Tracking of instruments in minimally invasive surgery for surgical skill analysis

Authors:
Stefanie Speidel;Michael Delles;Carsten Gutt;Rüdiger Dillmann
Affiliations:
Institute of Computer Science and Engineering, University of Karlsruhe, Germany;Institute of Computer Science and Engineering, University of Karlsruhe, Germany;Department of General, Visceral and Accident Surgery, University of Heidelberg, Germany;Institute of Computer Science and Engineering, University of Karlsruhe, Germany
Venue:
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Year:
2006

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Abstract

Intraoperative assistance systems aim to improve the quality of the surgery and enhance the surgeon’s capabilities. Preferable would be a system which provides support depending on the surgery context and surgical skills accomplished. Therefore, the automated analysis and recognition of surgical skills during an intervention is necessary. In this paper a robust tracking of instruments in minimally invasive surgery based on endoscopic image sequences is presented. The instruments were not modified and the tracking was tested on sequences acquired during a real intervention. The generated trajectory of the instruments provides information which can be further used for surgical gesture interpretation.