DaAneurismFlowDiverterEfficacy

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Quantifiable indices towards estimating hemodynamics in cerebral aneurysms and the efficacy of flow diverter deployments

The goal of this project is to implement and to evaluate metrics based on 3D DSA images as well as 2D DSA image series in order to assess the hemodynamics in cerebral aneurysms before and after the deployment of a flow diverter device. The fundamental clinical question is whether it can be determined right after such a therapeutic procedure whether the treatment will lead to a satisfying clinical outcome or not (i.e., whether the aneurysm will be closed or not).

Several approaches have already been presented; e.g.,

  • Washout coefficient analysis (SUNY)
  • TIC parameters (FAU)
  • MAFA-like indices (presented at LINC 2011)
  • Flow ratio analysis (St. Luke’s Episcopal Hospital)
  • Etc.

In this thesis, some of these approaches shall be implemented, extended, and evaluated. The results of the different metrics shall be correlated with clinical outcomes as well as with synthetic data that is based on simulations.The implementation should be done in MATLAB in order to allow for fast prototyping of the various algorithms. In parallel, a literature research focusing on related work shall be accomplished. The candidate shall be based in Forchheim most of his/her working time.

ProjectForm
Title: Quantifiable indices towards estimating hemodynamics in cerebral aneurysms and the efficacy of flow diverter deployments
Abstract: The goal of this project is to implement and to evaluate metrics based on 3D DSA images as well as 2D DSA image series in order to assess the hemodynamics in cerebral aneurysms before and after the deployment of a flow diverter device. The fundamental clinical question is whether it can be determined right after such a therapeutic procedure whether the treatment will lead to a satisfying clinical outcome or not (i.e., whether the aneurysm will be closed or not).
Student: Tobias Benz
Director: Prof. Nassir Navab
Supervisor: Richard Brosig,Markus Kowarschik,Peter Maday
Type: Master Thesis
Area: Medical Imaging, Computer Vision
Status: running
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Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 19 Apr 2012 - 12:42 - RichardBrosig