Hi @oesteban,

I am writing to you because I think you wrote these.

I am improving my DTI pre-processing pipeline.
I have been reading the ones in workflows.dmri.fsl.artifacts:
https://github.com/nipy/nipype/blob/8156eb46c4eab8cabc6458f6d79cfcaef6d6be25/nipype/workflows/dmri/fsl/artifacts.py

I was wondering if all_fsl_pipeline and all_peb_pipeline should do head motion correction before extracting the average B0 volume for brain mask. Because if you have movement between the B0s, you might get an ugly average and BET might fail. What do you think?

Thanks.