3D Slicer Enabled Research
3D Slicer is a free open source software package distributed under a BSD style license for analysis, integration, and visualization of medical images. 3D Slicer allows even those with limited image processing experience to effectively explore and quantify their imaging data for hypothesis-driven research.
The community that relies on 3D Slicer is large and active:
- 425,000+ downloads in the past seven years ( 113,000+ in the last year)
- 7,300+ citations on Google Scholar (as of October, 2018)
- https://na-mic.github.io/ProjectWeek/ 30+ events in open source hackathon series] continuously running since 2005
- 4000+ cancer research citations on Google Scholar (as of October 2018) (prostate (1000+), brain (2,320+), lung (1,310+), and breast (1010+)
The following is a sample of the research performed outside of our immediate collaboration community. That community is represented in the publication database.
We invite you to provide information using our discussion forum on how you are using 3D Slicer to produce peer-reviewed research. Information about the scientific impact of this tool is helpful in raising funding for the continued support.