2011 Summer Project Week Stenosis Detector

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  Projects List

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  Vesselness filter

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  Level set segmentation

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  Optimization of the Level set segmentation

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  Centerline computation

Key Investigators

• University of Heidelberg, Germany: Suares Tamekue
• UPenn: Daniel Haehn
• Orobix, Italy: Luca Antiga
• SPL: Ron Kikinis

Objective

We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.

Approach, Plan

Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.

The tool will be evaluated on datasets.

Progress

We changed the graphical user interface. And with the Kitware guys we clarified an issue related events handle in the wizard. During the coming weeks we will finish all remaining connections of the logic with the graphical user interface and then we will start valuating the module on datasets.

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

1. ITK Module
2. Slicer Module
   1. Built-in
   2. Extension -- commandline
   3. Extension -- loadable [X]
3. Other (Please specify)

References

• 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.
• D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.
• D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.
• 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.