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MOOSE v0.1.0-rc

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@LalithShiyam LalithShiyam released this 27 Jun 09:12
· 823 commits to main since this release
8969845

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

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