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Rapid Impingement Detection System with Uniform Sampling for Ball-and-Socket Joint

  • Ding CaiEmail author
  • Won-Sook Lee
  • Chris Joslin
  • Paul Beaulé
Chapter

Abstract

Detecting the position and the level of joint impingement is often a key to computer-aided surgical plan to normalize joint kinematics. So far most of the current impingement detection methods for ball-and-socket joint are not efficient or only report a few collided points as the detection results. In this chapter, we present a novel real-time impingement detection system with rapid memory-efficient uniform sampling and surface-to-surface distance measurement feature to estimate the overall impingement. Our system describes near-spherical objects in spherical coordinate system, which reduces the space complexity and the computation costs. The sampling design further reduces the memory cost by generating uniform sampling orientations. The rapid and accurate impingement detection with surface-to-surface distance measurement can provide more realistic detailed information to estimate the overall impingement on the ball-and-socket joint, which is particularly useful for computer-aided surgical plan.

Keywords

Collision Detection Uniform Sampling Spherical Coordinate System Femoroacetabular Impingement Memory Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This project is funded by NSERC Discovery grant. We appreciate Andrew Speirs (Division of Orthopaedic Surgery, Ottawa Hospital-General Campus) for the advices on CT data segmentation tool, Matt Kennedy (Biomedical Engineering, University of Ottawa) for the range of motion data, and Anna Conway (Division of Orthopaedic Surgery, Ottawa Hospital-General Campus) for coordinating CT data collection.

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Copyright information

© Springer-Verlag London 2009

Authors and Affiliations

  • Ding Cai
    • 1
    Email author
  • Won-Sook Lee
    • 1
  • Chris Joslin
    • 2
  • Paul Beaulé
    • 3
  1. 1.School of Information Technology and EngineeringUniversity of OttawaOttawaCanada
  2. 2.School of Information TechnologyCarleton UniversityOttawaCanada
  3. 3.Division of Orthopaedic Surgery, Faculty of MedicineUniversity of OttawaOttawaCanada

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