Summary of what happened:
Hi everyone, I am using QSIPrep to process my diffusion MRI data.
However, it always hangs at ‘merged_qc’ node, not moving forward at all.
Command used (and if a helper script was used, a link to the helper script or the command generated):
Here is the command I was calling:
qsiprep-docker /Users/runjia/Code/data_for_test_qsiprep/THP /Users/runjia/Code/data_for_test_qsiprep/THP_out participant --output-resolution 2 --fs-license-file ~/fsl/license.txt -w /Users/runjia/Code/data_for_test_qsiprep/THP_out/qsiprep/work
Version:
Environment (Docker, Singularity, custom installation):
I ran QSIPrep using docker on OSX.
Data formatted according to a validatable standard? Please provide the output of the validator:
Relevant log outputs (up to 20 lines):
Here is the log:
221231-04:39:43,634 nipype.workflow INFO:
[Node] Finished "raw_fib_qc", elapsed time 6.986714s.
221231-04:39:44,558 nipype.workflow INFO:
[Node] Setting-up "qsiprep_wf.single_subject_01_wf.dwi_preproc_ses_1_wf.pre_hmc_wf.merge_and_denoise_wf.dwi_qc_wf.merged_qc" in "/scratch/qsiprep_wf/single_subject_01_wf/dwi_preproc_ses_1_wf/pre_hmc_wf/merge_and_denoise_wf/dwi_qc_wf/merged_qc".
221231-04:39:44,614 nipype.workflow INFO:
[Node] Executing "merged_qc" <qsiprep.interfaces.dsi_studio.DSIStudioMergeQC>
221231-04:39:44,655 nipype.workflow INFO:
[Node] Finished "merged_qc", elapsed time 0.034806s.
221231-04:39:46,708 nipype.workflow INFO:
[Node] Setting-up "qsiprep_wf.single_subject_01_wf.dwi_preproc_ses_1_wf.pre_hmc_wf.dwi_qc_wf.merged_qc" in "/scratch/qsiprep_wf/single_subject_01_wf/dwi_preproc_ses_1_wf/pre_hmc_wf/dwi_qc_wf/merged_qc".
221231-04:39:46,770 nipype.workflow INFO:
[Node] Executing "merged_qc" <qsiprep.interfaces.dsi_studio.DSIStudioMergeQC>
221231-04:39:46,828 nipype.workflow INFO:
[Node] Finished "merged_qc", elapsed time 0.051984s.
There is no error log because it did not crash, it just hangs here.
Screenshots / relevant information:
Is it possible to be a memory issue? But the problem still exists even if I set docker memory limit to 16GB.
Does anyone have a clue? Thank you in advance!