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Knowledge-Driven Formalization of Laparoscopic Surgeries for Rule-Based Intraoperative Context-Aware Assistance

  • Darko Katić
  • Anna-Laura Wekerle
  • Fabian Gärtner
  • Hannes Kenngott
  • Beat Peter Müller-Stich
  • Rüdiger Dillmann
  • Stefanie Speidel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8498)

Abstract

The rise of intraoperatively available information threatens to outpace our abilities to process data and thus cause informational overload. Context-aware systems, filtering information to match the current situation in the OR, will be necessary to reap all benefits of integrated and computerized surgery. To interpret surgical situations, such systems need a robust set of knowledge to make sense of intraoperative measurements. Building on our own ontology for laparoscopy, we formalized the workflow of laparoscopic adrenalectomies, cholecystectomies and pancreatic resections and developed a novel, rule-based situation interpretation algorithm based on OWL and SWRL to recognize phases of these surgeries. The system was evaluated on ground truth data from 19 manually annotated surgeries with an average recognition rate of 89%.

Keywords

Laparoscopic Surgery Cognitive Surgery Context-Awareness 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Darko Katić
    • 1
  • Anna-Laura Wekerle
    • 2
  • Fabian Gärtner
    • 1
  • Hannes Kenngott
    • 2
  • Beat Peter Müller-Stich
    • 2
  • Rüdiger Dillmann
    • 1
  • Stefanie Speidel
    • 1
  1. 1.Institute for Anthropomatics (IFA), Humanoids and Intelligence Systems Laboratories (HIS)Karlsruhe Institute of Technology (KIT)Germany
  2. 2.Department of General, Abdominal and Transplantation SurgeryUniversity of HeidelbergGermany

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