Difference between revisions of "Cortical Thickness"
From Brain Development & Education Lab Wiki
(→Freesurfer Segmentation) |
|||
Line 14: | Line 14: | ||
Freesurfer is a useful tool for segmenting a T1-weighted image and building a cortical mesh. To segment the subject's T1-weighted image using freesurfer from the command line type: | Freesurfer is a useful tool for segmenting a T1-weighted image and building a cortical mesh. To segment the subject's T1-weighted image using freesurfer from the command line type: | ||
recon-all -i /home/projects/anatomy/[subid]/t1_acpc_.nii.gz -subjid [subid] -all | recon-all -i /home/projects/anatomy/[subid]/t1_acpc_.nii.gz -subjid [subid] -all | ||
+ | We will follow the steps outlined in the [[https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/LongitudinalTutorial|Freesurfer Wiki]] for analyzing cortical thickness |
Revision as of 21:35, 2 November 2015
Page describing how we analyze cortical thickness with freesurfer
Create a T1 weighted nifti image for the subject
Step 1: In a terminal, convert the PAR/REC files to nifti images. You may not need to do this if you have already gone through the Anatomy Pipeline
cd /home/projects/MRI/[subid] parrec2nii -c -b *.PAR
Step 2: In MATLAB compute the root mean squared (RMS) image. Once again this might have already been done in the Anatomy Pipeline so you can re-use that RMS image
T1path = 'Path to t1 weighted image'; T1path = mri_rms(T1path); % Root mean squared image
Freesurfer Segmentation
Freesurfer is a useful tool for segmenting a T1-weighted image and building a cortical mesh. To segment the subject's T1-weighted image using freesurfer from the command line type:
recon-all -i /home/projects/anatomy/[subid]/t1_acpc_.nii.gz -subjid [subid] -all
We will follow the steps outlined in the [Wiki] for analyzing cortical thickness