Video-based automatic and objective endoscopic sinus surgery skill assessment

Shan Lin; Xinyu Gu; Randall A. Bly; Kris S. Moe; Blake Hannaford

doi:10.1117/12.2549853

16 March 2020 Video-based automatic and objective endoscopic sinus surgery skill assessment

Shan Lin, Xinyu Gu, Randall A. Bly, Kris S. Moe, Blake Hannaford

Author Affiliations +

Proceedings Volume 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 113152L (2020) https://doi.org/10.1117/12.2549853
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

There is an increasing need for automatic and objective surgical skill assessment methods to make the surgeon training process more effective. We studied an automatic skill assessment system based on the surgical instrument tip trajectories extracted from cadaveric trans-nasal endoscopic sinus surgery videos. We proposed a tracking algorithm by combining a segmentation-based instrument tip detector and Kalman filter. For surgical skill assessment, we explored four new motion-related metrics. The proposed method has been tested with 10 surgery videos from 4 experts and 5 trainees and shown its potential for the automatic surgical skill assessment.

Citation Download Citation

Shan Lin, Xinyu Gu, Randall A. Bly, Kris S. Moe, and Blake Hannaford "Video-based automatic and objective endoscopic sinus surgery skill assessment", Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113152L (16 March 2020); https://doi.org/10.1117/12.2549853

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