There is no such long process for PET. The idea is that you process the MRI in a longitudinal way, then sample the PET data onto the surface of the closest MRI time point. Then proceed in a way similar to the thickness analysis
On 09/29/2016 11:08 AM, Matthieu Vanhoutte wrote:
Dear Freesurfer's experts,
Could you answer me about my last question with no response in the mail below ?
When using cortical thickness in longitudinal analysis with LME, we used lh.thickness or rh.thickness from -long subject directories. These data followed particular processing steps including registrations in order to use them with more precision in longitudinal studies, didn't they ?
My problem is that I would like to perform longitudinal study on PET data images with LME. So I wonder if I just have to resample onto -long cortical subject surface ? Do I need to follow the same steps than cortical thickness from cross-sectional to -long subject directories ? If this is the case, which commands should I use to mimic cortical thickness longitudinal data ?
Many thanks in advance for helping !
Best regards, Matthieu
2016-09-18 23:02 GMT+02:00 Matthieu Vanhoutte <matthieuvanhoutte@gmail.com mailto:matthieuvanhoutte@gmail.com>:
Hi Martin, Thanks for your answer. However, it seems to me that cortical thickness follow a particular process with the recon-all -long process, isn’t it ? Is there any resample onto average time subject then other operation following ? Best regards, Matthieu > Le 18 sept. 2016 à 16:26, Martin Reuter <mreuter@nmr.mgh.harvard.edu <mailto:mreuter@nmr.mgh.harvard.edu>> a écrit : > > Hi Matthieu, > > I never used PET data, but once you manage to resample you pet data onto the surface, you will have a file similar to the thickness file for each subjects. Instead of thickness it holds you PET information. From that point on everything should be identical to the thickness analysis. > > So this is really more a question how to get your PET data sampled onto the surface. If no one else replies, write that into the subject line and repost. > > Best, Martin > > >> On Sep 17, 2016, at 7:37 AM, Matthieu Vanhoutte <matthieuvanhoutte@gmail.com <mailto:matthieuvanhoutte@gmail.com>> wrote: >> >> Dear Freesurfer’s experts, >> >> I would like to use the longitudinal mixed-effects model for surface PET analysis. Although I could find all the process to follow the longitudinal analysis of cortical thickness, I couldn’t resolve the steps/commands to apply successively to coregistered PET data on T1 MRI. >> >> Could you precise me the process and commands to use for PET longitudinal analysis ? >> >> Many thanks in advance ! >> >> Best regards, >> Matthieu >> _______________________________________________ >> Freesurfer mailing list >> Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer> >> >> > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer> > > > The information in this e-mail is intended only for the person to whom it is > addressed. If you believe this e-mail was sent to you in error and the e-mail > contains patient information, please contact the Partners Compliance HelpLine at > http://www.partners.org/complianceline <http://www.partners.org/complianceline> . If the e-mail was sent to you in error > but does not contain patient information, please contact the sender and properly > dispose of the e-mail.
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