Literature DB >> 23757148

Computational and experimental characterization of skin mechanics: identifying current challenges and future directions.

Jessica W Y Jor1, Matthew D Parker, Andrew J Taberner, Martyn P Nash, Poul M F Nielsen.   

Abstract

The characterization of skin mechanics has many clinical implications and has been an active area of research for the past few decades. Biomechanical models have evolved from earlier empirical models to state-of-the-art structural models that provide linkage between tissue microstructure and macroscopic stress-strain response. To maximize the accuracy and predictive capabilities of such computational models, there is a need to reliably identify often a large number of unknown model parameters. This is critically dependent on the availability of experimental data that cover an extensive range of different deformation modes, and quantification of internal structural features, such as collagen orientation. To this end, future challenges should include the ongoing development of noninvasive instrumentation and imaging modalities for in vivo skin measurements. We highlight the important concept of tightly integrating computational models, instrumentation, and imaging modalities into a single platform to investigate skin biomechanics.
Copyright © 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23757148     DOI: 10.1002/wsbm.1228

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  13 in total

Review 1.  Mathematical and computational modelling of skin biophysics: a review.

Authors:  Georges Limbert
Journal:  Proc Math Phys Eng Sci       Date:  2017-07-26       Impact factor: 2.704

2.  Automatic Segmentation of Mechanically Inhomogeneous Tissues Based on Deformation Gradient Jump.

Authors:  Colleen M Witzenburg; Rohit Y Dhume; Spencer P Lake; Victor H Barocas
Journal:  IEEE Trans Med Imaging       Date:  2015-07-07       Impact factor: 10.048

3.  Bayesian calibration of a computational model of tissue expansion based on a porcine animal model.

Authors:  Tianhong Han; Taeksang Lee; Joanna Ledwon; Elbert Vaca; Sergey Turin; Aaron Kearney; Arun K Gosain; Adrian B Tepole
Journal:  Acta Biomater       Date:  2021-10-08       Impact factor: 8.947

4.  Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression.

Authors:  Taeksang Lee; Ilias Bilionis; Adrian Buganza Tepole
Journal:  Comput Methods Appl Mech Eng       Date:  2019-12-09       Impact factor: 6.756

5.  The Incompatibility of Living Systems: Characterizing Growth-Induced Incompatibilities in Expanded Skin.

Authors:  Adrian Buganza Tepole; Michael Gart; Chad A Purnell; Arun K Gosain; Ellen Kuhl
Journal:  Ann Biomed Eng       Date:  2015-09-28       Impact factor: 3.934

6.  Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading.

Authors:  Nathan J Witt; Alan E Woessner; Kyle P Quinn; Edward A Sander
Journal:  J Biomech Eng       Date:  2022-04-01       Impact factor: 2.097

7.  Improving reconstructive surgery design using Gaussian process surrogates to capture material behavior uncertainty.

Authors:  Casey Stowers; Taeksang Lee; Ilias Bilionis; Arun K Gosain; Adrian Buganza Tepole
Journal:  J Mech Behav Biomed Mater       Date:  2021-02-09

8.  Collagen Fibrils in Skin Orient in the Direction of Applied Uniaxial Load in Proportion to Stress while Exhibiting Differential Strains around Hair Follicles.

Authors:  Sterling Nesbitt; Wentzell Scott; James Macione; Shiva Kotha
Journal:  Materials (Basel)       Date:  2015-04-20       Impact factor: 3.623

9.  Heterochromatin-Driven Nuclear Softening Protects the Genome against Mechanical Stress-Induced Damage.

Authors:  Michele M Nava; Yekaterina A Miroshnikova; Leah C Biggs; Daniel B Whitefield; Franziska Metge; Jorge Boucas; Helena Vihinen; Eija Jokitalo; Xinping Li; Juan Manuel García Arcos; Bernd Hoffmann; Rudolf Merkel; Carien M Niessen; Kris Noel Dahl; Sara A Wickström
Journal:  Cell       Date:  2020-04-16       Impact factor: 41.582

10.  Personalized Computational Models of Tissue-Rearrangement in the Scalp Predict the Mechanical Stress Signature of Rotation Flaps.

Authors:  Taeksang Lee; Sergey Y Turin; Casey Stowers; Arun K Gosain; Adrian Buganza Tepole
Journal:  Cleft Palate Craniofac J       Date:  2020-09-11
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