Visual Exploration of MR Data and Bloodflow for Diagnosis of Vascular Diseases

  • 2010-03-05

A pipeline of processing steps from medical image data to reliable blood flow simulation results for approaching solutions

Das Institut ür Computergraphik und Algorithmen und die Österreichische Computer Gesellschaft laden gemeinsam zum Gastvortrag:


Abstract: Based on specific problems, in neuroradiological diagnosis and interventional treatment, the talk describes a pipeline of processing steps from medical image data to reliable blood flow simulation results.This pipeline includes model generation, where a trade-off between smoothness, accuracy, low mesh complexity, and high triangle quality is required. The exploration of the resulting data is challenging since the flow data has to be put in anatomic context. Focus and context rendering and overview map visualizations are among the techniques to support medical users. In addition to provide mere diagnostic support, we also consider treatment options and discuss how to predict the outcome of therapies. This requires, for example, to include geometric models of stent geometries in the simulation. Since the talk is based on ongoing research, some portions of the talk rather reflect a preliminary state and not finished results.


  • 1989 - 1994 Computer Science Studies (Diplom-Informatiker), University of Magdeburg, Germany
  • 1994 - 1998 Research Associate at the Department of Simulation and Graphics in Magdeburg
  • 1998 Dissertation defense (Dr.-Ing.), University of Magdeburg
  • 1999 Assistant Professor at CeVis (Center for Complex Systems and Visualization) and head of the group „Computer Assisted Liver Surgery Planning“ at MeVis (Center for Medical Diagnosis System and Visualization) Bremen
  • 2002 Habilitation; Venia Legendi: Informatik, University Bremen
  • since 2003 Full Professor (C4) Applied Informatics / Visualization, Otto-von-Guericke University of Magdeburg
  • since 2003 Guest Professor, University of Bremen



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