Nibabies

Latest version: v23.1.0

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24.0.0

============

24.0.0a1

* MAINT: Update to latest migas API (326)
* 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)

23.1.0

============
The next minor release of *NiBabies*, this release includes a number of new goodies, including:

New surface reconstruction option
M-CRIB-S (Adamson et al., https://www.nature.com/articles/s41598-020-61326-2), has shown to improve performance in participants under 9 months. If you would like to try this method, add the following to your command: `--surface-recon-method mcribs`.

Note: Currently, a T2w image and pre-computed segmentation derivative must be provided to run mcribs.

Improved batch processing
*NiBabies* now automatically parses the BIDS directory for participant ages, first searching in the
participant's `session.tsv`, and falling back to `participants.tsv`. This simplifies batch submissions including multiple subjects & sessions. As a result, the `--age-months` flag has been deprecated, and will be removed in a later release.

Goodvoxels projection
An option to determine and exclude high-variance voxels from being projected to the surface when creating CIFTI files. To enable this, add `--project-goodvoxels` to your command.

Single anatomical processing
Running *NiBabies* is now less restrictive, and will still process data missing either a T1w / T2w image. However, for best results, it is recommended to collect and include both for processing.

Anat-specific derivatives inputs
Previous, *NiBabies* expected input from the `--derivatives` flag to be in T1w space, using the entity `space-orig`. This has now been changed to support derivatives in either T1w or T2w space. For more information, please see https://nibabies.readthedocs.io/en/23.1.0/faqs.html#leveraging-precomputed-results


Full Changelog
* CI: Purge codecov python package (282)
* DKR: Upgrade Docker base, c3d (275)
* DKR: Add M-CRIB-S to Docker container (283)
* DKR: Update dependencies, split into multi-stage build
* ENH: Add option to exclude projecting high variance voxels to surface (278)
* ENH: Resample morphometrics to fsLR CIFTI-2 files when outputing CIFTIs (279)
* ENH: Add MCRIBReconAll as alternative surface reconstruction method (283)
* ENH: Reorder anatomical processsing, run ANTs DenoiseImage on anatomicals (286)
* ENH: Extract participant ages from BIDS sources, deprecate `--age-months` (287)
* ENH: Dilate BOLD mask by 2 voxels to prevent over-aggressive masking degrading T2star map estimation (296)
* ENH: Allow precomputed derivatives in T1w or T2w space (305)
* ENH: Add separate workflow for single anatomical processing (316)
* FIX: Improve free memory estimation (284)
* FIX: Ensure age is extracted from sessions file (291)
* FIX: Restore CIFTI medial wall masking, subcortical volume LAS reorientation (298)
* FIX: Recify "goodvoxels" surface projection (301)
* FIX: Connect derivatives mask to mcribs recon (323)
* MAINT: Drop TemplateFlowSelect patches (290)

23.0.0

=========================
New year, new *NiBabies* minor series!
Some of the highlights of this release include:
- New run-wise BOLD reference generation, prioritizing single-band references if available, unless avoided with the `--ignore sbrefs` flag.
- New output: Preprocessed T2w in T1w space.

A full list of changes can be found below.

Full Changelog
* ENH: Runwise bold reference generation (268)
* ENH: Add preprocessed T2w volume to outputs (271)
* MAINT: Drop versioneer for hatch backend, fully embrace pyproject.toml (265)
* MAINT: Rotate CircleCI secrets and setup up org-level context (266)
* CI: Bump convenience images, limit datalad (267)
* FIX: Remove legacy CIFTI variant support (264)

22.2.0

==========================
The final *NiBabies* minor series of 2022!
Some highlights of the new additions in this release series includes:
- surface morphometrics outputs, including cortical thickness
- T2star maps for multiecho data, projected to target output spaces

This series will be the last to support Python 3.7.

A full list of changes can be found below.

Full Changelog
* FIX: Remove cortex masking during vol2surf sampling (258)
* ENH: Improve migas telemetry (257)
* CI: GitHub actions update (256)
* ENH: Add morphometric outputs (255)
* ENH: Output T2star maps for multiecho data (252)
* FIX: Use the binarized output from the brain extraction (246)
* DOC: Add long description including background/significance (243)
* CI: Fix docker credential error (244)
* DOC: Advertise nipreps community pages, add section on contributions (242)

22.1.3

===========================
This patch release includes a vital fix for susceptibility distortion correction on multi-echo data.

* FIX: Field name for multi-echo fieldmap correction (233)

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