What criteria would you use to determine one alignment was better than
another?
Peace,
Matt.
From: Caspar M. Schwiedrzik cschwie...@mail.rockefeller.edu
Reply-To: Freesurfer support list freesurfer@nmr.mgh.harvard.edu
Date: Tuesday, November 4, 2014 at 7:17 AM
To:
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
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
You can look at how well the curvature and/or sulcal maps from your
template overlay on the individual.
doug
On 11/04/2014 11:46 AM, 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
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
Thanks! But there is nothing like a number I could pull from the
registration process, e.g. the distances of the vertices in registration
space? Caspar
2014-11-04 11:51 GMT-05:00 Bruce Fischl fis...@nmr.mgh.harvard.edu:
oh, I see. I would paint the folding patterns on the sphere.reg and
toggle