Dear SCT users,
We are happy to announce the release of SCT v7.0. ![]()
The most notable changes for this major release include:
- Feature: Overhauled
sct_deepsegsyntax, interface, and model names. View Model Gallery and pull request- Add
lesion_ms_axial_t2model tosct_deepsegfor MS lesion/SC segmentation of axial T2 images. View pull request - Add
graymattermodel tosct_deepsegfor contrast-agnostic segmentation of the gray matter. View pull request - Update
spinalcordcontrast-agnostic model to retrain from scratch using nnUNetv2 framework. View pull request
- Add
- Feature Add new CLI tool (
sct_detect_compression) to predict compression probability. View pull request - Feature: Add
-lrootletargument tosct_register_to_templateto enable rootlets-informed registration. View pull request - Feature: Add detailed time and memory profiling to all CLI scripts. View pull request
- Enhancement: Overhaul the QC report backend to use modern web technologies. View pull request
- Enhancement: Update PAM50 to include changes to
PAM50_rootlets.nii.gz(ventral rootlets, Th1 level). View pull request - Enhancement: Recompute PAM50 normalized metrics using the newest
spinalcordsegmentation model. View pull request - Installation: Adopt Miniforge environment manager to address Miniconda licensing concerns. View pull request
- Documentation: Update web tutorials to match the changes made for the 2024 SCT Course. View pull request
- Testing: Add new GitHub Actions workflow to ensure that older releases install without error. View pull request
For the full list of changes included in this release, click here.
For installation instructions, click here.
If you have any questions or feature requests, please post in this forum.
Happy processing!
The Spinal Cord Toolbox Team