Ontology-based prediction of surgical events in laparoscopic surgery

Darko Katić; Anna-Laura Wekerle; Fabian Gärtner; Hannes Kenngott; Beat Peter Müller-Stich; Rüdiger Dillmann; Stefanie Speidel

doi:10.1117/12.2007895

15 March 2013 Ontology-based prediction of surgical events in laparoscopic surgery

Darko Katić, Anna-Laura Wekerle, Fabian Gärtner, Hannes Kenngott, Beat Peter Müller-Stich, Rüdiger Dillmann, Stefanie Speidel

Author Affiliations +

Proceedings Volume 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling; 86711A (2013) https://doi.org/10.1117/12.2007895
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Context-aware technologies have great potential to help surgeons during laparoscopic interventions. Their underlying idea is to create systems which can adapt their assistance functions automatically to the situation in the OR, thus relieving surgeons from the burden of managing computer assisted surgery devices manually. To this purpose, a certain kind of understanding of the current situation in the OR is essential. Beyond that, anticipatory knowledge of incoming events is beneficial, e.g. for early warnings of imminent risk situations. To achieve the goal of predicting surgical events based on previously observed ones, we developed a language to describe surgeries and surgical events using Description Logics and integrated it with methods from computational linguistics. Using n-Grams to compute probabilities of followup events, we are able to make sensible predictions of upcoming events in real-time. The system was evaluated on professionally recorded and labeled surgeries and showed an average prediction rate of 80%.

Citation Download Citation

Darko Katić, Anna-Laura Wekerle, Fabian Gärtner, Hannes Kenngott, Beat Peter Müller-Stich, Rüdiger Dillmann, and Stefanie Speidel "Ontology-based prediction of surgical events in laparoscopic surgery", Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86711A (15 March 2013); https://doi.org/10.1117/12.2007895

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