Polarization-sensitive hyperspectral imaging of human skin: From system design to clinical validation (Conference Presentation)

Alexander V. Bykov; Viktor Dremin; Zbignevs Marcinkevics; Evgenii Zherebtsov; Alexander Doronin; Alexey Popov; Andris Grabovskis; Igor Meglinski

doi:10.1117/12.2556842

27 April 2020 Polarization-sensitive hyperspectral imaging of human skin: From system design to clinical validation (Conference Presentation)

Alexander V. Bykov, Viktor Dremin, Zbignevs Marcinkevics, Evgenii Zherebtsov, Alexander Doronin, Alexey Popov, Andris Grabovskis, Igor Meglinski

Author Affiliations +

Proceedings Volume 11389, Micro- and Nanotechnology Sensors, Systems, and Applications XII; 1138914 (2020) https://doi.org/10.1117/12.2556842
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

We present the development and validation of a new approach for quantitative functional imaging of human skin based on the machine learning technique for the analysis of the hyperspectral skin images. The considered skin parameters include blood volume fraction, blood oxygenation, melanin content, and the epidermal layer thickness. Additionally, the degree of residual polarization of the reflected light has been analyzed. The validity of the approach has been confirmed by the initial preclinical tests with the tissue-mimicking phantoms, functional in-vivo skin tests, and pilot clinical study of type II diabetic patients. The proposed technique has great potential to be implemented in clinical practice for monitoring and diagnosis of chronic skin ulcers and other relevant diseases.

Conference Presentation

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Alexander V. Bykov, Viktor Dremin, Zbignevs Marcinkevics, Evgenii Zherebtsov, Alexander Doronin, Alexey Popov, Andris Grabovskis, and Igor Meglinski "Polarization-sensitive hyperspectral imaging of human skin: From system design to clinical validation (Conference Presentation)", Proc. SPIE 11389, Micro- and Nanotechnology Sensors, Systems, and Applications XII, 1138914 (27 April 2020); https://doi.org/10.1117/12.2556842

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