Paper in MICCAI (2015): “Automated Assessment of Surgical Skills Using Frequency Analysis”

Paper

  • A. Zia, Y. Sharma, V. Bettadapura, E. Sarin, M. Clements, and I. Essa (2015), “Automated Assessment of Surgical Skills Using Frequency Analysis,” in International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015. [PDF] [BIBTEX] 
    @InProceedings{    2015-Zia-AASSUFA,
  author  = {A. Zia and Y. Sharma and V. Bettadapura and E.
      Sarin and M. Clements and I. Essa},
  booktitle  = {International Conference on Medical Image Computing
      and Computer Assisted Interventions (MICCAI)},
  month    = {October},
  pdf    = {http://www.cc.gatech.edu/~irfan/p/2015-Zia-AASSUFA.pdf},
  title    = {Automated Assessment of Surgical Skills Using
      Frequency Analysis},
  year    = {2015}
}

Abstract

We present an automated framework for a visual assessment of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis technique for extracting motion quality via  frequency coefficients is introduced. The framework is tested in a case study that involved analysis of videos of medical students with different expertise levels performing basic surgical tasks in a surgical training lab setting. We demonstrate that transforming the sequential time data into frequency components effectively extracts the useful information differentiating between different skill levels of the surgeons. The results show significant performance improvements using DFT and DCT coefficients over known state-of-the-art techniques.

Tags: , , , , , , | Categories: Activity Recognition, Aneeq Zia, Eric Sarin, Mark Clements, Medical, MICCAI, Papers, Vinay Bettadapura, Yachna Sharma | Date: October 6th, 2015 | By: Irfan Essa |

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