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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Speidel, S., Delles, M., Gutt, C., Dillmann, R. (2006). Tracking of Instruments in Minimally Invasive Surgery for Surgical Skill Analysis. In: Yang, GZ., Jiang, T., Shen, D., Gu, L., Yang, J. (eds) Medical Imaging and Augmented Reality. MIAR 2006. Lecture Notes in Computer Science, vol 4091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812715_19
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DOI: https://doi.org/10.1007/11812715_19
Publisher Name: Springer, Berlin, Heidelberg
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