dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
The inputs to antsRegistration when finding the misalignment between the fieldmap reference and the target DWI (via its b=0 reference) is currently unacceptable for our dataset ds001771.
This problem is very likely to be present in any dataset, as the b=0 reference we are using right now (work/dmriprep_wf/single_subject_36_wf/dwi_preproc_acq_AP_wf/dwi_reference_wf/enhance_and_skullstrip_dwi_wf/normalize/normalized.nii.gz) is definitely suboptimal.
Perhaps, we should move towards the new reference workflow in niworkflows, if we haven't done so yet.
The inputs to
antsRegistration
when finding the misalignment between the fieldmap reference and the target DWI (via its b=0 reference) is currently unacceptable for our dataset ds001771.This problem is very likely to be present in any dataset, as the b=0 reference we are using right now (
work/dmriprep_wf/single_subject_36_wf/dwi_preproc_acq_AP_wf/dwi_reference_wf/enhance_and_skullstrip_dwi_wf/normalize/normalized.nii.gz
) is definitely suboptimal.Perhaps, we should move towards the new reference workflow in niworkflows, if we haven't done so yet.