The MeVisLab example networks provided in the Examples section on this page may be used freely by participants of the IEEE Visualization 2007 tutorial: “Introduction to Visual Medicine: Techniques, Applications, and Software”. The material is used to demonstrate “Visual Programming for Prototyping of Medical Imaging Applications” by Felix Ritter. All other materials may only be used with the proper reference:
© 1998–2007 Dirk Bartz, Klaus Mueller, Felix Ritter, Bernhard Preim, and Karel Zuiderveld
Innovation Center Computer Assisted Surgery, Stony Brook University, MeVis Research GmbH, University of Magdeburg, and Vital Images, Inc.
The tutorial's main page is located at the University of Magdeburg.
Tutorial Notes
MeVisLab
You need MeVisLab 1.5 or better to experiment with the examples. Some of the examples require version 1.5.2 or better. Grab your free copy of MeVisLab from the following location:
MeVisLab Download (available for Mac OS X, Windows, and Linux)
Examples
To run an example, start MeVisLab and load a MeVisLab network file (extension .mlab).
- Contour Segmentation Objects (MeVisLab 1.5.2 required)
Use the Contour Segmentation Objects (CSO) to draw and modify contour objects in 2d and 3d. The contours may be used for manual segmentation or to refine an automatic segmentation result - GLSL Volume Raytracer
Use the MeVisLab SoShader GLSL extension modules to Open Inventor to build a volume raycaster with editable look-up table using visual prototyping only - ITK Integration
Shows the use of ITK modules in MeVisLab; use the ITK watershed module to segment image data - VTK Integration
Shows the intergration of VTK in MeVisLab; also demonstrates the fusion of Open Inventor and VTK with the SoVTK module, both worlds can be used together with MeVisLab - Graphical Programming
This example demonstrates the control of a filter chain with a custom graphical user interface scripted using the MeVisLab definition language - MPR Demo Application
Demonstrates a more complex user interface; 2d orthographic views are combined with a multiplanar reformatted view (MPR) and a 3d volume rendering of the same dataset. A valid SDK license is required to use Javascript or Python to add dynamic features