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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Taylor, R., Stoianovici, D.: Medical Robotics in Computer-Integrated Surgery. IEEE Transactions on Robotics and Automation (2003)
Satava, R., Cuschieri, A., Hamdorf, J.: Metrics for objective assessment. Journal of Surgical Endoscopy (2003)
Lin, H., Shafran, I., Murphy, T., Okamura, A., Yuh, D., Hager, G.: Automatic Detection and Segmentation of Robot-Assisted Surgical Motions. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 802–810. Springer, Heidelberg (2005)
Rosen, J., Solazzo, M., Hannaford, B., Sinanan, M.: Objective Evaluation of Laparoscopic Skills Based on Haptic Information and Tool/Tissue Interactions. Journal of Computer Aided Surgery (2002)
Lo, B., Darzi, A., Yang, G.: Episode Classification for the Analysis of Tissue / Instrument Interaction with Multiple Visual Cues. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 230–237. Springer, Heidelberg (2003)
Mayer, H., Nagy, I., Knoll, A.: Skill Transfer and Learning by Demonstration in a Realistic Scenario of Laparoscopic Surgery. In: International Conference on Humanoid Robots (2003)
Pardowitz, M., Zöllner, R., Dillmann, R.: Incremental Acquisition of Task Knowledge Applying Heuristic Relevance Estimation. In: International Conference on Robotics and Automation (2006)
Zöllner, R., Rogalla, O., Dillmann, R., Zöllner, M.: Understanding Users Intention: Programming Fine Manipulation Tasks by Demonstration. In: International Conference on Intelligent Robots and Systems (2002)
Vogt, F., Krüger, S., Niemann, H., Schick, C.: A System for Real-Time Endoscopic Image Enhancement. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 356–363. Springer, Heidelberg (2003)
Guthart, G.S., Salisbury, J.K.: The intuitive telesurgery system: Overview and application. In: International Conference on Robotics and Automation (2000)
Phung, S., Bouzerdoum, A., Chai, D.: Skin Segmentation Using Color Pixel Classification: Analysis and Comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)
Isard, M., Blake, A.: Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision (1998)
Azad, P., Ude, A., Dillmann, R., Cheng, G.: A Full Body Human Motion Capture System using Particle Filtering and on-the-fly Edge Detection. In: International Conference on Humanoid Robots (2004)
Azad, P.: Integrating Vision Toolkit (IVT), http://ivt.sourceforge.net
Deutscher, J., Blake, A., Reid, I.: Articulated body motion capture by annealed particle filtering. In: International Conference on Computer Vision and Pattern Recognition (2000)
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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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