MOOSE v0.1.0-rc
Pre-release
Pre-release
·
823 commits
to main
since this release
What's Changed
- The source code has been made modular to ensure maintainability.
- MOOSE now generates log files for each run, which makes it easier to debug.
- The output messages are much cleaner and organised, with clean progress bars.
- FSL dependency is completely removed. We use nibabel now.
- MOOSE now creates a stats folder which contains the following metrics in a '.csv' file:
- SUV (mean, max, std, max, min) values, if PET images are provided
- HU units (mean, max, std, max, min)
- Volume metrics from CT
- MOOSE now has a binary classifier (fastai-based) which figures out if a given PET volume has a brain in the field-of-view, works most of the times.
- Automated affine alignment between PET/CT, if both images are present. Just to ensure spatial alignment.
New Contributors
- @LalithShiyam made their first contribution in #4
- @Keyn34 made their first contribution in #11
Full Changelog: https://github.com/QIMP-Team/MOOSE-v0.1.0/commits/moose-v0.1.0-rc
** To-do:
- Docker image for the current version