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RF: Move to fit/apply workflow #360
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Merging this in now as it's been delayed long enough - updates to the circle smoke test + documentation will be done in separate PRs |
mgxd
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Aug 30, 2024
24.0.0 (August 29, 2024) This major release includes a substantial refactoring of the pipeline. One key addition is the addition of the `--level` flag, which can take the arguments minimal, resampling or full. The default is full, which should produce nearly the same results as previous versions. minimal will produce only the minimum necessary to deterministically generate the remaining derivatives. resampling will produce some additional derivatives, intended to simplify resampling with other tools. The `--derivatives` flag was altered to take arguments in the form `name=/path/to/dir`. For each directory provided, if a derivative is found - it will be used instead of computing it from scratch. If a derivative is not found, NiBabies will compute it and proceed as usual. Taken together, these features can allow a dataset provider to run a minimal NiBabies run, targeting many output spaces, while a user can then run a `--derivatives` run to generate additional derivatives in only the output spaces they need. Another use case is to provide an precomputed derivative to override the default NiBabies behavior, enabling easier workarounds for bugs or experimentation with alternatives. Another new feature is a dynamic anatomical reference, which is set based on surface reconstruction method or through the `--reference-anatomical` flag. Previously, T1w was the default output space. Now, the reference anatomical is determined based on the surface reconstruction method. Additionally, minor adjustments have been made to MCRIBS surface reconstruction to address failure rates. This is still an on-going investigation, but preliminary results look promising. This release resolves a number of issues with fieldmaps inducing distortions during correction. Phase difference and direct fieldmaps are now masked correctly, preventing the overestimation of distortions outside the brain. Additionally, we now implement Jacobian weighting during unwarping, which corrects for compression and expansion effects on signal intensity. To disable Jacobian weighting, add `fmap-jacobian` to the `--ignore` argument. Finally, a new resampling method has been added, to better account for susceptibility distortion and motion in a single shot resampling to a volumetric target space. We anticipate extending this to surface targets in the future. * FIX: nest pathlib import in fix_multi_source_name (#365) * FIX: Avoid retrieving multiple templates from latest TF (#353) * FIX: Raise informative error if no t1w or t2w found (#347) * FIX: Easier pyenv usage (#342) * FIX: Catch nonexistent derivatives, clean up subworkflow logic (#336) * FIX: Use fsLR reg sphere for MCRIBS morphometrics resampling (#334) * FIX: T2star map MNI scaling (#320) * ENH: Alter outputs when MCRIBS reconstruction is used (#329) * ENH: Use nireports for Report generation + add reportlet per reconstruction (#328) * ENH: better repr for Derivatives class (#351) * RF: Move to fit/apply workflow (#360) * RF: Replace `resource_filename` with `load_data` (#345) * MAINT: Bump urllib3 from 2.0.3 to 2.0.7 (#319) * MAINT: Raise minimum to 3.10, bump actions (#337) * MAINT: Bump pillow from 9.5.0 to 10.0.1 (#317) * MAINT: Update to latest migas API (#326) * DOC: Use correct argument flag (#338) * DOC: Move to new theme, add outputs description (#383)
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The goal of this PR is mirror workflow changes in fMRIPrep, splitting the processing into "fit" and "apply" modes.
This is still a work-in-progress.
New features:
--level {minimal, resampling, full}
to specify levels of outputs:minimal
produces anatomical template, mask, anatomical -> template registrations, surface reconstruction. These can then be further processed and/or manually edited and reused as--derivatives
inputs.full
produces all outputs, like previous versions of nibabiesIncreased control in the use of previously computed derivatives
Selective anatomical reference preference with
--reference-anatomical
flagExample MCRIBS derivatives input and command
Generating surfaces with MCRIBS still requires precomputed segmentations - this is an example directory layout that can be used:
sub-01_ses-1mo_desc-preproc_T2w.nii.gz
is a denoised and INU corrected image, and is used asspace-T2w
. Theaseg
andmask
are in that image space.Closes #87, #218, #288, #294, #307