I’m currently trying to analyse a DTI dataset with tractoflow. It’s a dataset containing 123 participants, structured as instructed on the documentation page (although I first made the mistake that I thought S1 was to reflect session 1 rather than participant 1). When I run the analyses, I get the error
" … NOTE: Process ‘Bet_Prelim_DWI (participant_folder)’ terminated with an error exit status (127) – execution retired (1)"
I think this indicates that the program can’t find the Bet_Prelim_DWI function… but I’m not sure how to correct this! Any help is greatly appreciated.
Happy holidays,
Jochem
Thanks for getting back to me! I retried to run the analyses again, and behold… it works! No clue what changed, but i’m happy it runs.
Unfortuantely, it now fails at de Eddy correction step ( "NOTE: ‘Eddy ([ppn folder name])’ terminated with an error exit status 137 – execution is retried (1) ". It also shows that 4 out of 6 participants (so far) failed.
I found online, this might be a memory issue?
I’m running the analyses on a standalone laptop (HP probook 450 G3, 8GB RAM, i7-6500 2.50GZ processor). Data is stored locally on the laptop (i still have about 90gb free space). The command is poster below.
Is there a way to allocate more/less memory for the proces? Or another solution alltogether?
I don’t think it is relevant, but i don’t have reverse coded b0-images, so TopUp can’t be run. I know this is related to Eddy correction, but the documentation says this step should be skipped automatically.
The thing is that I have previously run eddy corrections on this laptop. So it should be able to run the analysis. I noticed it runs the ‘n4’ step on the T1 image in parallel, thus consuming RAM for that as well. Is there a way to postpone this step so all resources can go to the eddycorrection step?
In this case, you can limit the number of thread that TractoFlow use. You can set --processes 4 in your command line. At the maximum, the pipeline will take 4 cpus and your RAM taken will be lower.
However, I highly recommend to have a computer with 16G of RAM to run TractoFlow.
Unfortunately, the --processes 4 doesn’t change anything and i still get the same error message. I will try updating the RAM to 16gb by temporarily using the RAM from an identical laptop.