The “av_space” gives the AFNI view equivalent, even for NIFTI datasets, so the options are +orig, +acpc, +tlrc. It doesn’t really tell you what space the dataset is in. You may want “3dinfo -space” instead.
I would think you want “3dinfo -space” only as the most convenient way to find the template space of a dataset, and you probably don’t need the other methods. Note, the space is assumed from either an AFNI format attribute that is attached to the dataset during alignment to a template or from sform_code r qform_code in a NIFTI dataset. These can be wrong for a variety of reasons, so you should know what operations have been performed on the datasets to be sure they are in the right template space.
So that means both my datasets should be in MNI though the header says one is in TLRC
Because I normalised that one to a MNI mask at the end of my preprocessing pipeline.
But one may be the “FSL Flavour” as I downloaded it from FSL, I guess
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.