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Yes,
I understand this. However to perform statistical analysis you need to normalize each brain into a standard space. The normalization algorithm, to superimpose correctly the gray matter of one brain to the gray matter of another one, needs to use some images that have some kind of anatomical detail in them, otherwise how could it know where a specific structure is?
While FDG images provide more than enough details to do this successfully, amyloid PET ones don't have such information.

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Da: SPM (Statistical Parametric Mapping) <[log in to unmask]> per conto di Davide Sardina <[log in to unmask]>
Inviato: venerdì 23 settembre 2016 12.33.09
A: [log in to unmask]
Oggetto: Re: [SPM] PET florbetaben normalisation SPM12 problem

Dear Luca,

thank you for your suggestion! I'm a new user of SPM.

In the future I'll add MRI to the analysis, I have only PET. The aim is to perform some quantitative statistical analysis so I only need a way to transform a dozen images into a common space then compare the results. Actually, I don't need anatomical.

Bests,
Davide


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