Hi Martin and all,
I am about to process a large longitudinal dataset (normal development, no patients) and wanted to ask about the best (i.e., time efficient) strategy for troubleshooting.
If I understand correctly from https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalEdits, it might be OK in my case (only little longitudinal changes expected) to only edit the base runs and transfer those edits to the long runs. So I thought of doing the following:
- use the QA tools to export detailed snapshots of all base runs - check the snapshots for errors - use Freeview to add control points / edit white matter in brainmask.mgz of the base runs (while simultaneously checking whether those edits would make sense in brainmask.mgz of all long runs of the same subject) - rerun base - rerun longs
Does that make sense?
Thanks,
Janosch