Multispectral and autofluorescence RGB imaging for skin cancer diagnostics

V. Lukinsone; I. Kuzmina; R. Veilande; E. V. Plorina; D. Bliznuks; K. Bolochko; A. Derjabo; I. Lihacova; J. Spigulis

doi:10.1117/12.2518882

Multispectral and autofluorescence RGB imaging for skin cancer diagnostics

V. Lukinsone
, I. Kuzmina
, R. Veilande
, E. V. Plorina
, D. Bliznuks
, K. Bolochko
, A. Derjabo
, I. Lihacova
, J. Spigulis

University of Latvia
Riga Technical University
Riga East University Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

10 Citations (Scopus)

Abstract

This paper presents the results of statistical clinical data, combining two diagnostic methods. A combination of two skin imaging methods - diffuse reflectance and autofluorescence - has been applied for skin cancer diagnostics. Autofluorescence (AF) and multispectral diffuse reflectance images were acquired by custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LEDs and RGB CMOS camera. Parameter p' was calculated from diffuse reflectance images under green, red and infrared illumination, AF intensity (I') was calculated from AF images exited at 405nm wavelength. Obtained results show that criterion p' > 1 gives possibility to discriminate melanomas and different kind of keratosis from other lesions, and criterion I' < 0.2 gives the possibility to discriminate melanomas from keratosis.

Original language	English
Title of host publication	Saratov Fall Meeting 2018
Subtitle of host publication	Optical and Nano-Technologies for Biology and Medicine
Editors	Elina A. Genina, Elina A. Genina, Valery V. Tuchin, Valery V. Tuchin
Publisher	SPIE
ISBN (Electronic)	9781510628205
DOIs	https://doi.org/10.1117/12.2518882
Publication status	Published - 2019
Event	Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, SFM 2018 - Saratov, Russian Federation Duration: 24 Sept 2018 → 28 Sept 2018

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	11065
ISSN (Print)	1605-7422

Conference

Conference	Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, SFM 2018
Country/Territory	Russian Federation
City	Saratov
Period	24/09/18 → 28/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Autofluorescences imaging
Multispectral imaging
Skin neoplasms diagnostics

Access to Document

10.1117/12.2518882

Cite this

Lukinsone, V., Kuzmina, I., Veilande, R., Plorina, E. V., Bliznuks, D., Bolochko, K., Derjabo, A., Lihacova, I., & Spigulis, J. (2019). Multispectral and autofluorescence RGB imaging for skin cancer diagnostics. In E. A. Genina, E. A. Genina, V. V. Tuchin, & V. V. Tuchin (Eds.), Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine Article 110650A (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11065). SPIE. https://doi.org/10.1117/12.2518882

Lukinsone, V. ; Kuzmina, I. ; Veilande, R. et al. / Multispectral and autofluorescence RGB imaging for skin cancer diagnostics. Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine. editor / Elina A. Genina ; Elina A. Genina ; Valery V. Tuchin ; Valery V. Tuchin. SPIE, 2019. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

@inproceedings{131be31d65ef44f28e198ef3e92638bc,

title = "Multispectral and autofluorescence RGB imaging for skin cancer diagnostics",

abstract = "This paper presents the results of statistical clinical data, combining two diagnostic methods. A combination of two skin imaging methods - diffuse reflectance and autofluorescence - has been applied for skin cancer diagnostics. Autofluorescence (AF) and multispectral diffuse reflectance images were acquired by custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LEDs and RGB CMOS camera. Parameter p' was calculated from diffuse reflectance images under green, red and infrared illumination, AF intensity (I') was calculated from AF images exited at 405nm wavelength. Obtained results show that criterion p' > 1 gives possibility to discriminate melanomas and different kind of keratosis from other lesions, and criterion I' < 0.2 gives the possibility to discriminate melanomas from keratosis.",

keywords = "Autofluorescences imaging, Multispectral imaging, Skin neoplasms diagnostics",

author = "V. Lukinsone and I. Kuzmina and R. Veilande and Plorina, \{E. V.\} and D. Bliznuks and K. Bolochko and A. Derjabo and I. Lihacova and J. Spigulis",

note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, SFM 2018 ; Conference date: 24-09-2018 Through 28-09-2018",

year = "2019",

doi = "10.1117/12.2518882",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Genina, \{Elina A.\} and Genina, \{Elina A.\} and Tuchin, \{Valery V.\} and Tuchin, \{Valery V.\}",

booktitle = "Saratov Fall Meeting 2018",

address = "United States",

}

Lukinsone, V, Kuzmina, I, Veilande, R, Plorina, EV, Bliznuks, D, Bolochko, K, Derjabo, A, Lihacova, I & Spigulis, J 2019, Multispectral and autofluorescence RGB imaging for skin cancer diagnostics. in EA Genina, EA Genina, VV Tuchin & VV Tuchin (eds), Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine., 110650A, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11065, SPIE, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, SFM 2018, Saratov, Russian Federation, 24/09/18. https://doi.org/10.1117/12.2518882

Multispectral and autofluorescence RGB imaging for skin cancer diagnostics. / Lukinsone, V.; Kuzmina, I.; Veilande, R. et al.
Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine. ed. / Elina A. Genina; Elina A. Genina; Valery V. Tuchin; Valery V. Tuchin. SPIE, 2019. 110650A (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11065).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

TY - GEN

T1 - Multispectral and autofluorescence RGB imaging for skin cancer diagnostics

AU - Lukinsone, V.

AU - Kuzmina, I.

AU - Veilande, R.

AU - Plorina, E. V.

AU - Bliznuks, D.

AU - Bolochko, K.

AU - Derjabo, A.

AU - Lihacova, I.

AU - Spigulis, J.

PY - 2019

Y1 - 2019

N2 - This paper presents the results of statistical clinical data, combining two diagnostic methods. A combination of two skin imaging methods - diffuse reflectance and autofluorescence - has been applied for skin cancer diagnostics. Autofluorescence (AF) and multispectral diffuse reflectance images were acquired by custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LEDs and RGB CMOS camera. Parameter p' was calculated from diffuse reflectance images under green, red and infrared illumination, AF intensity (I') was calculated from AF images exited at 405nm wavelength. Obtained results show that criterion p' > 1 gives possibility to discriminate melanomas and different kind of keratosis from other lesions, and criterion I' < 0.2 gives the possibility to discriminate melanomas from keratosis.

AB - This paper presents the results of statistical clinical data, combining two diagnostic methods. A combination of two skin imaging methods - diffuse reflectance and autofluorescence - has been applied for skin cancer diagnostics. Autofluorescence (AF) and multispectral diffuse reflectance images were acquired by custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LEDs and RGB CMOS camera. Parameter p' was calculated from diffuse reflectance images under green, red and infrared illumination, AF intensity (I') was calculated from AF images exited at 405nm wavelength. Obtained results show that criterion p' > 1 gives possibility to discriminate melanomas and different kind of keratosis from other lesions, and criterion I' < 0.2 gives the possibility to discriminate melanomas from keratosis.

KW - Autofluorescences imaging

KW - Multispectral imaging

KW - Skin neoplasms diagnostics

UR - https://www.scopus.com/pages/publications/85068444244

U2 - 10.1117/12.2518882

DO - 10.1117/12.2518882

M3 - Conference paper

AN - SCOPUS:85068444244

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Saratov Fall Meeting 2018

A2 - Genina, Elina A.

A2 - Tuchin, Valery V.

PB - SPIE

T2 - Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, SFM 2018

Y2 - 24 September 2018 through 28 September 2018

ER -

Lukinsone V, Kuzmina I, Veilande R, Plorina EV, Bliznuks D, Bolochko K et al. Multispectral and autofluorescence RGB imaging for skin cancer diagnostics. In Genina EA, Genina EA, Tuchin VV, Tuchin VV, editors, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine. SPIE. 2019. 110650A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2518882

Multispectral and autofluorescence RGB imaging for skin cancer diagnostics

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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