3D Slicer

3D Slicer

3D Slicer is a free, open source software package for analysis and visualization of medical images and for research in image guided therapy. It provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data.
3D Slicer image
medical-imaging 3d-visualization image-segmentation multimodal-imaging

3D Slicer: Free Open Source Software for Medical Image Analysis

A free, open source software package for analysis and visualization of medical images and research in image guided therapy, offering functionality for segmentation, registration and three-dimensional visualization of multi-modal image data.

What is 3D Slicer?

3D Slicer is a free, open source platform for medical image computing. It provides visualization and image analysis tools for various medical imaging modalities including MRI, CT, US. Its main features include:

  • Multi-modal 2D and 3D visualization of medical image data
  • Image segmentation using both manual and semi-automated techniques
  • Registration of images from different modalities
  • Support for various image file formats like DICOM, NIfTI, NRRD
  • Ability to extend functionality using custom plug-ins
  • Python scripting interface for automation tasks

3D Slicer facilitates translational research in image-guided therapy and surgical planning. It allows clinicians, researchers and developers to quickly prototype new ideas and techniques. An active community behind 3D Slicer ensures continued improvement and adaptation for various clinical needs.

3D Slicer Features

Features

  1. 3D visualization and analysis of medical imaging data
  2. Support for a wide range of imaging modalities (MRI, CT, PET, etc)
  3. Image segmentation and registration tools
  4. Surgical planning and image-guided therapy modules
  5. Python scripting interface and plugin architecture

Pricing

  • Open Source

Pros

Free and open source

Cross-platform (Windows, Mac, Linux)

Modular design allows customization and extensibility

Large user community with many contributed modules

Integrates well with other medical software

Cons

Steep learning curve

Limited documentation and training resources

Some modules and features are experimental or unstable

Complex interface can be overwhelming for new users


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