v1.2.0

[kschan0214]

Release date: 11 October 2022

This back-to-back update brings you some new exciting features on SEPIA!

Toolbox related

• Support several deep learning based methods (BFRnet, xQSM, QSMnet+ and LP-CNN) on Linux
• Support atlas-based subcortical structure segmentation (CIT168 Reinforcement learning atlas, MuSus-100 and AHEAD) on Linux and macOS
• Integrate R2* mapping toolbox into SEPIA
• New function to further refine brain mask by thresholding high R2* voxels on brain edges
• When magnitude image is used for NDI, the image will be weighted by the intensity of the 99th percentile of the masked voxels instead of the maximum to improve robustness

For full details and instruction on how to setup and/or use these tools please visit the documentation website:
https://sepia-documentation.readthedocs.io/en/v1.2.0/method/qsm/QSMnet.html
https://sepia-documentation.readthedocs.io/en/v1.2.0/method/qsm/LPCNN.html
https://sepia-documentation.readthedocs.io/en/v1.2.0/method/qsm/xQSM.html
https://sepia-documentation.readthedocs.io/en/v1.2.0/method/bfr/BFRnet.html
https://sepia-documentation.readthedocs.io/en/v1.2.0/method/Analysis_segmentation.html
https://sepia-documentation.readthedocs.io/en/v1.2.0/method/R2star-algorithms.html

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This discussion was created from the release v1.2.0.