🚀 scilpy 2.3.0 is out!
We're happy to announce the release of scilpy 2.3.0!
This release brings a solid mix of bug fixes, quality-of-life improvements, performance enhancements, and several new features across the toolkit. While this is a relatively incremental release, it lays important groundwork for what's coming next.
Highlights
✨ New Features
Added GPU-accelerated local deterministic tracking
New RAP parameter switching method
Added surface-related functionality
New BundleParc release
Added SF amplitude thresholding for mask creation
New visualization commands and documentation improvements
⚡ Performance & Infrastructure
Updated to DIPY 1.12/1.13
Refactored identical streamline detection using DIPY FastStreamlineSearch (FSS) and connected components
Updated GitHub Actions and dependency management
🐛 Bug Fixes & Improvements
Fixed issues affecting:
mean fixel AFD computation from HDF5
BIDS datasets with estimated total readout time
streamline ID sizing inconsistencies
visualization coloring from anatomy
FreeWater/NODDI processing edge cases
eddy/topup options
🙌 New Contributors
A warm welcome to our new contributors:
Thank you to everyone who contributed code, reviews, testing, documentation, and feedback for this release.
Full Changelog
