Paper in M2CAI 2014 (MICCAI Workshop): “Video Based Assessment of OSATS Using Sequential Motion Textures”

Paper

Y. Sharma, V. Bettadapura, Thomas Ploetz, N. Hammerla, S. Mellor, R. McNaney, P. Olivier, Sandeep Deshmukh, A. Mccaskie, and I. Essa (2014), “Video Based Assessment of OSATS Using Sequential Motion Textures,” in Proceedings of Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), 2014. (Best Paper Honorable Mention Award) [PDF] [BIBTEX]

@InProceedings{ 2014-Sharma-VBAOUSMT,
author  = {Yachna Sharma and Vinay Bettadapura and Thomas
Ploetz and Nils Hammerla and Sebastian Mellor and
Roisin McNaney and Patrick Olivier and Sandeep
Deshmukh and Andrew Mccaskie and Irfan Essa},
awards  = {(Best Paper Honorable Mention Award)},
booktitle  = {{Proceedings of Workshop on Modeling and Monitoring
of Computer Assisted Interventions (M2CAI)}},
month = {September},
pdf = {http://www.cc.gatech.edu/~irfan/p/2014-Sharma-VBAOUSMT.pdf},
title = {Video Based Assessment of OSATS Using Sequential
Motion Textures},
year = {2014}
}

Abstract

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.