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OK. Two follow-up questions.
1. What structures should I add up to get supratentorial? Are they just in aseg or do I also need aparc? 2. Isn't supratentorial volume calculated differently than simply adding up individual aseg lables? The reason I ask is that on this page https://surfer.nmr.mgh.harvard.edu/fswiki/MorphometryStats it notes that a specific method is used for supratentorial volume calculation.
Thanks
On Thu, May 31, 2018 at 3:35 PM, Douglas Greve dgreve@mgh.harvard.edu wrote:
No, you'll have to pick out each of the segmentation numbers and use mri_binarize with the --match option
On 5/31/18 3:27 PM, James Gullickson wrote:
External Email - Use CautionSorry I wasn't clear. Yes, I would like to see it with all the non-STV removed, in order to see exactly what the supratentorial segmentation is including. So creating a mask would be ideal. Is there a match # for supratentorialvol and supratentorialvolnotvent to use in mri_binarize? I don't see one on this table https://surfer.nmr.mgh. harvard.edu/fswiki/FsTutorial/AnatomicalROI/FreeSurferColorLUT
On Wed, May 30, 2018 at 12:59 PM, Douglas N. Greve <dgreve@mgh.harvard.edu
wrote:
I'm not sure what you mean. You can just use freeview to load the aseg. Or do you want all the non-STV removed? If that, you can create a mask of STV using mri_binarize and --match run on the aseg.mgz, then use mri_mask aseg.mgz stvmask.mgz aseg-stvonly.mgz
On 05/30/2018 11:56 AM, James Gullickson wrote:
All,
Is there any way to graphically visualize the segmentations for SupraTentorialVol and SupraTentorialVolNotVent, for example in freeview or tkmedit? Based on the descriptions I have read for the supratentorial values, I want to use them for an analysis. However, I would like to visualize them in my data set for QA purposes to ensure they are capturing what I think they are capturing.
Thanks,
James
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