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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
The text was updated successfully, but these errors were encountered:
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:
The text was updated successfully, but these errors were encountered: