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Proceedings Paper

Video-based automatic and objective endoscopic sinus surgery skill assessment
Author(s): Shan Lin; Xinyu Gu; Randall A. Bly; Kris S. Moe; Blake Hannaford
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Paper 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.

Paper Details

Date Published: 16 March 2020
PDF: 8 pages
Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113152L (16 March 2020); doi: 10.1117/12.2549853
Show Author Affiliations
Shan Lin, Univ. of Washington (United States)
Xinyu Gu, Univ. of Washington (United States)
Randall A. Bly, Univ. of Washington (United States)
Kris S. Moe, Univ. of Washington (United States)
Blake Hannaford, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 11315:
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

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