The Influence of Ageing on the in vivo Elasticity of Human Skin

Grahame, Rodney; Holt, P J

doi:10.1159/000211681

Cited by 124 publications

(60 citation statements)

References 1 publication

(1 reference statement)

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“…Estimates from torsion experiments have ranged from 20 kPa to 100 kPa [43], to moduli over 1 MPa on the forearm [6]. Suction tests have also resulted in considerable variability in Young's moduli from as low as 130 kPa to as high as 57 MPa [44].…”

Section: Discussionmentioning

confidence: 99%

Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

Parker

Jones

Hunter

et al. 2016

Journal of Biomechanical Engineering

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A triaxial force-sensitive microrobot was developed to dynamically perturb skin in multiple deformation modes, in vivo. Wiener static nonlinear identification was used to extract the linear dynamics and static nonlinearity of the force-displacement behavior of skin. Stochastic input forces were applied to the volar forearm and thenar eminence of the hand, producing probe tip perturbations in indentation and tangential extension. Wiener static nonlinear approaches reproduced the resulting displacements with variances accounted for (VAF) ranging 94-97%, indicating a good fit to the data. These approaches provided VAF improvements of 0.1-3.4% over linear models. Thenar eminence stiffness measures were approximately twice those measured on the forearm. Damping was shown to be significantly higher on the palm, whereas the perturbed mass typically was lower. Coefficients of variation (CVs) for nonlinear parameters were assessed within and across individuals. Individual CVs ranged from 2% to 11% for indentation and from 2% to 19% for extension. Stochastic perturbations with incrementally increasing mean amplitudes were applied to the same test areas. Differences between full-scale and incremental reduced-scale perturbations were investigated. Different incremental preloading schemes were investigated. However, no significant difference in parameters was found between different incremental preloading schemes. Incremental schemes provided depth-dependent estimates of stiffness and damping, ranging from 300 N/m and 2 Ns/m, respectively, at the surface to 5 kN/m and 50 Ns/m at greater depths. The device and techniques used in this research have potential applications in areas, such as evaluating skincare products, assessing skin hydration, or analyzing wound healing.

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Section: Discussionmentioning

confidence: 99%

Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

Parker

Jones

Hunter

et al. 2016

Journal of Biomechanical Engineering

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“…Aspiration is probably the most widely used technique. Starting from the pioneering work by Grahame and Holt (1969), several authors proposed suction cups differing mostly in the way the aspirated height is measured (optically Kauer et al, 2002, using ultrasound (Diridollou et al, 2000 or by their ability to accurately measure the dynamic response. Other excitation methods include indentation (Ottensmeyer, 2001;Carter et al, 2001;Samur et al, 2007) using a handheld or robotic indenter, and torsion (Agache et al, 1980) or ballistometer (Jemec et al, 2001) which consists of striking the tissue with a known mass and a known force.…”

Section: 2mentioning

confidence: 99%

Soft Tissue Finite Element Modeling and Calibration of the Material Properties in the Context of Computer-Assisted Medical Interventions

Payan

2016

Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics

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International audienceThis chapter aims at illustrating how patient-specific models of human organs / soft tissues can be implemented into Finite Element (FE) packages. First is addressed the question of the generation of patient-specific FE models compatible with the clinical constraints. Then is discussed the calibration of the material properties, with choices that should be done between calibrations based on ex vivo or in vivo tissues loadings. The example of computer assisted maxillofacial surgery is addressed and results based on patients' data are provided

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“…The deformation can be measured with an optical or ultrasound system. Starting from the pioneering work by Grahame and Holt [8], several authors proposed suction cups ( [9], [10], [11]). Most devices were developed to be used on external tissues [12], some of them leading to commercial products designed specifically for dermatology market.…”

Section: In Vivo Devices: State Of the Artmentioning

confidence: 99%

LASTIC: A Light Aspiration Device for in vivo Soft TIssue Characterization

Schiavone

Promayon

Payan

2010

Biomedical Simulation

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Abstract. This paper introduces a new Light Aspiration device for in vivo Soft TIssue Characterization (LASTIC). This device is designed to be used during surgery, and can undergo sterilization. It provides interactive-time estimation of the elastic parameters. LASTIC is a 3cm x 3cm metallic cylinder divided in two compartments. The lower compartment is a cylindrical chamber made airtight by a glass window in which a negative pressure can be applied. Put in contact with soft tissues, it can aspirate the tissues into the chamber through a circular aperture in its bottom side. The upper compartment is clinched onto the lower part. A miniature digital camera is fixed inside the upper chamber, focusing on the aspirated soft tissue. LASTIC is operated by applying a range of negative pressures in the lower compartment while measuring the resulting aspirated tissue deformations with the digital camera. These measurements are used to estimate the tissue elasticity parameters by inverting a Finite Element model of the suction experiment. In order to use LAS-TIC during surgical interventions, a library-based optimization process is used to provide an interactive time inversion.

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The Influence of Ageing on the in vivo Elasticity of Human Skin

Cited by 124 publications

References 1 publication

Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

Soft Tissue Finite Element Modeling and Calibration of the Material Properties in the Context of Computer-Assisted Medical Interventions

LASTIC: A Light Aspiration Device for in vivo Soft TIssue Characterization

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