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Hi FS experts,
I am attempting to extract signal intensity from the middle of the cortex, using mri_vol2surf. With said surface, I would like to extract the mode (and other histogram measures) from each of the 34 parcellations of the DK atlas. I realize this needs to be done in matlab, and hence the difficulty. Would I need to first convert the segmentation volume (such as lh.aparc.annot ) into ".mgh" format, and use it with the output of mri_vol2surf which would be in ".mgh" surface format. Since I am a complete beginner to matlab exemplary code would be very helpful.
Thank you, Yash
On Wed, Mar 14, 2018 at 6:26 PM, Douglas N. Greve dgreve@mgh.harvard.edu wrote:
No, sorry. You can do it easily enough in matlab, eg
seg = MRIread('seg.mgz');
input = MRIread('input.mgz');
ind = find(seg.vol == SegNo);
segmode = mode(input.vol(ind));
[h x] = hist(input.vol(ind),100);
On 03/13/2018 07:58 PM, Yash Patel wrote:
Any updates or ideas in extracting histogram data from mri_segstats?
On Sun, Mar 11, 2018 at 1:16 PM Yash Patel <ypatel@research.baycrest.org mailto:ypatel@research.baycrest.org> wrote:
Dear all, I am using mri_segstats to obtain intensity values from each of the 34 cortical parcellations in the Desikan-Killiany Atlas; this provides metrics such as mean, min, max, range, and standard deviation. Is there a way to extract information such as the *mode*, or information to create a histogram for each of the particular regions? Thank you, Yash
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