Differentiation of basal cell carcinoma and healthy skin using multispectral modulation autofluorescence imaging: A pilot study

Nikita V. Chernomyrdin; Anastasiya D. Lesnichaya; Egor V. Yakovlev; Konstantin G. Kudrin; Olga P. Cherkasova; Elena N. Rimskaya; Vladimir N. Kurlov; Valeriy E. Karasik; Igor V. Reshetov; Valery V. Tuchin; Kirill I. Zaytsev

doi:10.18287/JBPE19.05.010302

Authors

Nikita V. Chernomyrdin Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia Bauman Moscow State Technical University, Moscow, Russia
Anastasiya D. Lesnichaya Bauman Moscow State Technical University, Moscow, Russia
Egor V. Yakovlev Bauman Moscow State Technical University, Moscow, Russia
Konstantin G. Kudrin Sechenov University, Moscow, Russia
Olga P. Cherkasova Institute of Laser Physics of Siberian Branch of RAS, Novosibirsk, Russia
Elena N. Rimskaya Bauman Moscow State Technical University, Moscow, Russia Sechenov University, Moscow, Russia
Vladimir N. Kurlov Institute of Solid State Physics of RAS, Chernogolovka, Moscow Obl., Russia
Valeriy E. Karasik Bauman Moscow State Technical University, Moscow, Russia
Igor V. Reshetov Sechenov University, Moscow, Russia
Valery V. Tuchin Saratov State University, Saratov, Russia Tomsk State University, Tomsk, Russia Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russia
Kirill I. Zaytsev Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia Bauman Moscow State Technical University, Moscow, Russia

DOI:

https://doi.org/10.18287/JBPE19.05.010302

Keywords:

multispectral fluorescence imaging, autofluorescence phenomenon, medical diagnosis, basal cell carcinoma, linear discriminant analysis

Abstract

An approach for differentiating basal cell carcinoma (BCC) and healthy skin by combining a multispectral modulation autofluorescence imaging with the linear discriminant analysis has been proposed. The experimental setup, which employs a 365-nm narrowband excitation, 4 replaceable bandpass filters and a digital camera, has been assembled and applied to study freshly excised samples of BCC. In the experimental setup, modulation of the UV-excitation and demodulation of the visible light images allow for both increasing a signal-to-noise ratio and suppressing a non-fluorescence background in the autofluorescence images of tissues. The observed results demonstrate an ability for distinguishing both ordinary and keratinized BCC from healthy skin justifying the perspectives of the multispectral modulation autofluorescence imaging use for non-invasive and intraoperative diagnosis of BCC and other low-pigmented malignancies of the skin.

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