Video Based Assessment of OSATS Using Sequential Motion Textures

Abstract

Abstract. We present a fully automated framework for video based surgical skill assessment that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. We replicate Ob-jective Structured Assessment of Technical Skills (OSATS) assessments, which provides both an overall and in-detail evaluation of basic sutur-ing skills required for surgeons. Video analysis techniques are introduced that incorporate sequential motion aspects into motion textures. We also demonstrate significant performance improvements over standard bag-of-words and motion analysis approaches. We evaluate our framework in a case study that involved medical students with varying levels of expertise performing basic surgical tasks in a surgical training lab setting.