In vivo hyperspectral imaging of skin malignant and benign tumors in visible spectrum

Ivan A. Bratchenko; Violetta P. Sherendak; Oleg O. Myakinin; Dmitry N. Artemyev; Alexander A. Moryatov; Ekaterina Borisova; Latchezar Avramov; Larisa A. Zherdeva; Andrey E. Orlov; Sergey V. Kozlov; Valery P. Zakharov

doi:10.18287/JBPE17.04.010301

Authors

Ivan A. Bratchenko Department of Laser and Biotechnical Systems, Samara National Research University, Russian Federation
Violetta P. Sherendak Department of Laser and Biotechnical Systems, Samara National Research University, Russian Federation
Oleg O. Myakinin Department of Laser and Biotechnical Systems, Samara National Research University, Russian Federation
Dmitry N. Artemyev Department of Laser and Biotechnical Systems, Samara National Research University, Russian Federation
Alexander A. Moryatov Department of Oncology, Samara State Medical University, Russian Federation Samara Regional Clinical Oncology Dispensary, Russian Federation
Ekaterina Borisova Institute of Electronics, Bulgarian Academy of Sciences, Sofia, Bulgaria
Latchezar Avramov Institute of Electronics, Bulgarian Academy of Sciences, Sofia, Bulgaria
Larisa A. Zherdeva Department of Laser and Biotechnical Systems, Samara National Research University, Russian Federation
Andrey E. Orlov Samara Regional Clinical Oncology Dispensary, Russian Federation
Sergey V. Kozlov Department of Oncology, Samara State Medical University, Russian Federation Samara Regional Clinical Oncology Dispensary, Russian Federation
Valery P. Zakharov Department of Laser and Biotechnical Systems, Samara National Research University, Russian Federation

DOI:

https://doi.org/10.18287/JBPE17.04.010301

Keywords:

hyperspectral imaging, backscattering spectroscopy, oncodermatology, oncological diagnostics, melanoma, nevi, carcinoma, melanin, hemoglobin content

Abstract

The paper presents analysis of hyperspectral images for human skin cancer pathologies diagnostics. Hyperspectral images data contained backscattered spectra of normal skin and tumors. Analysis of hyperspectral images provided information about hemoglobin and melanin content for the differentiation of malignant and benign skin neoplasms based on tissues optical density calculation. It was shown that the accuracy of cancerous tissues classification reaches 88% for proposed algorithm of hyperspectral images analysis. The proposed approach may be a rapid and reliable tool for skin oncological diseases screening.

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