Dear Freesurfer's experts,

I come back to you concerning questions of registrations.

Since during the longitudinal process each --long subject directory has been registered onto the common --base template, shouldn't I:

1) Register PET data onto the subject cross-sectional directory (native data) with rigid-body transformation
2) Then take into account the registration between --cross and --long directory subject and apply the registration to the PET first registered onto native space ? In this case, how and where is this transformation has been saved ?

Best regards,
Matthieu

2016-09-30 23:05 GMT+02:00 Douglas N Greve <greve@nmr.mgh.harvard.edu>:
Yes


On 09/30/2016 05:05 PM, Matthieu Vanhoutte wrote:
>
> Hi Douglas,
>
> Does the surface of the closest MRI time point mean the surface of the
> -long subject time point directory rather than cross-sectional subject
> time point directory ?
>
> Best regards,
> Matthieu
>
>
> Le 30 sept. 2016 9:14 PM, "Douglas N Greve" <greve@nmr.mgh.harvard.edu
> <mailto:greve@nmr.mgh.harvard.edu>> a écrit :
>
>     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>
>     <mailto: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>
>     <mailto: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>
>     <mailto: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
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>     --
>     Douglas N. Greve, Ph.D.
>     MGH-NMR Center
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