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Auflistung nach Autor:in "Hennemuth, A."

1 - 3 von 3
  • Konferenzbeitrag
    New software assistants for cardiovascular diagnosis
    (INFORMATIK 2006 – Informatik für Menschen, Band 1, 2006) Kuehnel, C.; Hennemuth, A.; Boskamp, T.; Oeltze, S.; Bock, S.; Krass, S.; Preim, B.; Peitgen, H. -O.
    An important design criterion for current application development in cardiac image analysis is the applicability in clinical routine as well as in research environments. We present two novel applications dedicated to diagnosis support of the coronary heart disease. CT data of coronary arteries and cardiac function as well as MR data of myocardial perfusion are processed for quantitative anatomical and functional analysis. Semi-automatic segmentation methods are provided for a reliable representation of the coronary arteries and the left ventricular myocardium. Furthermore, quantitative parameters of the coronary vessels and the myocardium are computed. The novel approach is a standardization of the multi-parameter representation using advanced visualization techniques, that reveals possible correlations between vascular morphometry, ventricular function, and myocardial perfusion. Both prototypical applications are based on the visual programming and prototyping platform MeVisLab.
  • Konferenzbeitrag
    Visual classification of complicated plaques based on multidimensional image fusion
    (Informatik 2009 – Im Focus das Leben, 2009) Hennemuth, A.; Harloff, A.; Spehl, T.; Pavlov, N.; Friman, O.; Paul, D.; Elverfeldt, D. v.; Kuehnel, C.; Wirtz, S.; Goebel, H.; Mannheim, J.; Hahn, H. K.; Pichler, B.; Hennig, J.; Markl, M.
  • Konferenzbeitrag
    Web-based support of time-critical services for image-based intervention planning
    (INFORMATIK 2006 – Informatik für Menschen, Band 1, 2006) Hennemuth, A.; Bourquain, H.; Berghorn, W.; Wetzel, I.; Lang, M.; Schenk, A.; Peitgen, H.-O.
    Preoperative risk assessment for image based surgery planning often requires considerable technical and personnel resources especially for certain complex interventions, such as liver surgery. The purpose of the project SIMPL was to establish a remote service for specialized tasks in medical image analysis and the visualization of results. In this context we developed a web-based system to support the service process. Requirements included an adaption to the existing clinical infrastructure, time constraints, and quality management support. The software design is based on a process modelling concept and modern web technologies are used for an implementation that fulfills the demands regarding security and independence of special software. The prototypical system has been tested during the SIMPL project with international clinical partners and is now used in optimized form on a regular basis.