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I am trying to calculate the cortical thickness of a volumetric ROI that I created that I have in subject space for every subject in my dataset. I was using https://secure-web.cisco.com/1Z5OP8XDp2iTZo4YMybrzCFH9SwKBzyQx9vsSEFhl_f6qfhbWsl0xhAi5bYwjQG5MHh7ZBs9ADbhhnZ29DoSVWVVo5AquAm8aIde3IMQMJt9EBOhJ7ZoVI_JUHIYeCdpKAP5_-cZrBLflOE536wS6M31OKaD4bqQsKfG_furvWZ4uDamocw-yUSMKK2QadGa8bUJRw5TZn9pFhy_5xypbEQZ2g25BUdE17bxwUOwwlW1dD_5ekqmwY3sClBqLaWqGJVepW7LfU0bIa2D_8DfcDkx7Bkbp-YS_5h1d5YXXY_pOh7wAebQPQQmZxXhkixsQKQBwYfdv0BEthv-Pp5S9oQ/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FVolumeRoiCorticalThickness as a guide. Since, I already have the volumes in subject space. I did a modified pipeline and only did the following for each subject: 1. mri_vol2surf --mov /path/to/ROI5.nii --regheader --projfrac-max 0 1 0.1 --interp nearest --hemi lh --out lh.ROI5.mgh 2. mri_segstats --seg $SUBJECTS_DIR/subjid/surf/lh.ROI5.mgh --in lh.thickness --sum segstats-ROI5.txt Does this make sense? Also, separately, is the volume that is also computed in this method accurate? I noticed that the volume is always equal to the number of voxels, which I assume a voxel is equal to 1mm^3? However, when looking at aseg.stats these volumes have different values from their number of voxels. Thank you, Carlos
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