MeVisLab represents a platform for image processing research and development with a focus on medical imaging. It allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments.

MeVisLab includes advanced medical imaging modules for segmentation, registration, volumetry, and quantitative morphological and functional analysis. Several clinical prototypes have been realized on the basis of MeVisLab, including software assistants for neuro-imaging, dynamic image analysis, surgery planning, and vessel analysis.

The implementation of MeVisLab makes use of a number of well known third-party libraries and technologies, most importantly the application framework Qt, the visualization and interaction toolkit Open Inventor, the scripting language Python, and the graphics standard OpenGL.

MeVisLab has originally been created and developed by Fraunhofer MEVIS (formerly MeVis Research). Since the transfer of MeVisLab to MeVis Medical Solutions in 2008, the further development and advancement of MeVisLab as well as the communication with the MeVisLab users community is pursued as a joint effort between MeVis Medical Solutions and Fraunhofer MEVIS. A part of the modules contained in the MeVisLab distribution are directly contributed by Fraunhofer MEVIS.

• Basic image processing algorithms and advanced medical imaging modules
• Full featured, flexible 2D/3D visualization and interaction tools
• High performance for large datasets
• Modular, expandable C++ image processing library
• Graphical programming of complex, hierarchical module networks
• Object-oriented GUI definition and scripting
• Full scripting functionality using Python and JavaScript
• DICOM support and PACS integration
• Intuitive user interface
• Integrated movie and screenshot generation for demonstration purposes
• Generic integration of the Insight Toolkit (ITK) and the Visualization Toolkit (VTK)
• Cross-platform support for Windows, Linux, and MacOS X
• Available for 64-bit operating systems