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Segmentation and Navigation Support of Clinical Data Sets to Simulate the Bronchoscopy and Rhinoscopy

  • Christian Dold
  • Ulrich Bockolt
  • Marcus Roth
  • Claus Peter Heussel
  • Jan Gosepath
  • Georgios Sakas
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 114)

Abstract

A training and simulation system for therapy planning is developed based on patient specific imaging data. A real endoscope is used for navigation through the virtual patient. For this purpose sensors were built in the endoscope in order to track the translation, rotation and the angle of the distal end. Pre-processing (segmentation, tissue characterization) speeds-up the volume rendering up to real-time. Collision detection enables a realistic fly through the virtual patient.

Keywords

Collision Detection Individual Patient Data Bronchial Tree Virtual Patient Bronchial Wall 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Christian Dold
    • 1
    • 4
  • Ulrich Bockolt
    • 1
  • Marcus Roth
    • 1
  • Claus Peter Heussel
    • 2
  • Jan Gosepath
    • 3
  • Georgios Sakas
    • 1
  1. 1.Cognitive Computing and Medical ImagingFraunhofer Institut für Graphische Datenverarbeitung (IGD)Darmstadt
  2. 2.Diagnostische und Interventionelle RadiologieThoraxklinik-Heidelberg gGmbHHeidelberg
  3. 3.HNO-KlinikUniversität MainzMainz
  4. 4.ComputerGraphik & WissensVisualisierungTU GrazGraz

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