Hi Doug,

I want to derive a single averaged PET volume from the three reconstructed 5 min acquisitions, expressed in detected counts. Then we will divide the counts based on the cerebellum. Following that, I want to use PetSurfer for partial volume correction and GLM comparisons. May I upload the 3 images per subject?

Thank you.

-- 
Shane S

On 9 March 2017 at 16:18:33, Douglas N Greve (greve@nmr.mgh.harvard.edu) wrote:

How are you planning on analyzing the different time points?


On 03/08/2017 05:33 PM, Shane S wrote:
> Dear Doug,
>
> My PET data is 3 x 5 minute acquisitions. Each subject has
> subject123_a.nii.gz, subject123_b.nii.gz, subject123_c.nii.gz and I am
> supposed to align and average them.
>
> Please advise.
>
> Thanks!
>
> --
> Shane Schofield
>
> On 8 March 2017 at 22:31:06, Douglas Greve (greve@nmr.mgh.harvard.edu
> <mailto:greve@nmr.mgh.harvard.edu>) wrote:
>
>> No, the template is a within subject template used for registration.
>> If your pet data only has one frame (eg, FDG SUV), then you don't
>> need to run mri_convert or mri_concat, just use your pet image as the
>> template
>>
>>
>> On 3/8/17 11:11 AM, Shane S wrote:
>>> Hello Freesurfer,
>>>
>>> I have 3 PET images per individual. I am learning PetSurfer based on
>>> the Greve et al., 2014 paper.
>>>
>>> On the PetSurfer link, there are 2 methods.
>>>
>>> mri_convert pet.nii.gz —frame frameno template.nii.gz
>>> or
>>> mri_concat pet.nii.gz --mean —0 template.nii.gz
>>>
>>> What are the differences? My files are listed as
>>> subject123_a.nii.gz, subject123_b.nii.gz, subject123_c.nii.gz
>>>
>>> Is "mri_concat subject123_a.nii.gz, subject123_b.nii.gz,
>>> subject123_c.nii.gz —mean —o template.nii.gz” correct?
>>>
>>> Thank you for helping.
>>>
>>> Best Wishes,
>>>
>>> S
>>> --
>>> Shane Schofield
>>>
>>>
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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
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