I think this disparity could be accounted for by the anatomical variation on each surface node that appears while surface-based registering individual surface to the average template that was provided by Freesurfer. For instance, the anatomical variation could be pretty small within a big sulcus (like central sulcus). I assume that Freesurfer output a file which characterizes this type of anatomical variation. Could someone point me which file it is and how to use it to create a group-level measure in order to clear display somewhere has large variation. Thanks. Best, Liang -- Liang Wang, PhD Neuroscience of Attention and Perception Laboratory Princeton Neuroscience Institute Princeton University Princeton, NJ, 08540 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.-- Liang Wang, PhD Neuroscience of Attention and Perception Laboratory Princeton Neuroscience Institute Princeton University Princeton, NJ, 08540
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