[Neuroimaging] CZI grant - what would you like to see in Nibabel?
thomas VINCENT
thomas.tv.vincent at gmail.com
Thu Jul 30 11:27:56 EDT 2020
Hello,
I think providing tools for multimodality would be great. The basic
experimental use case is that we have several simultaneous imaging
measures, eg fmri eeg and breathing. The first concern is to have a common
container for neuroimaging data from different modalities. The second one
is to conveniently handle temporal synchronization between measures and
then interpolation on the same temporal grid.
My one cent.
Thanks for all the great work on nibabel so far!
Thomas.
Le jeu. 30 juill. 2020 11 h 01, Matthew Brett <matthew.brett at gmail.com> a
écrit :
> Hi,
>
> Although this is pushing things close the wire, I am currently trying
> to work out whether to apply for a Chan Zuckerberg grant for Nibabel:
>
>
> https://chanzuckerberg.com/wp-content/uploads/2020/06/EOSS-3-RFA-Announcement-and-Instructions-CYCLE-3-COMBINED-1.pdf
>
> Before we do that, I wanted to ask - if y'all could get anything into
> Nibabel - what
> would it be?
>
> So far, in various conversations, Chris Markiewicz and I came up with:
>
> * More comprehensive DICOM to NIfTI etc support
> * Labelled axes for images, maybe via xarray
> * Integrated API for surface formats [1]
> * HDF5 serialization for many image formats
> * Ability to read images directly from URLs, read / write images to /
> from AWS, GCS, Azure data storage addresses [2]
> * Optimized visualization for web and desktop
>
> Is there anything else you'd like to see?
>
> See you,
>
> Matthew
>
> [1] https://github.com/nipy/nibabel/issues/936
> [2] c.f.
> https://pandas.pydata.org/pandas-docs/version/1.1.0/whatsnew/v1.1.0.html#fsspec-now-used-for-filesystem-handling
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