sdcflows.workflows.fit.pepolar module¶
Datasets with multiple phase encoded directions.
- sdcflows.workflows.fit.pepolar.init_3dQwarp_wf(omp_nthreads=1, debug=False, name='pepolar_estimate_wf')[source]¶
Create the PEPOLAR field estimation workflow based on AFNI’s
3dQwarp
.This workflow takes in two EPI files that MUST have opposed PE direction. Therefore, EPIs with orthogonal PE directions are not supported.
- Workflow Graph
-
(Source code, png, svg, pdf)
- sdcflows.workflows.fit.pepolar.init_topup_wf(grid_reference=0, omp_nthreads=1, sloppy=False, debug=False, name='pepolar_estimate_wf')[source]¶
Create the PEPOLAR field estimation workflow based on FSL’s
topup
.- Workflow Graph
-
(Source code, png, svg, pdf)
- Parameters:
grid_reference (
int
) – Index of the volume (after flattening) that will be taken for gridding reference.sloppy (
bool
) – Whether a fast configuration of topup (less accurate) should be applied.debug (
bool
) – Run in debug modename (
str
) – Name for this workflowomp_nthreads (
int
) – Parallelize internal tasks across the number of CPUs given by this option.
- Inputs:
- Outputs:
fmap (
str
) – The path of the estimated fieldmap.fmap_ref (
str
) – The path of an unwarped conversion of files inin_data
.fmap_mask (
str
) – The path of mask corresponding to thefmap_ref
output.fmap_coeff (
str
orlist
ofstr
) – The path(s) of the B-Spline coefficients supporting the fieldmap.method (
str
) – Short description of the estimation method that was run.