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Computer Optics, 2019, Volume 43, Issue 4, Pages 661–670 (Mi co690)  

IMAGE PROCESSING, PATTERN RECOGNITION

Hyperspectral in vivo analysis of normal skin chromophores and visualization of oncological pathologies

V. Sherendaka, I. A. Bratchenkoa, O. O. Myakinina, P. Volkhina, Yu. Khristoforovaa, A. A. Moryatovb, A. S. Machikhinc, V. È. Pozharc, S. V. Kozlovb, V. P. Zakharova

a Samara National Research University, Moskovskoye Shosse 34, 443086, Samara, Russia; 2 Samara State Medical University, Samara, Russia
b Samara State Medical University, Samara, Russia
c Scientific and Technological Center of Unique Instrumentation RAS, Moscow, Russia

Abstract: In the paper, we present test results of methods for the noninvasive diagnosis of skin neoplasms, based on the hyperspectral registration of images by using a camera with an acousto-optic tunable filter. For the identification of oncological pathologies, an integral spectral index has been proposed for a set of concentric regions around the source of neoplasm growth for the tissue sample under study. As well as taking account of changes in the spectral properties of the tissue, the introduced index indirectly takes into account classical ABCD dermatoscopic features: asymmetry, border irregularity, color diversity, and the tumor diameter. Results of training set separating are presented and the applicability of the proposed approaches to the clinical practice is shown.

Keywords: hyperspectral imaging, chromophores, melanin, hemoglobin, oncopathology, malignant melanoma, basal cell carcinoma, acousto-optical video spectrometer, optical density, chromophore index, classification.

Funding Agency Grant Number
Russian Foundation for Basic Research 17-32-50045 ًٌَ_ٍِ
جت1888.2019.2
The work was funded by the Russian Foundation for Basic Research under RFBR grant No. 17-32-50045 mol_nr and the Russian Federation President's grant for the state support of young scientists (project MK-1888.2019.2).


DOI: https://doi.org/10.18287/2412-6179-2019-43-4-661-670

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Full text: http://www.computeroptics.smr.ru/.../430419.html
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Received: 03.05.2018
Accepted:24.05.2019

Citation: V. Sherendak, I. A. Bratchenko, O. O. Myakinin, P. Volkhin, Yu. Khristoforova, A. A. Moryatov, A. S. Machikhin, V. È. Pozhar, S. V. Kozlov, V. P. Zakharov, “Hyperspectral in vivo analysis of normal skin chromophores and visualization of oncological pathologies”, Computer Optics, 43:4 (2019), 661–670

Citation in format AMSBIB
\Bibitem{SheBraMya19}
\by V.~Sherendak, I.~A.~Bratchenko, O.~O.~Myakinin, P.~Volkhin, Yu.~Khristoforova, A.~A.~Moryatov, A.~S.~Machikhin, V.~\`E.~Pozhar, S.~V.~Kozlov, V.~P.~Zakharov
\paper Hyperspectral in vivo analysis of normal skin chromophores and visualization of oncological pathologies
\jour Computer Optics
\yr 2019
\vol 43
\issue 4
\pages 661--670
\mathnet{http://mi.mathnet.ru/co690}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-4-661-670}


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