Dear neuroimaging community,
We are happy to announce the release of SCT v7.0.
The most notable changes for this major release include:
- Feature: Overhauled
sct_deepseg
syntax, interface, and model names. View Model Gallery and pull request- Add
lesion_ms_axial_t2
model tosct_deepseg
for MS lesion/SC segmentation of axial T2 images. View pull request - Add
graymatter
model tosct_deepseg
for contrast-agnostic segmentation of the gray matter. View pull request - Update
spinalcord
contrast-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
-lrootlet
argument tosct_register_to_template
to 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
spinalcord
segmentation 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 the SCT forum.
Happy processing!
The Spinal Cord Toolbox Team