Hi Donald, & Dav, As far as I know, neither Fischl et. al. nor VE et. al. has taken this task on seriously. I vaguely recall someone from MGH registering for Caret a while back with the research goal of comparing registration methods. I haven't heard anything since then, and I didn't recognize the name.
My instincts for approaching the problem are to get source, Caret deformed, and FS deformed coords all on the same mesh, and then compute distance from deformed to the source. (DVE probably would use distortion between deformed and source.) The method that minimizes distance to the source (or distortion) wins. But of course getting all on the same mesh requires registration, and you could easily introduce more error than you are measuring. I have read Arno's paper, which is interesting, but it covers volumetric algorithms (using Freesurfer in the process, though). I've shared some ideas with Arno for additional analyses he could do with this data, but he has plenty on his plate already. I believe Arno is planning to evaluate surface-based methods, but only fully automated ones. He regularly hassles me about whether our auto-landmark algorithm is ready for him to try (not yet, but maybe by August?). One can hypothesize about which method might do better for given applications. But evidence to support those hypotheses is lacking so far. It's a very important, but tough problem. Donna > Arno Klein is engaged in a fairly ambitious project of comparing > various registration algorithms. So, while it's not exactly what > you're asking about, I figure it's worth mentioning: > > http://www.mindboggle.info/ > > Check out the papers link. He uses hand-labelled data, though, so > there may be some differences with your particular needs. > > Cheers, > Dav > > On Jun 5, 2009, at 11:27 AM, MCLAREN, Donald wrote: > >> David/Donna/John: >> >> Have any of you or perhaps Bruce compared the registration >> algorithms of CARET and Freesurfer using their segments? If not, is >> there a good metric to decide what registration might be better? >> >> -- >> Best Regards, Donald McLaren >> ===================== >> D.G. McLaren >> University of Wisconsin - Madison >> Neuroscience Training Program >> Office: (608) 265-9672 >> Lab: (608) 256-1901 ext 12914 >> ===================== >> This e-mail contains CONFIDENTIAL INFORMATION which may contain >> PROTECTED HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED >> and which is intended only for the use of the individual or entity >> named above. If the reader of the e-mail is not the intended >> recipient or the employee or agent responsible for delivering it to >> the intended recipient, you are hereby notified that you are in >> possession of confidential and privileged information. Any >> unauthorized use, disclosure, copying or the taking of any action in >> reliance on the contents of this information is strictly prohibited >> and may be unlawful. If you have received this e-mail >> unintentionally, please immediately notify the sender via telephone >> at (608) 265-9672 or email. >> _______________________________________________ >> caret-users mailing list >> caret-users@brainvis.wustl.edu >> http://brainvis.wustl.edu/mailman/listinfo/caret-users > > _______________________________________________ > caret-users mailing list > caret-users@brainvis.wustl.edu > http://brainvis.wustl.edu/mailman/listinfo/caret-users > _______________________________________________ caret-users mailing list caret-users@brainvis.wustl.edu http://brainvis.wustl.edu/mailman/listinfo/caret-users
