Open Access
21 January 2019 Vibration analysis of healthy skin: toward a noninvasive skin diagnosis methodology
Author Affiliations +
Abstract
Several noninvasive imaging techniques have been developed to monitor the health of skin and enhance the diagnosis of skin diseases. Among them, skin elastography is a popular technique used to measure the elasticity of the skin. A change in the elasticity of the skin can influence its natural frequencies and mode shapes. We propose a technique to use the resonant frequencies and mode shapes of the skin to monitor its health. Our study demonstrates how the resonant frequencies and mode shapes of skin can be obtained using numerical and experimental analysis. In our study, natural frequencies and mode shapes are obtained via two methods: (1) finite element analysis: an eigensolution is performed on a finite element model of normal skin, including stratum corneum, epidermis, dermis, and subcutaneous layers and (2) digital image correlation (DIC): several in-vivo measurements have been performed using DIC. The experimental results show a correlation between the DIC and FE results suggesting a noninvasive method to obtain vibration properties of the skin. This method can be further examined to be eventually used as a method to differentiate healthy skin from diseased skin. Prevention, early diagnosis, and treatment are critical in helping to reduce the incidence, morbidity, and mortality associated with skin cancer; thus, making the current study significant and important in the field of skin biomechanics.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Rakshita Panchal, Luke Horton, Peyman Poozesh, Javad Baqersad, and Mohammadreza Nasiriavanaki "Vibration analysis of healthy skin: toward a noninvasive skin diagnosis methodology," Journal of Biomedical Optics 24(1), 015001 (21 January 2019). https://doi.org/10.1117/1.JBO.24.1.015001
Received: 20 May 2018; Accepted: 14 December 2018; Published: 21 January 2019
Lens.org Logo
CITATIONS
Cited by 39 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Skin

Digital image correlation

Vibrometry

Finite element methods

Tissues

Skin cancer

3D modeling

Back to Top