[Neuroimaging] nipy for doing volume realignment & smoothing in real time

[David Soto]

Hi,
we are planning a real time fMRi experiment and would like to use nipy to
do some preprocessing namely volume realignment of each incoming TR + some
smoothing

however by looking at the documentation. E.g:
>>> from nipype.interfaces import fsl>
>> from nipype.testing import example_data
>>> mcflt = fsl.MCFLIRT(in_file=example_data('functional.nii'),
cost='mutualinfo')
>>> res = mcflt.run()

it would seem that it would only work for  a collection of scans (i.e.the
4D file) of a run.

Would there be a way to use nipy tools to have a reference image and then
each scan that is analysed in realtime to be realigned relative to that
reference?

thanks for any feedback/suggestions!

best,
David
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/neuroimaging/attachments/20210520/3cf0fa29/attachment.html>