Hello,
Summary of what happened
We have ran ASLprep (v.0.7.2) on our data. We are wondering why aslprep is performing 3dUnifize -clfrac 0.2 -rbt 18.3 65.0 90.0 -prefix uni.nii.gz -T2 -input. We have read that 3dUnifize is mainly intended for t1 or t2 data (AFNI program: 3dUnifize). These images are impacting the mask, which is then applied to our cbf map. For which reason is 3dUnifize in aslref? How it may be improving processing?
Command used (and if a helper script was used, a link to the helper script or the command generated):
aslprep \
neurodesktop-storage/heartybrain/BIDS \
neurodesktop-storage/heartybrain/BIDS/derivatives/aslprep \
participant \
--participant-label sub-897\
--force-bbr \
--basil \
--ignore t2w \
--fs-subjects-dir /Users/heartybrain/neurodesktop-storage/heartybrain/BIDS/derivatives/freesurfer/sourcedata/freesurfer_pre/sourcedata \
--bids-filter-file neurodesktop-storage/heartybrain/BIDS/BIDS_filter_file.json \
--fs-license-file neurodesktop-storage/heartybrain/BIDS/license.txt \
-vv \
-w neurodesktop-storage/heartybrain/BIDS
Version:
0.7.2
Environment (Docker, Singularity / Apptainer, custom installation):
Docker
Data formatted according to a validatable standard? Please provide the output of the validator:
PASTE VALIDATOR OUTPUT HERE
Relevant log outputs (up to 20 lines):
PASTE LOG OUTPUT HERE
Screenshots / relevant information:
Below I am showing two examples of the outputs of this command:
