2011 Winter Project Week:StenosisDetector

• 

  Projects List

• 

  StensosisDetector Step1

• 

  StensosisDetector Step2

• 

  StensosisDetector Step3

• 

  StensosisDetector Step4

• 

  StensosisDetector Step5

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

A prototyp of the graphical user interface has been designed and implemented.

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.