The best strategy will depend on what data you have. If you also have
MRI, then you could coregister your PET and MRI, segment the MRI and
use the seg_sn.mat files to spatially normalise your PET data. Then
generate an average of the spatially normalised PET data. You can do
this in ImCalc by evaluating eg
(i1+i2+i3+i4)./((i1~=0)+(i2~=0)+(i3~=0)+(i4~=0)) . You may need to
rescale your data first so that they all have roughly the same mean.
Finally smooth the average by 8mm FWHM and call it a template.
If you don't have MRI, then spatially normalise your scans to the
existing PET template (blood flow and FDG images are probably similar
enough for this), generate an average and smooth by 8mm.
Best regards,
-John
On 13 October 2011 18:51, Gonzalo Romero <[log in to unmask]> wrote:
> Dear all:
> I am a Medical Physics student from Argentina. Presently I am doing my MSc
> Final Project. It is about the statistical analysis of FDG-PET brain's
> images, using SPM8.
> In a web search I found posted the answer to the question: "How to create a
> FDG-PET template?". The website is spm's JISCmail. During the development of
> my project I have found myself with the same difficulties creating an
> appropiate template.
> Since there is has not been any update of that post, I send my concern to
> you all on this mailing list (JISCMail) and I 'd appreciate if any of you
> could send me your FDG-PET's template.
> Considering I don't have enought Normal Controls PET-MRI's candidates, to do
> a statistical confident template in the short time I have till my due date,
> is that I will really appreciate your help in this mater.
> I looking forward to hear from you.
> Best regards.
> Gonzalo
> --
>
> Gonzalo M. Romero Mascarell
> tel. +54 261 4285884
> móvil. +54 261 5782419
> P Si no es necesario no imprima este correo.
> Todos somos responsables por el cuidado del medio ambiente.
>
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