Title: 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

Addresses: 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

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.

Keywords: impingement detection; surface distance measurement; ball-and-socket joint; joint motion; joint impingement; computer-aided surgery; surgical planning; joint kinematics; simulation.

DOI: 10.1504/IJAMC.2009.026849

International Journal of Advanced Media and Communication, 2009 Vol.3 No.1/2, pp.5 - 24

Published online: 27 Jun 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article