The Experts below are selected from a list of 3084 Experts worldwide ranked by ideXlab platform

Melanie Ottenio - One of the best experts on this subject based on the ideXlab platform.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    arXiv: Biological Physics, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 was observed. The structural parameters of the Gasser-Ogden-Holzapfel (GOH) model were all successfully evaluated. 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.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    Annals of Biomedical Engineering, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 \(\kappa = 0.1404 \pm 0.0028.\) The constitutive parameters μ, k1 and k2 were evaluated through physically-based, least squares curve-fitting of experimental test data. The values found for μ, k1 and k2 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.

Aisling Ni Annaidh - One of the best experts on this subject based on the ideXlab platform.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    arXiv: Biological Physics, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 was observed. The structural parameters of the Gasser-Ogden-Holzapfel (GOH) model were all successfully evaluated. 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.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    Annals of Biomedical Engineering, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 \(\kappa = 0.1404 \pm 0.0028.\) The constitutive parameters μ, k1 and k2 were evaluated through physically-based, least squares curve-fitting of experimental test data. The values found for μ, k1 and k2 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.

Tomasz Markiewicz - One of the best experts on this subject based on the ideXlab platform.

  • using matlab software with tomcat server and java platform for remote Image analysis in pathology
    Diagnostic Pathology, 2011
    Co-Authors: Tomasz Markiewicz
    Abstract:

    Background The Matlab software is a one of the most advanced development tool for application in engineering practice. From our point of view the most important is the Image Processing Toolbox, offering many built-in functions, including mathematical morphology, and implementation of a many artificial neural networks as AI. It is very popular platform for creation of the specialized program for Image analysis, also in pathology. Based on the latest version of Matlab Builder Java Toolbox, it is possible to create the software, serving as a remote system for Image analysis in pathology via internet communication. The internet platform can be realized based on Java Servlet Pages with Tomcat server as servlet container.

Michel Destrade - One of the best experts on this subject based on the ideXlab platform.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    arXiv: Biological Physics, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 was observed. The structural parameters of the Gasser-Ogden-Holzapfel (GOH) model were all successfully evaluated. 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.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    Annals of Biomedical Engineering, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 \(\kappa = 0.1404 \pm 0.0028.\) The constitutive parameters μ, k1 and k2 were evaluated through physically-based, least squares curve-fitting of experimental test data. The values found for μ, k1 and k2 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.

Karine Bruyere - One of the best experts on this subject based on the ideXlab platform.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    arXiv: Biological Physics, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 was observed. The structural parameters of the Gasser-Ogden-Holzapfel (GOH) model were all successfully evaluated. 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.

  • automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin
    Annals of Biomedical Engineering, 2012
    Co-Authors: Aisling Ni Annaidh, Karine Bruyere, Michel Destrade, Michael D Gilchrist, Corrado Maurini, Melanie Ottenio
    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 \(\kappa = 0.1404 \pm 0.0028.\) The constitutive parameters μ, k1 and k2 were evaluated through physically-based, least squares curve-fitting of experimental test data. The values found for μ, k1 and k2 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.