ss3t_csd_beta1 batch processing error

[sugai-2021]

Hi Experts,

I tried to use ss3d_csd_beta1 to process a bunch of data (1 b-zero and 33 b values) in shell script. At the end of the processing, temporary folders were created and some errors happened. Please see the followings: )
dwi2response-tmp-C6FLMU
dwi2mask: [ERROR] failed to open key/value file "dwi2response-tmp-C6FLMU/align.mif": No such file or directory
dwi2mask: [ERROR] error opening image "dwi2response-tmp-C6FLMU/align.mif"
maskfilter: [WARNING] existing output files will be overwritten
maskfilter: [ERROR] no filename supplied to standard input (broken pipe?)
maskfilter: [ERROR] error opening image "-"
dwi2tensor: [WARNING] existing output files will be overwritten
dwi2tensor: [ERROR] failed to open key/value file "dwi2response-tmp-C6FLMU/align.mif": No such file or directory
dwi2tensor: [ERROR] error opening image "dwi2response-tmp-C6FLMU/align.mif"
tensor2metric: [WARNING] existing output files will be overwritten
tensor2metric: [ERROR] failed to open key/value file "dwi2response-tmp-C6FLMU/dt.mif": No such file or directory
tensor2metric: [ERROR] error opening image "dwi2response-tmp-C6FLMU/dt.mif"
dwi2response:
dwi2response: Note that this script makes use of commands / algorithms that have relevant articles for citation. Please consult the help page (-help option) for more information.
dwi2response:
mrinfo: [ERROR] failed to open key/value file "/media/sugai/Sugai2022/kyn_mri_datalist/dti/dti_scz40/dwi2response-tmp-C6FLMU/align.mif": No such file or directory
mrinfo: [ERROR] error opening image "/media/sugai/Sugai2022/kyn_mri_datalist/dti/dti_scz40/dwi2response-tmp-C6FLMU/align.mif"

I also combined several ROIs with specific labels (in fslmahts) to explore structural connectome between brain regions. Use the following code:
tck2connectome -symmetric -zero_diagonal -scale_invnodevol dh_tracks.tck frontostriata_atlas_tal_rest_t.nii.gz fsn_sc_ssmt.csv -out_assignment assignments_fsn_ssmt.csv
tcksample dh_tracks.tck dt_fa.mif tck_meanFA_ssmt.txt -stat_tck mean
tck2connectome -symmetric -zero_diagonal dh_tracks.tck frontostriata_atlas_tal_rest_t.nii.gz connectome_fa_ssmt.csv -scale_file tck_meanFA_ssmt.txt -stat_edge mean

The results what I got seemed a little weird. The fsn_sc_ssmt.csv seemed fine, but in the connectome_fa_ssmt.csv, there were some nan.

Any help or suggestion is highly appreciated.

Best,
Sugai