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.
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.
- Awarded the Best Paper Honorable Mention (2nd place) Award at M2CAI 2014.
- Presented at Fifth Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI) held in conjunction with Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014 Conference in Boston, MA, USA on September 14th, 2014.