Skin Characterizations by Using Contact Capacitive Imaging and High-Resolution Ultrasound Imaging with Machine Learning Algorithms

Journal article


Chirikhina, E., Chirikhin, A., Dewsbury-Ennis, S., Bianconi, F. and Xiao, P. (2021). Skin Characterizations by Using Contact Capacitive Imaging and High-Resolution Ultrasound Imaging with Machine Learning Algorithms. Applied Sciences. 11 (18), p. e8714. https://doi.org/10.3390/app11188714
AuthorsChirikhina, E., Chirikhin, A., Dewsbury-Ennis, S., Bianconi, F. and Xiao, P.
AbstractWe present our latest research on skin characterizations by using Contact Capacitive Imaging and High-Resolution Ultrasound Imaging with Machine Learning algorithms. Contact Capacitive Imaging is a novel imaging technology based on the dielectric constant measurement principle, with which we have studied the skin water content of different skin sites and performed image classification by using pre-trained Deep Learning Neural Networks through Transfer Learning. The results show lips and nose have the lowest water content, whilst cheek, eye corner and under-eye have the highest water content. The classification yields up to 83.8% accuracy. High-Resolution Ultrasound Imaging is a state-of-the-art ultrasound technology, and can produce high-resolution images of the skin and superficial soft tissue to a vertical resolution of about 40 microns, with which we have studied the thickness of different skin layers, such as stratum corneum, epidermis and dermis, around different locations on the face and around different body parts. The results show the chin has the highest stratum corneum thickness, and the arm has the lowest stratum corneum thickness. We have also developed two feature-based image classification methods which yield promising results. The outcomes of this study could provide valuable guidelines for cosmetic/medical research, and methods developed in this study can also be extended for studying damaged skin or skin diseases. The combination of Contact Capacitive Imaging and High-Resolution Ultrasound Imaging could be a powerful tool for skin studies.
Keywordsskin image analysis; capacitive imaging; high-resolution ultrasound; machine learning; skin water content; skin texture; skin thickness
Year2021
JournalApplied Sciences
Journal citation11 (18), p. e8714
PublisherMDPI
ISSN2076-3417
Digital Object Identifier (DOI)https://doi.org/10.3390/app11188714
Publication dates
Online18 Sep 2021
Publication process dates
Accepted06 Sep 2021
Deposited24 Mar 2022
Publisher's version
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File Access Level
Open
Licensehttps://creativecommons.org/licenses/by/4.0/
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