Documentation/4.8/Announcements
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For the latest Slicer documentation, visit the read-the-docs. |
| Slicer 4.8 | What is 3D Slicer | Citing Slicer |
Slicer 4.8
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The community of Slicer developers is proud to announce the release of Slicer 4.8 is now available for download. |
The development of 3D Slicer—including its numerous modules, extensions, datasets, pull requests, patches, issues reports, suggestions—is made possible by users, developers, contributors and commercial partners around the world. This development is funded by various grants and agencies.
For more details, please see the 3D Slicer Acknowledgments page.
Please note that Slicer continues to be a research package and is not intended for clinical use.
Testing of functionality is an ongoing activity with high priority, however, some features of Slicer are not fully tested.
What is 3D Slicer
3D Slicer is:
- A software platform for the analysis (including registration and interactive segmentation) and visualization (including volume rendering) of medical images and for research in image guided therapy.
- A free, open source software available on multiple operating systems: Linux, MacOSX and Windows
- Extensible, with powerful plug-in capabilities for adding algorithms and applications.
Features include:
- Multi organ: from head to toe.
- Support for multi-modality imaging including, MRI, CT, US, nuclear medicine, and microscopy.
- Bidirectional interface for devices.
There is no restriction on use, but Slicer is not approved for clinical use and intended for research. Permissions and compliance with applicable rules are the responsibility of the user.
For details on the license see here
Citing Slicer
To acknowledge 3D Slicer as a platform, please cite the Slicer web site (http://www.slicer.org) and the following publication:
Fedorov A., Beichel R., Kalpathy-Cramer J., Finet J., Fillion-Robin J-C., Pujol S., Bauer C., Jennings D., Fennessy F., Sonka M., Buatti J., Aylward S.R., Miller J.V., Pieper S., Kikinis R. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012 Nov;30(9):1323-41. PMID: 22770690.
