Literature DB >> 21809938

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

L Dubuis1, S Avril, J Debayle, P Badel.   

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.

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Year:  2011        PMID: 21809938     DOI: 10.1080/10255842.2011.560666

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  3 in total

1.  An MRI-based leg model used to simulate biomechanical phenomena during cuff algometry: a finite element study.

Authors:  Bahram Manafi-Khanian; Lars Arendt-Nielsen; Thomas Graven-Nielsen
Journal:  Med Biol Eng Comput       Date:  2015-04-28       Impact factor: 2.602

2.  Investigation of interaction phenomena between crural fascia and muscles by using a three-dimensional numerical model.

Authors:  Piero G Pavan; Paola Pachera; Antonella Forestiero; Arturo N Natali
Journal:  Med Biol Eng Comput       Date:  2017-02-10       Impact factor: 2.602

3.  Biaxial Estimation of Biomechanical Constitutive Parameters of Passive Porcine Sclera Soft Tissue.

Authors:  Zwelihle Ndlovu; Dawood Desai; Thanyani Pandelani; Harry Ngwangwa; Fulufhelo Nemavhola
Journal:  Appl Bionics Biomech       Date:  2022-02-28       Impact factor: 1.781

  3 in total

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