[MINC-users] Power spectrum across time

[Andrew Janke]

Thanks Vladimir,

This looks pretty much akin to what I have been doing with mincfft but
more straight forward. I should integrate the MINC2 bits from this
into mincfft, I'm curious to know if it will be faster. I know that
most of the execution time of mincfft is taken up by copying arrays to
and forth due to how I was using volume_io.

a


On 30 November 2015 at 07:51,  <vladimir.fonov at gmail.com> wrote:
> Hello,
>
> I extracted the tool from my internal repository, see https://github.com/vfonov/simple_fmri_tools
> the tool that you need is called time_fft  ( https://github.com/vfonov/simple_fmri_tools/blob/master/src/time_fft.cpp ) - it will only work if the time_dimension is fastest varying.
>
>
>
>> On Nov 26, 2015, at 18:29, Andrew Janke <a.janke at gmail.com> wrote:
>>
>> Has anyone got anything for power spectrum of the time domain for
>> large MINC volumes? I don't think pyminc or octave are going to cut
>> it. The files in question are ~20GB+ in size. I could chop them up but
>> this seems counter-productive.
>>
>> I'm thinking mincfft + a bit of minccalc but if someone has something
>> specific that uses voxel_loop or something similar I'm all ears.
>>
>> Thanks
>>
>>
>> a
>> _______________________________________________
>> MINC-users at bic.mni.mcgill.ca
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>
> Best regards,
> Vladimir S. FONOV ~ vladimir.fonov <at> gmail.com
>
>
>
>
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