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

• Main Authors: 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
• Format: Article
• Language: English
• Published: Samara National Research University 2018-01-01
• Series: Journal of Biomedical Photonics & Engineering
• Subjects: hyperspectral imaging; backscattering spectroscopy; oncodermatology; oncological diagnostics; melanoma; nevi; carcinoma; melanin; hemoglobin content
• Online Access: http://jbpe.ssau.ru/index.php/JBPE/article/view/3252
• ISSN: 2411-2844

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.