137
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Detection of incoherent joint state due to inaccurate bone motion estimation

, , , , &
Pages 165-174 | Received 04 Aug 2010, Accepted 08 Aug 2011, Published online: 04 Oct 2011
 

Abstract

In biomechanical modelling and motion analysis, the use of personalised data such as bone geometry would provide more accurate and reliable results. However, there are still a limited number of tools used to measure the evolution of articular interactions. This paper proposes a coherence index to describe the articular status of contact surfaces during motion. The index relies on a robust estimation of the evolution of surfacic interactions between the joint surfaces. The index is first compared to distance maps on simulated motions. It is then used to compare two motion capture protocols (two different localisations of the markers for scapula tracking). The results show that the index detects progressive modifications in the joint and allows distinguishing the two protocols, in accordance with the literature. In the future, the index could, among other things, be used to compare/improve biomechanical models and motion analysis protocols.

Acknowledgements

This work was supported by a grant from the Brittany Region (France). We also gratefully thank the Imaging unit of the Hôpital d'Instruction des Armées Clermont Tonnerre of Brest for their contribution to the MRI acquisitions.

Notes

Additional information

Notes on contributors

Fabien Leboeuf

1 1. [email protected]

Olivier Rémy-Néris

2 2. [email protected]

Sylvain Brochard

3 3. [email protected]

Mathieu Lempereur

4 4. [email protected]

Valérie Burdin

5 5. [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.