Difference between revisions of "2009 Winter Project Week Slicer VMTK"

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<h1>Progress</h1>
 
<h1>Progress</h1>
For preparation:<br>
+
An interactive python module<br>
- ground work for making an interactive python scripted module<br>
+
skeleton has been created. Through<br>
- playing with VMTK pypes to generate some CLI VMTK scripts
+
a workaround the VMTK classes are<br>
 +
already accessible in Slicer through a<br>
 +
compiled library. Since<br>
 +
now techniques like observers and<br>
 +
callbacks are available in Slicer-Python<br>
 +
we could add the first algorithm of VMTK<br>
 +
to slicer: Fast Marching Initialization.
  
 +
<br><br>
 +
The current version of the module which can<br>
 +
be seen as an example to use the latest<br>
 +
Slicer-Python interaction techniques and<br>
 +
callbacks is always available at the following<br>
 +
NITRC repository: http://www.nitrc.org/projects/slicervmtklvlst/
  
 
</div>
 
</div>

Latest revision as of 22:23, 2 March 2009

Home < 2009 Winter Project Week Slicer VMTK
VmtkInSlicerSelectSourceAndTarget.png
VmtkInSlicerRenderedModel.png




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/