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Proceedings Paper

Model-based formalization of medical knowledge for context-aware assistance in laparoscopic surgery
Author(s): Darko Katić; Anna-Laura Wekerle; Fabian Gärtner; Hannes G. Kenngott; Beat P. Müller-Stich; Rüdiger Dillmann; Stefanie Speidel
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Paper Abstract

The increase of technological complexity in surgery has created a need for novel man-machine interaction techniques. Specifically, context-aware systems which automatically adapt themselves to the current circumstances in the OR have great potential in this regard. To create such systems, models of surgical procedures are vital, as they allow analyzing the current situation and assessing the context. For this purpose, we have developed a Surgical Process Model based on Description Logics. It incorporates general medical background knowledge as well as intraoperatively observed situational knowledge. The representation consists of three parts: the Background Knowledge Model, the Preoperative Process Model and the Integrated Intraoperative Process Model. All models depend on each other and create a concise view on the surgery. As a proof of concept, we applied the system to a specific intervention, the laparoscopic distal pancreatectomy.

Paper Details

Date Published: 12 March 2014
PDF: 6 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 903603 (12 March 2014); doi: 10.1117/12.2042240
Show Author Affiliations
Darko Katić, Karlsruhe Institute of Technology (Germany)
Anna-Laura Wekerle, Univ. of Heidelberg (Germany)
Fabian Gärtner, Karlsruhe Institute of Technology (Germany)
Hannes G. Kenngott, Univ. of Heidelberg (Germany)
Beat P. Müller-Stich, Univ. of Heidelberg (Germany)
Rüdiger Dillmann, Karlsruhe Institute of Technology (Germany)
Stefanie Speidel, Karlsruhe Institute of Technology (Germany)


Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes, Editor(s)

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