2009 Winter Project Week Slicer VMTK
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Key Investigators
- Daniel Haehn (Student of Medical Informatics, University of Heidelberg)
- Luca Antiga (Medical Imaging Unit, Biomedical Engineering Department, Mario Negri Institute)
- Ron
Objective
The Vascular Modeling Toolkit (VMTK) is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels. It should be very interesting to offer such techniques in Slicer3.
Approach, Plan
VMTK provides Python pipeable scripts (PypeS) to connect various commands and/or scripts. An automated mechanism to generate non-interactive Slicer modules has already been implemented.
The plan is to write a python scripted module for Slicer3 that connects to VMTK pipes and provides the same user interaction style found in VMTK. This is necessary for interactive segmentation.
In addition, a collection of non-interactive modules relevant to segmentation and characterization of vascular networks will be generated.
Finally, Slicer-vmtk packaging issues will be tackled.
Progress
An interactive python module
skeleton has been created. Through
a workaround the VMTK classes are
already accessible in Slicer through a
compiled library. Since
now techniques like observers and
callbacks are available in Slicer-Python
we could add the first algorithm of VMTK
to slicer: Fast Marching Initialization.
The current version of the module which can
be seen as an example to use the latest
Slicer-Python interaction techniques and
callbacks is always available at the following
NITRC repository: http://www.nitrc.org/projects/slicervmtklvlst/
