This release has been made to create a Zenodo archive for the first time. The repository content of this release is identical with that of Release v2.4.1.

Release [2.4.1] - 2020-09-02

New ✨

• 🆕 model: inversion_recovery
  • Add general equation fitting in addition to Barral's model.

Improvements 🚀

• GUI (JOSS review by @mfroeling)
  • Please see changes here.
• Documentation (JOSS review by @grlee77)
  • Please see changes here

Bug Fixes🐛

• FilterClas bug fix.

Other

• Change citation reference to JOSS paper
  • Karakuzu A., Boudreau M., Duval T.,Boshkovski T., Leppert I.R., Cabana J.F.,
    Gagnon I., Beliveau P., Pike G.B., Cohen-Adad J., Stikov N. (2020), qMRLab:
    Quantitative MRI analysis, under one umbrella doi: 10.21105/joss.02343

[2.4.0] - 2020-02-26

New ✨

• 🆕 model: mp2rage
  • Fit MP2RAGE data to create a T1map.
  • The original codebase is here.
  • Check out qMRLab's MP2RAGE blog post by @mathieuboudreau!
• 🆕 model: mono_t2
  • Fit MESE data to create a T2map.
• 🆕 simulator: Monte-Carlo Diffusion
  • Monte Carlo simulator for 2D diffusion is able to generate synthetic
    diffusion signal from any 2D axon packing.
  • An MRathon project by @Yasuhik, @TomMingasson and @tanguyduval.
• 🆕 Changelog ❤️

Improvements 🚀

• Model: qsm_sb
  • With the new echo combination implementation, qsm_sb can now take
    multi-echo GRE data.
  • An MRathon project by @jeremie-fouquet.
• Get rid of redundant buttons in GUI Protocol panel.

Bug Fixes🐛

• qMRgenBatch account for models w/o fixed required inputs (e.g. mp2rage).
• Remove old built packages from qmrlab/mcrgui.
• Fix qmrlab/octjn dependencies.

What is new?

• Filtering module (/processing) for B1 mapping: filtermap
• Quantitative susceptibility mapping: qsm_sb
• Magnetization transfer ratio: mt_ratio
• An intuitive ROI toolbox replaces the old display panel, providing an array of tools for the quick inspection of the fitted data and improved visualization.
• Automatic Jupyter Notebook generation (qMRgenJNB).
• A Binder badge appears for every model on the documentation, allowing users to execute the documentation with zero installation.
• Azure DevOps for building standalone qMRLab applications and creating version tagged Docker images.
• Docker image qmrlab/mcrgui to use qMRLab's GUI via Docker
• Docker image qmrlab/octjn to use qMRLab in a Jupyter Notebook (Octave)
• Bloch simulations are added for vfa_t1
• Community profile checklist has been completed

Improvements

• vfa_t1 performance improvement
• ir_t1 parameter descriptions are improved
• b1_dam protocol descriptions have been updated
• FitTempResults is now saved every five minutes instead of every 20 voxels
• GUI bug fixes

Release version 2.2.0

• Bug fixes
• General GUI improvements
• Documentation improvements
• Folder cleanup and improved project directory structure
• Data import (GUI) exception handling & warnings
• Improved colorbar location & format
• Added Coveralls.io test coverage
• Updated Travis test configurations
• [b0_dem] Save unwrapped phase as a fitting output.
• Add ISO 8601-style date/time in FitResults output directory name.
• ROI Toolbox

Major changes

• Improved automated documentation
• Automated batch examples generation
• Patching functionality retroactive compatibility
• New histogram GUI controls
• Renamed models

Minor changes

• Update NODDI toolbox 0.9 -> 1.0
• Remote data now hosted on OSF (accessible through downloadData.m)
• New Save/Load models functionality
• Histogram masking bug fix
• VFA voxel-wise functionality #105

Fix SPGR

Report bugs: https://github.com/neuropoly/qMRLab/issues
Documentation: http://qmrlab.readthedocs.io/en/master/documentation.html

Fix Yarmikh + Ramani + bSSFP "block equation" simulations

Report bugs: https://github.com/neuropoly/qMRLab/issues
Documentation: http://qmrlab.readthedocs.io/en/master/documentation.html

New data demo
Report bugs: https://github.com/neuropoly/qMRLab/issues
Documentation: http://qmrlab.readthedocs.io/en/master/documentation.html

Report bugs: https://github.com/neuropoly/qMRLab/issues
Documentation: http://qmrlab.readthedocs.io/en/master/documentation.html