Dremin, V. V., Zherebtsov, E. A., Popov, A. P., Meglinski, I. V., & Bykov, A. V. (2022). Hyperspectral imaging of diabetes mellitus skin complications. In A. Dunaev & V. Tuchin, Biomedical Photonics for Diabetes Research (1st ed., pp. 177–195). CRC Press. https://doi.org/10.1201/9781003112099-8
Hyperspectral imaging of diabetes mellitus skin complications
|Author:||Dremin, Viktor V.1,2; Zherebtsov, Evgenii A.2,3; Popov, Alexey P.4;|
1College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK
2Research & Development Center of Biomedical Photonics, Orel State University, Orel 302026, Russia
3Opto-Electronics and Measurement Techniques Unit, University of Oulu, Oulu 90570, Finland
4VTT Technical Research Centre of Finland, Oulu 90571, Finland
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023040535199
|Publish Date:|| 2023-10-31
Diabetes leads to protein glycation and causes dysfunction of collagen-containing tissues. The accompanying structural and functional changes of collagen significantly contribute to the development of various pathological malformations affecting the skin, blood vessels, and nerves, causing a number of complications, increasing disability risks and threat to life. The prevalence of diabetic complications is a significant public health problem with a considerable economic cost. In fact, no methods currently exist of noninvasive assessment of glycation and associated metabolic processes in biotissues or prediction of possible skin complications, e.g., ulcers, for clinical diagnosis and use by endocrinologists. Here, utilizing emerging photonics-based technology, innovative solutions in machine learning, and definitive physiological characteristics, we describe a diagnostic approach capable of evaluating the skin complications of diabetes mellitus at an early stage. The technique of polarization-based hyperspectral imaging developed in-house, accomplished by implementing an artificial neural network, provides new horizons in the study and diagnosis of age-related diseases.
|Pages:||177 - 195|
Biomedical photonics for diabetes research
|Host publication editor:||
|Type of Publication:||
A3 Book chapter
|Field of Science:||
114 Physical sciences
Viktor Dremin thanks the support of the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 839888. The authors are grateful for the support from the Academy of Finland (grants No. 314369 and No. 318281).
|Academy of Finland Grant Number:||
314369 (Academy of Finland Funding decision)
318281 (Academy of Finland Funding decision)
This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in Biomedical Photonics for Diabetes Research on 31 October 2022, available online: https://doi.org/10.1201/9781003112099. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.