Paper in MICCAI 2014 workshop on M2CAI on “Video Based Assessment of OSATS Using Sequential Motion Textures”


Yachna Sharma, Vinay Bettadapura, Thomas Ploetz, Nils Hammerla, Sebastian Mellor, Roisin McNaney, Patrick Olivier, Sandeep Deshmukh, Andrew Mccaskie, Irfan Essa

Video Based Assessment of OSATS Using Sequential Motion Textures Best Paper Proceedings Article

In: Proceedings of Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), 2014.

Abstract | Links | BibTeX | Tags: activity assessment, awards, best paper award, computer vision, medical imaging, surgical training


A fully automated framework for video-based surgical skill assessment is presented that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. The Objective Structured Assessment of Technical Skills (OSATS) assessments is replicated, which provides both an overall and in-detail evaluation of basic suturing skills required for surgeons. Video analysis techniques are introduced that incorporate sequential motion aspects into motion textures. Significant performance improvement over standard bag-of-words and motion analysis approaches is demonstrated. The framework is evaluated in a case study that involved medical students with varying levels of expertise performing basic surgical tasks in a surgical training lab setting.

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