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Automated Estimation of Collagen Fibre Dispersion in the Dermis and its Contribution to the Anisotropic Behaviour of Skin

Overview of attention for article published in Annals of Biomedical Engineering, March 2012
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Title
Automated Estimation of Collagen Fibre Dispersion in the Dermis and its Contribution to the Anisotropic Behaviour of Skin
Published in
Annals of Biomedical Engineering, March 2012
DOI 10.1007/s10439-012-0542-3
Pubmed ID
Authors

Aisling Ní Annaidh, Karine Bruyère, Michel Destrade, Michael D. Gilchrist, Corrado Maurini, Melanie Otténio, Giuseppe Saccomandi

Abstract

Collagen fibres play an important role in the mechanical behaviour of many soft tissues. Modelling of such tissues now often incorporates a collagen fibre distribution. However, the availability of accurate structural data has so far lagged behind the progress of anisotropic constitutive modelling. Here, an automated process is developed to identify the orientation of collagen fibres using inexpensive and relatively simple techniques. The method uses established histological techniques and an algorithm implemented in the MATLAB image processing toolbox. It takes an average of 15 s to evaluate one image, compared to several hours if assessed visually. The technique was applied to histological sections of human skin with different Langer line orientations and a definite correlation between the orientation of Langer lines and the preferred orientation of collagen fibres in the dermis (p < 0.001, R(2) = 0.95) was observed. The structural parameters of the Gasser-Ogden-Holzapfel (GOH) model were all successfully evaluated. The mean dispersion factor for the dermis was κ = 0.1404±0.0028. The constitutive parameters μ, k(1) and k(2) were evaluated through physically-based, least squares curve-fitting of experimental test data. The values found for μ, k(1) and k(2) were 0.2014 MPa, 243.6 and 0.1327, respectively. Finally, the above model was implemented in ABAQUS/Standard and a finite element (FE) computation was performed of uniaxial extension tests on human skin. It is expected that the results of this study will assist those wishing to model skin, and that the algorithm described will be of benefit to those who wish to evaluate the collagen dispersion of other soft tissues.

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Geographical breakdown

Country Count As %
United States 2 <1%
Italy 2 <1%
Colombia 1 <1%
Slovenia 1 <1%
Unknown 203 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 23%
Researcher 34 16%
Student > Master 33 16%
Professor > Associate Professor 11 5%
Student > Bachelor 11 5%
Other 28 13%
Unknown 43 21%
Readers by discipline Count As %
Engineering 94 45%
Materials Science 14 7%
Medicine and Dentistry 11 5%
Agricultural and Biological Sciences 9 4%
Biochemistry, Genetics and Molecular Biology 6 3%
Other 20 10%
Unknown 55 26%