qsiprep.workflows.fieldmap.drbuddi module
Correcting Susceptibility Distortion with DRBUDDI
DRBUDDI is part of the TORTOISE software that estimates and corrects susceptibility distortion. It has multiple modes of operation
Use $b=0$ images to estimate distortion.
Perform a multimodal registration using $b=0$ images and FA images. This requires two DWI series with opposite phase encoding directions
Either (1) or (2) but a t2w image is used as well
- qsiprep.workflows.fieldmap.drbuddi.init_drbuddi_wf(scan_groups, t2w_sdc)[source]
This workflow implements the heuristics to choose a SDC strategy.
- Parameters:
scan_groups (dict of distortion groupings) – Inputs configuration for distortion correction
t2w_sdc (bool) – Should a T2w image be included in the DRBUDDI run?
- Inputs:
dwi_file (str) – Path to a motion/eddy corrected DWI file (in LPS+)
bval_file (str) – Corresponding bval file for dwi_file
bvec_file (str) – Corresponding bvec file for dwi_file (in LPS+)
original_files (list) – List of the original BIDS file for each image in dwi_file
t1_brain – T1w image, brain-masked
t2_brain – T2w image, brain masked
- Outputs:
b0_ref – An unwarped b0 reference
b0_mask – The corresponding new mask after unwarping
sdc_warps – The deformation fields to unwarp the susceptibility distortions in each image in dwi_file