Hi Kate,
first you can check (and fix) the surface in the base. They are mapped
from there to the time points, so improving the base will have an effect
on both time points.
checking surface placement can only be done by opening the images and
surfaces manually. If you want to avoid that, you can run an ROI
analysis on cortical regions and look for outliers but you'll miss cases
that way.
Best, Martin
On 03/31/2015 12:55 AM, Kate Riggall wrote:
Hello all,
I am running a 2 time point longitudinal analysis of some structural
brain images. I have noticed that there is some issues with the
cortical surface reconstruction, i.e. some grey matter not recognised
etc. As this is a short project, I do not have time to fix each image
manually, but what I would like to be able to do is check whether
there is at least a good match between time points within each
subject. Is there an automated way to do this that would be more
efficient than checking each subject manually?
Thanks in advance,
Kate Riggall
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--
Dr. Martin Reuter
Instructor in Neurology
Harvard Medical School
Assistant in Neuroscience
Dept. of Radiology, Massachusetts General Hospital
Dept. of Neurology, Massachusetts General Hospital
Research Affiliate
Computer Science and Artificial Intelligence Lab,
Dept. of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology
A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129
Phone: +1-617-724-5652
Email:
mreu...@nmr.mgh.harvard.edu
reu...@mit.edu
Web : http://reuter.mit.edu
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