Just bumping to the top to see if anyone has ideas about comparing 0.8mm vs. 1mm data using the long stream.

Dear FS Experts,

I’m trying to compare multiple T1-weighted sequences taken across multiple scanners in the same day in 15 individuals using the longitudinal stream.

One question we had was how different cortical thickness estimates would be using a 0.8mm^3 resolution vs. our standard 1mm^3 MPRAGE.

Unfortunately, during the initial long-stream norm fusion, the –hires enabled 0.8mm data has a mismatch in dimensions compared to the standard 1mm data.

Given this limitation -- what would be the best way to compare these two sequences?

Thanks,
Adam