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Tracking of Instruments in Minimally Invasive Surgery for Surgical Skill Analysis

  • Stefanie Speidel
  • Michael Delles
  • Carsten Gutt
  • Rüdiger Dillmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4091)

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.

Keywords

Minimally Invasive Surgery Humanoid Robot Surgical Skill Endoscopic Image Robust Tracking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Stefanie Speidel
    • 1
  • Michael Delles
    • 1
  • Carsten Gutt
    • 2
  • Rüdiger Dillmann
    • 1
  1. 1.Institute of Computer Science and EngineeringUniversity of KarlsruheGermany
  2. 2.Department of General, Visceral and Accident SurgeryUniversity of HeidelbergGermany

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