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Proceedings Paper

Recognition of risk situations based on endoscopic instrument tracking and knowledge based situation modeling
Author(s): Stefanie Speidel; Gunther Sudra; Julien Senemaud; Maximilian Drentschew; Beat Peter Müller-Stich; Carsten Gutt; Rüdiger Dillmann
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Paper Abstract

Minimally invasive surgery has gained significantly in importance over the last decade due to the numerous advantages on patient-side. The surgeon has to adapt special operation-techniques and deal with difficulties like the complex hand-eye coordination, limited field of view and restricted mobility. To alleviate these constraints we propose to enhance the surgeon's capabilities by providing a context-aware assistance using augmented reality (AR) techniques. In order to generate a context-aware assistance it is necessary to recognize the current state of the intervention using intraoperatively gained sensor data and a model of the surgical intervention. In this paper we present the recognition of risk situations, the system warns the surgeon if an instrument gets too close to a risk structure. The context-aware assistance system starts with an image-based analysis to retrieve information from the endoscopic images. This information is classified and a semantic description is generated. The description is used to recognize the current state and launch an appropriate AR visualization. In detail we present an automatic vision-based instrument tracking to obtain the positions of the instruments. Situation recognition is performed using a knowledge representation based on a description logic system. Two augmented reality visualization programs are realized to warn the surgeon if a risk situation occurs.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69180X (17 March 2008); doi: 10.1117/12.770385
Show Author Affiliations
Stefanie Speidel, ITEC Univ. Karlsruhe (Germany)
Gunther Sudra, ITEC Univ. Karlsruhe (Germany)
Julien Senemaud, ITEC Univ. Karlsruhe (Germany)
Maximilian Drentschew, ITEC Univ. Karlsruhe (Germany)
Beat Peter Müller-Stich, Univ. of Heidelberg (Germany)
Carsten Gutt, Univ. of Heidelberg (Germany)
Rüdiger Dillmann, ITEC Univ. Karlsruhe (Germany)

Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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