583
Views
44
CrossRef citations to date
0
Altmetric
Original Articles

Identification of the material parameters of soft tissues in the compressed leg

, , &
Pages 3-11 | Received 04 Oct 2010, Accepted 02 Feb 2011, Published online: 02 Aug 2011
 

Abstract

Elastic compression is recommended in prophylaxis and the treatment of venous disorder of the human leg. However, the mechanisms of compression are not completely understood and the response of internal tissues to the external pressure is partially unknown. To address this later issue, a 3D FE model of a human leg is developed. The geometry is derived from 3D CT scans. The FE model is made up of soft tissues and rigid bones. An inverse method is applied to identify the properties of soft tissues which are modelled as hyperelastic, near-incompressible, homogeneous and isotropic materials. The principle is to calibrate the constitutive properties using CT scans carried out with and without the presence of a compression sock. The deformed geometry computed by the calibrated FE model is in agreement with the geometry deduced from the CT scans. The model also provides the internal pressure distribution, which may lead to medical exploitation in the future.

Acknowledgements

The authors are grateful to the Rhone-Alpes Regional Council for funding the Ph.D. grant of L.D and to the ANR (French National Research Agency) for its support. J.-F. Pouget and the Clinique Mutualiste de Saint-Étienne are gratefully acknowledged for their help with medical images, and BVSport© for providing and characterising the socks.

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.