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

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skeleton has been created. Through<br>
 
skeleton has been created. Through<br>
 
a workaround the VMTK classes are<br>
 
a workaround the VMTK classes are<br>
already accessible in Slicer. Since<br>
+
already accessible in Slicer through a<vr>
 +
compiled library. Since<br>
 
now techniques like observers and<br>
 
now techniques like observers and<br>
 
callbacks are available in Slicer-Python<br>
 
callbacks are available in Slicer-Python<br>
the connection of the GUI and the<br>
+
we could add the first algorithm of VMTK<br>
algorithms should be ready soon.
+
to slicer: Fast Marching Initialization.
  
 
</div>
 
</div>

Revision as of 17:02, 9 January 2009

Home < 2009 Winter Project Week Slicer VMTK



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<vr> 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.