It would be more elegant (and probably easier) to define your ROI in the MNI space and create a mask which you can use in the last step (i.e. randomise).
Ave,
Auer, Tibor M.D. Ph.D.
MRC Cognition and Brain Sciences Unit
15 Chaucer Road
Cambridge
CB2 7EF
United Kingdom
Phone/Work: +44-(0)1223-355294 (ext. 869)
Mobile: +44-(0)7906-863837
Mail: [log in to unmask]
-----Original Message-----
From: FSL - FMRIB's Software Library [mailto:[log in to unmask]] On Behalf Of Thien Bao
Sent: Tuesday, January 08, 2013 1:59 PM
To: [log in to unmask]
Subject: [FSL] TBSS for ROI
Dear all,
I am a new one of TBSS. Currently, my main focus is to find the difference between two populations in some regions of interest (ROIs).
I have an FA dataset (both patient, and control) and two ROIs (each region has the center coordinate (x,y,z) in image space and the radius r).
My plan for using TBSS in my case is that:
1. Create the spheres in each FA image using (x,y,z) and r --> get a new dataset for both patient and control 2. Run the TBSS on the new dataset (step 1 to step 4 as in the guide http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/TBSS/UserGuide)
I wonder that this strategy is reasonable for finding the difference or not?
Thank you for your help.
Regards,
|