Towards computational understanding of skill levels in simulation-based surgical training via automatic video analysis

Qiang Zhang, Baoxin Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Analysis of motion expertise is an important problem in many domains including sports and surgery. Recent years, surgical simulation has emerged at the forefront of new technologies for improving the education and training of surgical residents. In simulation-based surgical training, a key task is to rate the performance of the operator, which is done currently by senior surgeons. This is deemed as a costly practice and researchers have been working towards building automated systems to achieve computational understanding of surgical skills, largely through analysis of motion data captured by video or data of other modalities. This paper presents our study on understanding a fundamental issue in building such automated systems: how visual features computed from videos capturing surgical actions may be related to the motion expertise of the operator. Utilizing domain-speciffic knowledge, we propose algorithms for detecting visual features that support understanding the skill of the operator. A set of video streams captured from resident surgeons in two local hospitals were employed in our analysis. The experiments revealed useful observations on potential correlations between computable visual features and the motion expertise of the subjects, hence leading to insights into how to build automatic system for solving the problem of expertise evaluation.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Pages249-260
Number of pages12
EditionPART 3
DOIs
StatePublished - Dec 1 2010
Event6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States
Duration: Nov 29 2010Dec 1 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6455 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International, Symposium on Visual Computing, ISVC 2010
CountryUnited States
CityLas Vegas, NV
Period11/29/1012/1/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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