3D Slicer
A software application for visualization and analysis of medical image computing data sets.
A free, open-source platform for visualizing, segmenting, registering, and analyzing medical images and 3D models.
About the Project
Why use this?
3D Slicer is a free, open-source application for medical-image computing. It supports commonly used data types including images, segmentations, surfaces, annotations, and transformations in 2D, 3D, and 4D, with desktop and virtual-reality visualization.
Bioengineers and researchers choose Slicer for DICOM handling, segmentation, registration, quantification, and image-guided research workflows. Its modular extension system, Python console, and Jupyter integration make it a powerful platform for building custom medical-imaging applications, while its distributed application is intended for research rather than clinical use. [315][316][318]
Key Features
- Medical-image visualization and analysis in 2D, 3D, and 4D
- DICOM support and broad image-format compatibility
- Segmentation, registration, quantification, and surface-model generation
- Python console, Jupyter integration, and extension ecosystem
- Desktop and virtual-reality visualization
- Reference / Repo
- https://github.com/Slicer/Slicer
- Tool / Hosted
- https://download.slicer.org/
- Replaces / Alternative to
- OsiriX, MIM, proprietary medical-image analysis platforms
- Free layer
- open-source