Paper
27 April 2016 Hyperspectral imaging of skin and lung cancers
Larisa A. Zherdeva, Ivan A. Bratchenko, Marina V. Alonova, Oleg O. Myakinin, Dmitry N. Artemyev, Alexander A. Moryatov, Sergey V. Kozlov, Valery P. Zakharov
Author Affiliations +
Abstract
The problem of cancer control requires design of new approaches for instrumental diagnostics, as the accuracy of cancer detection on the first step of diagnostics in clinics is slightly more than 50%. In this study, we present a method of visualization and diagnostics of skin and lung tumours based on registration and processing of tissues hyperspectral images. In a series of experiments registration of hyperspectral images of skin and lung tissue samples is carried out. Melanoma, basal cell carcinoma, nevi and benign tumours are studied in skin ex vivo and in vivo experiments; adenocarcinomas and squamous cell carcinomas are studied in ex vivo lung experiments. In a series of experiments the typical features of diffuse reflection spectra for pathological and normal tissues were found. Changes in tissues morphology during the tumour growth lead to the changes of blood and pigments concentration, such as melanin in skin. That is why tumours and normal tissues maybe differentiated with information about spectral response in 500-600 nm and 600 – 670 nm areas. Thus, hyperspectral imaging in the visible region may be a useful tool for cancer detection as it helps to estimate spectral properties of tissues and determine malignant regions for precise resection of tumours.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Larisa A. Zherdeva, Ivan A. Bratchenko, Marina V. Alonova, Oleg O. Myakinin, Dmitry N. Artemyev, Alexander A. Moryatov, Sergey V. Kozlov, and Valery P. Zakharov "Hyperspectral imaging of skin and lung cancers", Proc. SPIE 9887, Biophotonics: Photonic Solutions for Better Health Care V, 98870S (27 April 2016); https://doi.org/10.1117/12.2227602
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Cited by 4 scholarly publications.
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KEYWORDS
Tissues

Skin

Melanoma

Hyperspectral imaging

Lung

Lung cancer

Lung cancer

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