Rapid impingement detection and surface distance measurement system for real-time ball-and-socket joint motion simulation

  • Authors:
  • Ding Cai;Won-Sook Lee;Chris Joslin;Paul E. Beaule

  • Affiliations:
  • School of Information Technology and Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.;School of Information Technology and Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.;School of Information Technology and Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.;Faculty of Medicine, Division of Orthopaedic Surgery, University of Ottawa, Ottawa, ON K1H 8L6, Canada

  • Venue:
  • International Journal of Advanced Media and Communication
  • Year:
  • 2009

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Abstract

Detecting the position and the level of joint impingement is often a key to computer-aided surgical plan to normalise joint kinematics. So far for ball-and-socket joint, most of the up-to-date impingement detection methods are not efficient or only consider a few collided points as the detection results. In this paper, we present a real-time impingement detection system with rapid geometry sampling and surface-to-surface distance measurement feature for joint motion simulation. This is an expanded version of a paper presented at the 3rd IEEE International Workshop on Medical Measurements and Applications, 9 10 May 2008, Ottawa, ON, Canada.