Quantitative Analysis of Skin using Diffuse Reflectance for Non-invasive Pigments Detection

Shiwei Li, Mohsen Ardabilian, Abdelmalek Zine

2021

Abstract

Skin diagnosis has become a significant part of research topics in biomedical engineering and informatics, since many conditions or symptoms of diseases, such as melanoma and jaundice, are indicated by skin appearance. In the past, an invasive method (i.e. Biopsy) is widely used for pathological diagnosis by removing a small amount of living tissue. Recently, non-invasive methods have been studied based on diffuse reflectance for detecting skin inner information. With the development of machine learning techniques, non-invasive methods can be further improved in many aspects, such as the speed and accuracy. Our research focuses on analyzing and improving non-invasive skin pigments detection using neural networks. The relation between skin pigments content and skin diffuse reflectance has been studied. Moreover, the computational time has been accelerated significantly after using the inverse mapping neural network instead of the forward mapping one. The results show that our proposed method can obtain favorable results in estimating melanin content, blood content, and oxygen saturation from synthetic skin diffuse reflectance for all lightly, moderately, and darkly pigmented skin types compared to Monte Carlo simulations. And it turns out that our method works well when using a measured skin reflectance database from National Institute of Standards and Technology for the second validation.

Paper Citation

in Harvard Style

Li S., Ardabilian M. and Zine A. (2021). Quantitative Analysis of Skin using Diffuse Reflectance for Non-invasive Pigments Detection. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 604-614. DOI: 10.5220/0010326806040614

in Bibtex Style

@conference{visapp21,
author={Shiwei Li and Mohsen Ardabilian and Abdelmalek Zine},
title={Quantitative Analysis of Skin using Diffuse Reflectance for Non-invasive Pigments Detection},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={604-614},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010326806040614},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Quantitative Analysis of Skin using Diffuse Reflectance for Non-invasive Pigments Detection
SN - 978-989-758-488-6
AU - Li S.
AU - Ardabilian M.
AU - Zine A.
PY - 2021
SP - 604
EP - 614
DO - 10.5220/0010326806040614
PB - SciTePress