Ontology-Guided Markerless Navigation and Situational Awareness for Endoscopic Surgery.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Optical navigation systems help surgeons find their way through the complex anatomy of a patient. However, such systems are accident-sensitive, time-consuming and difficult to use because of their complicated technical requirements such as the setting of optical markers and their intraoperative registration. The BIOPASS project, therefore, provides an innovative localisation system for markerless navigation in endoscopic surgery to support medical decision making. This system comprises several machine learning classifiers to recognise anatomical structures visible in the endoscopic images. To verify the data provided by these classifiers and to alert medical staff about surgical risk situations, we developed a new ontology-based software called OntoSun. Our software improves the precision and the sustainable traceability of the classifiers' results and also provides warning messages that increase situational awareness during surgical interventions.

Authors

  • Kais Tahar
    Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University.
  • Alexandr Uciteli
    Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
  • Philip Röppischer
    Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University.
  • Heinrich Herre
    Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
  • Sebastian Siemoleit
    Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Germany.