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@github-actions github-actions released this 05 Nov 18:20
· 87 commits to master since this release
6.1
3e7dc3d

This minor release of SCT has been developed in preparation for the 2023-10-20 SCT Course. It contains a significant update to the PAM50 template, important documentation improvements, and many other bugfixes and tweaks.

Notable changes include:

  • Feature: Update PAM50 template link to include cord and lumbar label changes. View pull request
  • Feature: Add function to output the axial damage ratio for sct_analyze_lesion. View pull request
  • Documentation: Add tutorial for sct_compute_compression View pull request
  • Documentation: Add tutorial for lumbar segmentation and registration. View pull request
  • Documentation: Update Docker installation instructions for Linux/macOS/Windows. View pull request
  • Maintenance: Remove -s functionality from sct_warp_template and add a deprecation warning. View pull request
  • Bugfix: Fix distorted registration due to straightening bug in get_closest_to_absolute. View pull request
  • Bugfix Use pandas for .csv saving in sct_compute_compression to correctly merge existing output metric columns. View pull request

Full release notes and Changelog

Results of batch_processing.sh on Ubuntu 20.04 
~~~
Version:         git-master-f5a46f328fe797b3d7c0e3844e17ad3f8add5ee1
Ran on:          Linux fv-az619-734 5.15.0-1050-azure
Duration:        0hrs 26min 56sec
---
t2/csa_c2c3.csv:     73.87711295363036  [Row 1, MEAN(area)]
t2/csa_pmj.csv:      73.89298021190447  [Row 1, MEAN(area)]
t2/csa_pam50.csv:    34.25734847835911  [Row 39, MEAN(area)]
t2s/csa_gm.csv:      12.48783482885619  [Row 4, MEAN(area)]
t2s/csa_wm.csv:      64.93830702088245  [Row 4, MEAN(area)]
mt/mtr_in_wm.csv:    54.39463563966487  [Row 1, MAP()]
dmri/fa_in_cst.csv:  0.7793857114020448 [Row 1, WA()]
dmri/fa_in_cst.csv:  0.775688329824498  [Row 2, WA()]
~~~
Results of batch_processing.sh on macOS 11 (Big Sur) 
~~~
Version:         git-master-f5a46f328fe797b3d7c0e3844e17ad3f8add5ee1
Ran on:          Darwin Mac-1699196155540.local 20.6.0
Duration:        0hrs 28min 56sec
---
t2/csa_c2c3.csv:     73.87711295363036  [Row 1, MEAN(area)]
t2/csa_pmj.csv:      73.89298021190447  [Row 1, MEAN(area)]
t2/csa_pam50.csv:    34.25734847835911  [Row 39, MEAN(area)]
t2s/csa_gm.csv:      12.487834828856178 [Row 4, MEAN(area)]
t2s/csa_wm.csv:      64.93830702088249  [Row 4, MEAN(area)]
mt/mtr_in_wm.csv:    54.41599937353151  [Row 1, MAP()]
dmri/fa_in_cst.csv:  0.7807687336793107 [Row 1, WA()]
dmri/fa_in_cst.csv:  0.774647306583997  [Row 2, WA()]
~~~
Results of batch_processing.sh on Windows 2019 
~~~
Version:         git-master-f5a46f328fe797b3d7c0e3844e17ad3f8add5ee1
Ran on:          MINGW64_NT-10.0-17763 fv-az981-219 3.4.7-25de8b84.x86_64
Duration:        0hrs 22min 58sec
---
t2/csa_c2c3.csv:     73.87711295363036  [Row 1, MEAN(area)]
t2/csa_pmj.csv:      73.89298021190447  [Row 1, MEAN(area)]
t2/csa_pam50.csv:    34.25734847835911  [Row 39, MEAN(area)]
t2s/csa_gm.csv:      12.487834828856178 [Row 4, MEAN(area)]
t2s/csa_wm.csv:      64.93830702088248  [Row 4, MEAN(area)]
mt/mtr_in_wm.csv:    54.39462068731342  [Row 1, MAP()]
dmri/fa_in_cst.csv:  0.7793857115174943 [Row 1, WA()]
dmri/fa_in_cst.csv:  0.7756883298906552 [Row 2, WA()]
~~~
Assets 5