Human Face Mapping Based on TEWL, Hydration and Ultrasound

Biophysical properties of the skin vary depending on the skin location. Such properties include skin structure, density of skin layers, pH, temperature, hydration and Transepidermal Water Loss (TEWL).Modern technologies and quantitative methods allow reading and analysing the skin properties using in-vivo based analysis. One goal of such analysis is partitioning the skin in areas with similar properties, which is referred as mapping. The purpose of our study, also the novelty of the project, is mapping of the facial skin in terms of TEWL, hydration and skin layer thickness, as well as measuring the effect of physical exercise on facial skin; where possible, effect of sex and age were also considered. TEWL was measured with AquaFlux, skin layer thickness was measured with Episcan high resolution ultrasound imaging, and skin hydration was measured with Epsilon. Our study reveals material difference of TEWL between the facial sites being analysed; the largest differences were noted between the lips and the neck. It was found that skin hydration levels decrease with the advancement of age. Skin hydration readings reveal larger general effect of exercise for females, and strongest effect for males observed on the nose. Skin ultrasound images were used in two ways. First, face was mapped in terms of the thickness of the individual skin layers and such mapping was found to be different for each layer. Secondly, the differences between the sites in terms of thickness were quantified using Welch test, where age was also found to be a factor. Several Machine Learning-based classifiers of the skin location were also trained, which are based on the cross-sectional image with moderate positive outcome. The study showed that the combination of TEWL, Epsilon and Episcan provides useful information about skin health. The study also showed variations in the values for different facial skin sites of several skin samples, which was likely due to the degree of corneocyte formation, the lipid contents of the Stratum Corneum (SC), skin temperature, damaged barrier function, bodily health and skin blood flow

Capacitive Imaging for Skin Characterizations and Solvent Penetration Measurements

Capacitive contact imaging has shown potential in measuring skin properties including hydration, micro relief analysis, as well as solvent penetration measurements. Through calibration, we can also measure the absolute permittivity of the skin, and from absolute permittivity we then work out the absolute water content and absolute solvent content in skin. This paper presents our latest study of capacitive contact imaging for skin characterizations and vivo skin solvent penetration. The results show that with capacitive contact imaging, it is possible not only to assess the skin damaging, but also potentially possible to differentiate different types of skin damages. The results also show that with capacitive contact imaging, it is also possible to measure the solvent penetration through skin and to quantify the solvent concentration within skin

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

We 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

In Vivo Assessment of Water Content, Trans-Epidermial Water Loss and Thickness in Human Facial Skin

Mapping facial skin in terms of its biophysical properties plays a fundamental role in many practical applications, including, among others, forensics, medical and beauty treatments, and cosmetic and restorative surgery. In this paper we present an in vivo evaluation of the water content, trans-epidermial water loss and skin thickness in six areas of the human face: cheeks, chin, forehead, lips, neck and nose. The experiments were performed on a population of healthy subjects through innovative sensing devices which enable fast yet accurate evaluations of the above parameters. A statistical analysis was carried out to determine significant differences between the facial areas investigated and clusters of statistically-indistinguishable areas. We found that water content was higher in the cheeks and neck and lower in the lips, whereas trans-epidermal water loss had higher values for the lips and lower ones for the neck. In terms of thickness the dermis exhibited three clusters, which, from thickest to thinnest were: chin and nose, cheek and forehead and lips and neck. The epidermis showed the same three clusters too, but with a different ordering in term of thickness. Finally, the stratum corneum presented two clusters: the thickest, formed by lips and neck, and the thinnest, formed by all the remaining areas. The results of this investigation can provide valuable guidelines for the evaluation of skin moisturisers and other cosmetic products, and can help guide choices in re-constructive/cosmetic surgery

The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms

We present our latest research work on the development of a skin image analysis tool by using machine-learning algorithms. Skin imaging is very import in skin research. Over the years, we have used and developed different types of skin imaging techniques. As the number of skin images and the type of skin images increase, there is a need of a dedicated skin image analysis tool. In this paper, we report the development of such software tool by using the latest MATLAB App Designer. It is simple, user friendly and yet powerful. We intend to make it available on GitHub, so that others can benefit from the software. This is an ongoing project; we are reporting here what we have achieved so far, and more functions will be added to the software in the future

Skin Capacitive Imaging Analysis Using Deep Learning GoogLeNet

Skin hydration measurement is very important for many clinical studies. Skin capacitive imaging is a novel technique that can be used for in-vivo skin hydration measurements [1-3]. It is based on permittivity measurement principle, and can generate a skin water content image using a matrix sensor. In this paper, we present our latest study on the skin capacitive imaging analysis using Deep Learning GoogLeNet [4]. The skin capacitive images are divided into three groups according to volunteers, gender (male and female), and skin sites (face, forearm, forehead, neck, palm, and lower leg). GoogLeNet is used for image classifications. The results show that GoogLeNet can effectively differentiate the different skin capacitive images from different categories. We will first present the skin capacitive imaging technology and then present the experimental results. This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent Systems and Computing

Capacitive Imaging for Skin Characterizations and Solvent Penetration Measurements

Capacitive contact imaging has shown potential in measuring skin properties including hydration, micro relief analysis, as well as solvent penetration measurements. Through calibration, we can also measure the absolute permittivity of the skin, and from absolute permittivity we then work out the absolute water content and absolute solvent content in skin. This paper presents our latest study of capacitive contact imaging for skin characterizations and vivo skin solvent penetration. The results show that with capacitive contact imaging, it is possible not only to assess the skin damaging, but also potentially possible to differentiate different types of skin damages. The results also show that with capacitive contact imaging, it is also possible to measure the solvent penetration through skin and to quantify the solvent concentration within skin