Quantitative Evaluation of Skin Surface Roughness Using Optical Coherence Tomography In Vivo
The quantitative monitoring of skin topography is important in the field of cosmetics and dermatology. The most widespread method for determining skin roughness in vivo is to use skin microrelief, PRIMOS device, which allows a noninvasive, fast, and direct measurement of the skin surface. However, i...
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Published in | IEEE journal of selected topics in quantum electronics Vol. 25; no. 1; pp. 1 - 8 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.01.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | The quantitative monitoring of skin topography is important in the field of cosmetics and dermatology. The most widespread method for determining skin roughness in vivo is to use skin microrelief, PRIMOS device, which allows a noninvasive, fast, and direct measurement of the skin surface. However, it has drawbacks, such as the interference of backscattering from volumetric skin and motion artifacts. In this study, we demonstrate the potential of optical coherence tomography (OCT) for providing reliable and quantitative skin surface roughness. In order to evaluate the performance of OCT for skin surface analysis, different types of skin phantoms are fabricated and measured. We utilize OCT to identify the effect of cosmetics as well as human skin topology for various aging groups and different skin regions. Skin surface roughness parameters based on ISO 25178 part 2 standard definitions are then derived from home-built image processing software and compared with one acquired from PRIMOS. Our results show that skin surface geometry acquired from three-dimensional OCT images is well quantified to complex wrinkle structure and robust to the angle of the subject. Since OCT enables to present quantitative skin topology and volumetric skin anatomy simultaneously, it would be a useful tool to deliver comprehensive and intuitive information in dynamic skin observations. |
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ISSN: | 1077-260X 1558-4542 |
DOI: | 10.1109/JSTQE.2018.2873489 |