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Slicer User Orientation

Slicer is an open-source software platform for the analysis and visualization of medical images and for research in image guided therapy.

The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks.

Segmented model of the LA, RA, PV and septal wall of the heart, with the colour map representing the GII at different locations. Red represents points with low GII, while blue represents points with high GII. See Jayender J., Patel R.V., Michaud G.F., Hata N. Optimal Transseptal Puncture Location for Robot Assisted Left Atrial Catheter Ablation. Int J Med Robot. 2011 Jun;7(2):193-201. PMID: 21538767. for more info.

Slicer is available on multiple operating systems (Windows, MAC, Linux).

Get Slicer

• Slicer is free open source software and is distributed under a BSD license. Please read the Slicer License Agreement, if you use Slicer.
• Compiled binaries are accessible through the Slicer Download page.

Training and Documentation

The Training page provides a series of courses for learning how to use Slicer4. The portfolio contains self-guided presentation and sample data sets.

Reference manual style documentation for Slicer4 can be found on the Slicer Wiki.

Support

Feature requests and bug reports can be posted on the Slicer Bug Tracker.

Please contact the Slicer Users Mailing List for questions related to the software, archives of slicer-users and subscription management tools.

Citing Slicer

Please cite the Slicer web site (http://www.slicer.org) and the following publications when publishing work that uses or incorporates Slicer.

• Slicer 4
  • 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. Magn Reson Imaging. 2012 Nov;30(9):1323-41. PMID: 22770690.
• Slicer 3
  • Pieper S., Lorensen B., Schroeder W., Kikinis R. The NA-MIC Kit: ITK, VTK, Pipelines, Grids and 3D Slicer as an Open Platform for the Medical Image Computing Community. Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2006; 1:698-701.
  • Pieper S., Halle M., Kikinis R. 3D SLICER. Proceedings of the 1st IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2004; 1:632-635.
• Slicer2
  • Gering, David T., Arya Nabavi, Ron Kikinis, Noby Hata, Lauren J. O'Donnell, W. Eric L. Grimson, Ferenc A. Jolesz, Peter M. Black, and William M. Wells. An integrated visualization system for surgical planning and guidance using image fusion and an open MR. Journal of Magnetic Resonance Imaging 13, no. 6 (2001): 967-975.
  • Gering D.T., Nabavi A., Kikinis R., Grimson W..E.L., Hata N., Everett P., Jolesz F.A., Wells III W.M. An Integrated Visualization System for Surgical Planning and Guidance using Image Fusion and Interventional Imaging. Int Conf Med Image Comput Comput Assist Interv. 1999;2:809-819.

Quick Links

Information about Slicer 2.6 and Slicer 3.x