Hi Daiana
yes, that is to be expected given the nonlinear nature of the cross-subject
registration. It shouldn't bias things, although you'll need to give us
more details if you want a more definitive answer.
cheers
Bruce
On Mon, 24 Oct 2016, Daya P wrote:
Hi All,
My question is about using mri_label2label. When mapping the labels from one
subject to another the number of vertices of each ROI is different. Is that
something to be expected?
How much of a difference does a number of vertices of 50 compare to 40 have
on measures like thickness, grey matter and surface area?
I would really appreciate some help
Thank you,
Daiana R. Pur
Research Assistant
Canadian Surgical Technologies & Advanced Robotics
Brain and Mind Institute
Western University
London, ON, N6A 5B7
Canada
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.