Hi. I am afni_proc.pying data that has already been afni_proc.pyed. Here are the blocks for afni_proc.py #1:
despike tshift align tlrc volreg mask regress
. For afni_proc.py #2, I am trying to apply
blur mask regress
and, during the regression, apply a whole brain anat mask that I have already created. I was open the redundancy of recreating it with
-mask_apply anat
, but afni_proc.py gave me an error during testing,
** ERROR: cannot apply anat mask
, despite the fact that I gave it
-copy_anat /misc/prog/afni/current.x86_64/TT_N27_SSW.nii.gz
. Therefore, I am back to Square 1. I would like to use
-mask_import LABEL MSET
, but I do not know what LABEL is (subbrick label?), I do not know if I simultaneously still need to use -mask_apply and why I need to use/how I need to use the other regress or mask options listed in the -mask_import option in afni_proc.py -help.
LABEL is a name given to the mask for other operations (e.g., ROI regression), as well as being part of the resulting file name.
The -mask_import option previously required the LABEL to be from a fixed list of pre-defined masks (epi, anat, epi_anat, group, extents).
Yesterday I expanded that to allow for user-defined mask LABELs. So with that, you can apply an option pair such as:
Unfortunately, I forgot to push this commit before building new AFNI binaries last night, so I will start a new build for this soon. It should be ready by noon or 1, probably. Then you can see whether this is what you want.
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.