In vivo hyperspectral analysis of skin hemoglobin and melanin content for neoplasia detection

Ivan A. Bratchenko (Login required)
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Oleg O. Myakinin
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Violetta P. Sherendak
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Pavel N. Volkhin
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Yulia A. Khristoforova
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Lyudmila A. Bratchenko
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Dmitry N. Artemyev
Department of Laser and Biotechnical Systems, Samara National Research University, Russia

Alexander A. Moryatov
Department of Oncology, Samara State Medical University, Russia

Olga V. Polschikova
Scientific and Technological Center of Unique Instrumentation, RAS, Moscow, Russia

Alexander S. Machikhin
Scientific and Technological Center of Unique Instrumentation, RAS, Moscow, Russia

Vitold E. Pozhar
Scientific and Technological Center of Unique Instrumentation, RAS, Moscow, Russia

Sergey V. Kozlov
Department of Oncology, Samara State Medical University, Russia

Valery P. Zakharov
Department of Laser and Biotechnical Systems, Samara National Research University, Russia


Paper #3310 received 17 Oct 2018; revised manuscript received 12 Dec 2018; accepted for publication 20 Dec 2018; published online 31 Dec 2018.

DOI: 10.18287/JBPE18.04.040301

Abstract

We present results of main skin chromophores (melanin and hemoglobin) optical analysis. Analysis of 91 in vivo skin tissues (50 benign and 41 malignant) was performed in visible spectral region with hyperspectral imaging technique. To assess the malignancy of skin tissues we proposed two methods for calculating the integral index of tissue optical density and performed a comparison of their effectiveness and effectiveness of physician survey. As the main diagnostic feature, we propose to use data of integral optical index dispersion from the studied tissue and healthy tissue area. The results of skin tissues classification with discriminant analysis are presented. The possibility of the proposed approaches application in the clinical practice is shown.

Keywords

Hyperspectral imaging; skin cancer; melanoma; basal cell carcinoma; skin chromophores

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References


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