Improved surface/volume map translation for NeuroVault

[Remi-Gau]

Submitted by CBIG group*

NeuroVault is an easy to use web database for brain statistical maps, atlases and parcellation maps. Currently, NeuroVault only accepts data that have been transformed into MNI space. With accurate surface/volume map translation, these data can also be utilised by people working on the surface (e.g. fsaverage space); surface space also provides better visualisation for cortical data. Our group recently published an accurate nonlinear MNI152/Colin27-fsaverage mapping method (Registration Fusion), which can be integrated to NeuroVault to provide surface/volume map translation.

The steps to achieve this goal:

1. Identify software dependencies for the Registration Fusion (RF) project
2. Find out where the RF functions should be added (e.g. what existing script would call the RF functions)
3. Port the RF project to Python
4. Do we also need to add visualization for surface data?
5. Add test or example data if needed

This will benefit people who are using NeuroVault.