oh, I see. I would paint the folding patterns on the sphere.reg and toggle back and forth between them to see if they look right. Alternatively you could draw some sulci onto one of your datasets (this is easy to do in tksurfer) and use mri_label2label to map it to others and see if they land in the right place (central sulcus, calcarine, sylvian, etc...) On Tue, 4 Nov 2014, Caspar M. Schwiedrzik wrote:
Hi Bruce and Matt, I should specify that I am working with non-human primate data, so unfortunately, looking at the parcellations would not work. I am aligning individuals to a a custom template that I made. I was wondering whether there is maybe an output file that has something numerical on how much one surface had to be transformed to be aligned to the other. I could alternatively compute the square difference between the two surfaces, or something like that. Thanks! Caspar
2014-11-04 11:19 GMT-05:00 Bruce Fischl fischl@nmr.mgh.harvard.edu: Hi Caspar
the easiest way it so look at the parcellations and see if they are accurate. Note that we do subject-to-atlas alignment, not subject-to-subject (you get the latter by composing two atlas transforms) cheers Bruce On Tue, 4 Nov 2014, Caspar M. Schwiedrzik wrote: > Hi Freesurfers, > I was wondering whether there is a good way to assess post-hoc how well the > alignment between two surfaces was. I wouldn't like to run the alignment > again, but I could, if necessary. I would like to compare this alignment to > a bunch of other alignments to see whether it was worse than the others. > Thanks, Caspar > > >
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