Based on a suggestion from @renelabounek, the idea would be to compute WM/GM mean signal to understand the origin of the vendor-specific differences in GM CSA, especially from Philips (which shows low values).
To do so, the steps involved are:
- add WM seg (SC minus GM seg)
- extract signal in WM and GM
- output in csv file
- release spine-generic
- re-run processing in data-multi-subject
- compute stats + figs
- create release for data-multi-subject