That does seem like a lot of computations. Why not pick a random individual, register to that and then remove the group average effect of registration, retaining the improved alignment across subjects while eliminating the bias caused by the initial subject?
Peace, Matt. From: <[email protected]<mailto:[email protected]>> on behalf of John Griffiths <[email protected]<mailto:[email protected]>> Date: Saturday, April 1, 2017 at 2:09 PM To: "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>> Subject: [HCP-Users] most typical subject for FA registration? Hello. I was wondering if anyone has done the all-to-all TBSS registration step on FA images from the WU-Minn data to find the most typical subject for two-step FNIRT FA registration? If so would it be possible to get the most typical subjects' IDs? This would save me (and I'm sure many others) a very hefty analysis step. Ta, john -- Dr. John Griffiths Post-Doctoral Research Fellow Rotman Research Institute, Baycrest Toronto, Canada and Honorary Associate School of Physics University of Sydney _______________________________________________ HCP-Users mailing list [email protected]<mailto:[email protected]> http://lists.humanconnectome.org/mailman/listinfo/hcp-users ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
