Dear AFNI experts,
I am relatively new to AFNI and afni_proc.py, and am trying to use proc.py to combine transformations. More specifically, I am trying to take our slice-timing corrected dataset and simultaneously transform the subject’s functional data into standard space, using the same parameters from the previous transformation while also maintaining the resolution of the functional data, and perform the second volume registration.
This is my afni_proc.py script so far:
afni_proc.py -subj_id 20180328 \
-script 20180328.tcsh \
-out_dir Results \
-dsets /home/user/Test/Datasets/20161028_0406_f1_f2_v1_am_r1_r2_st.nii \
-blocks align tlrc volreg \
-copy_anat /home/user/Test/Datasets/anat.nii \
-tcat_remove_first_trs 0 \
-anat_has_skull yes \
-align_opts_aea -Allineate_opts -warp shift_rotate \
-align_opts_aea -giant_move \
-tlrc_opts_at -apar /home/user/Test/Datasets/anat_tl.nii \
-tlrc_opts_at -dx 2.5 -dy 2.5 -dz 2.4 \
-volreg_align_to first \
-volreg_align_e2a \
-volreg_tlrc_warp \
-bash
After executing the generated script, I receive this error:
cat_matvec anat_ns+tlrc::WARP_DATA -I
** ERROR: THD_read_dvecmat: can't find attribute WARP_DATA in dataset anat_ns+tlrc
** FATAL ERROR: Can't read matrix from 'anat_ns+tlrc::WARP_DATA'
Also, when looking at the generated script, it looks as though -giant_move isn't executed at all. Any guidance would be greatly appreciated!
