Modules:VMTKSlicerModule
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Module Name
VmtkSlicerModule
General Information
Module Type & Category
Type: GUI-less loadable module
Category: Extension
Authors, Collaborators & Contact
- Author: Daniel Haehn, University of Heidelberg
- Supervisor: Luca Antiga, Mario Negri Institute
- Contact: Daniel Haehn, haehn@bwh.harvard.edu
Module Description
This GUI-less loadable module provides the libraries of the Vascular Modeling Toolkit (http://www.vmtk.org/) in 3D Slicer.
It is part of the NA-MIC VMTK Collaboration.
Official project page: http://www.vmtk.org/Main/VmtkIn3DSlicer
Usage and Installation
TODO manual install TODO extension
Examples, Use Cases & Tutorials
After installing the library, the following Python scripted modules can be installed and used.
VMTKLevelSetSegmentation - providing level-set segmentation of vessels, aneurysms and tubular structures using different algorithms
VMTKVesselEnhancement - providing vessel enhancement filters to highlight vasculature or tubular structures
Development
Source code
The complete source code is available at a NITRC SVN repository.
The most important files are the following:
- CMakeLists.txt to include the vtkVmtk libraries during compilation
- vtkVmtkSlicerModuleLogic.cxx to initialize the generated Tcl wrapper classes of the vtkVmtk libraries
Since the Tcl initialization is performed, the vtkVmtk library can also be accessed from Python in 3D Slicer.
Known bugs
Follow this link to the VMTK in 3D Slicer bug tracker.
More Information
Acknowledgment
This work was funded by a charitable grant of the Thomas-Gessmann Foundation part of the Founder Federation for German Science.
References
- Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.
- Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.