I would just register the pet to the closest (in time) anatomical
On 11/14/2016 07:20 AM, Matthieu Vanhoutte wrote:
> 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
> <mailto: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 >
> > <mailto:greve@nmr.mgh.harvard.edu
> > <mailto:matthieuvanhoutte@> <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 >>
> > <mailto:matthieuvanhoutte@gmail.com
> <mailto:matthieuvanhoutte@gmail.com >
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 >>
> > <mailto: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 >>
> > <mailto: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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> > MGH-NMR Center
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> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> greve@nmr.mgh.harvard.edu <mailto:greve@nmr.mgh.harvard.edu >
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