Model-based formalization of medical knowledge for context-aware assistance in laparoscopic surgery

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Darko Katić - , Karlsruher Institut für Technologie (Autor:in)
  • Anna Laura Wekerle - , Universität Heidelberg (Autor:in)
  • Fabian Gärtner - , Karlsruher Institut für Technologie (Autor:in)
  • Hannes G. Kenngott - , Universität Heidelberg (Autor:in)
  • Beat P. Müller-Stich - , Universität Heidelberg (Autor:in)
  • Rüdiger Dillmann - , Karlsruher Institut für Technologie (Autor:in)
  • Stefanie Speidel - , Karlsruher Institut für Technologie (Autor:in)

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.

Details

OriginalspracheEnglisch
TitelMedical Imaging 2014
Herausgeber (Verlag)SPIE - The international society for optics and photonics, Bellingham
ISBN (Print)9780819498298
PublikationsstatusVeröffentlicht - 2014
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Band9036
ISSN1605-7422

Konferenz

TitelMedical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Dauer18 - 20 Februar 2014
StadtSan Diego, CA
LandUSA/Vereinigte Staaten

Externe IDs

ORCID /0000-0002-4590-1908/work/163294072

Schlagworte

Schlagwörter

  • Cognition Guided Surgery, Knowledge Engineering, Situation Interpretation