Evaluation of skin pathologies by RGB autofluorescence imaging

Alexey Lihachev; Emilija V. Plorina; Alexander Derjabo; Marta Lange; Ilze Lihacova

doi:10.1117/12.2297007

Evaluation of skin pathologies by RGB autofluorescence imaging

Alexey Lihachev
, Emilija V. Plorina
, Alexander Derjabo
, Marta Lange
, Ilze Lihacova

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

Abstract

A clinical trial on autofluorescence imaging of malignant and non-malignant skin pathologies comprising 32 basal cell carcinomas (BCC), 4 malignant melanomas (MM), 1 squamous cell carcinoma (SCC), 89 nevi, 14 dysplastic nevi, 20 hemangiomas, 23 seborrheic keratoses, 4 hyperkeratoses, 3 actinic keratoses, 3 psoriasis, 1 dematitis, 2 dermatofibromas, 5 papillofibromas, 12 lupus erythematosus, 7 purpura, 6 bruises, 5 freckles, 3 fungal infections, 1 burn, 1 tattoo, 1 age spot, 1 vitiligo, 32 postoperative scars, 8 post cream therapy BCCs, 4 post radiation therapy scars, 2 post laser therapy scars, 1 post freezing scar as well as 114 reference images of healthy skin was performed. The sequence of autofluorescence images of skin pathologies were recorded by smartphone RGB camera under continuous 405 nm LED excitation during 20 seconds with 0.5 fps. Obtained image sequences further were processed with subsequent extraction of autofluorescence intensity and photobleaching parameters.

Original language	English
Title of host publication	Biophotonics - Riga 2017
Editors	Janis Spigulis
Publisher	SPIE
ISBN (Electronic)	9781510616769
DOIs	https://doi.org/10.1117/12.2297007
Publication status	Published - 2017
Externally published	Yes
Event	2nd International Conference on Biophotonics-Riga 2017 - Riga, Latvia Duration: 27 Aug 2017 → 29 Aug 2017 Conference number: 2 https://www.proceedings.com/spie10592.html

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10592
ISSN (Print)	1605-7422

Conference

Conference	2nd International Conference on Biophotonics-Riga 2017
Abbreviated title	BPR 2017
Country/Territory	Latvia
City	Riga
Period	27/08/17 → 29/08/17
Internet address	https://www.proceedings.com/spie10592.html

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords*

Autofluorescence
Image processing
Photobleaching
Skin cancer

Field of Science*

2.6 Medical engineering
1.3 Physical sciences

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

Access to Document

10.1117/12.2297007

Cite this

@inproceedings{3951561307ca4540b38904b988c97ab0,

title = "Evaluation of skin pathologies by RGB autofluorescence imaging",

abstract = "A clinical trial on autofluorescence imaging of malignant and non-malignant skin pathologies comprising 32 basal cell carcinomas (BCC), 4 malignant melanomas (MM), 1 squamous cell carcinoma (SCC), 89 nevi, 14 dysplastic nevi, 20 hemangiomas, 23 seborrheic keratoses, 4 hyperkeratoses, 3 actinic keratoses, 3 psoriasis, 1 dematitis, 2 dermatofibromas, 5 papillofibromas, 12 lupus erythematosus, 7 purpura, 6 bruises, 5 freckles, 3 fungal infections, 1 burn, 1 tattoo, 1 age spot, 1 vitiligo, 32 postoperative scars, 8 post cream therapy BCCs, 4 post radiation therapy scars, 2 post laser therapy scars, 1 post freezing scar as well as 114 reference images of healthy skin was performed. The sequence of autofluorescence images of skin pathologies were recorded by smartphone RGB camera under continuous 405 nm LED excitation during 20 seconds with 0.5 fps. Obtained image sequences further were processed with subsequent extraction of autofluorescence intensity and photobleaching parameters.",

keywords = "Autofluorescence, Image processing, Photobleaching, Skin cancer",

author = "Alexey Lihachev and Plorina, \{Emilija V.\} and Alexander Derjabo and Marta Lange and Ilze Lihacova",

note = "Funding Information: This work was supported by the European Regional Development Fund project “Portable Device for Non-contact Early Diagnostics of Skin Cancer” (No. 1.1.1.1/16/A/197). Publisher Copyright: {\textcopyright} 2017 SPIE.; 2nd International Conference on Biophotonics-Riga 2017, BPR 2017 ; Conference date: 27-08-2017 Through 29-08-2017",

year = "2017",

doi = "10.1117/12.2297007",

language = "English",

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

publisher = "SPIE",

editor = "Janis Spigulis",

booktitle = "Biophotonics - Riga 2017",

address = "United States",

url = "https://www.proceedings.com/spie10592.html",

}

Lihachev, A, Plorina, EV, Derjabo, A, Lange, M & Lihacova, I 2017, Evaluation of skin pathologies by RGB autofluorescence imaging. in J Spigulis (ed.), Biophotonics - Riga 2017., 1059207, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10592, SPIE, 2nd International Conference on Biophotonics-Riga 2017, Riga, Latvia, 27/08/17. https://doi.org/10.1117/12.2297007

Evaluation of skin pathologies by RGB autofluorescence imaging. / Lihachev, Alexey; Plorina, Emilija V.; Derjabo, Alexander et al.
Biophotonics - Riga 2017. ed. / Janis Spigulis. SPIE, 2017. 1059207 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10592).

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

TY - GEN

T1 - Evaluation of skin pathologies by RGB autofluorescence imaging

AU - Lihachev, Alexey

AU - Plorina, Emilija V.

AU - Derjabo, Alexander

AU - Lange, Marta

AU - Lihacova, Ilze

N1 - Conference code: 2

PY - 2017

Y1 - 2017

N2 - A clinical trial on autofluorescence imaging of malignant and non-malignant skin pathologies comprising 32 basal cell carcinomas (BCC), 4 malignant melanomas (MM), 1 squamous cell carcinoma (SCC), 89 nevi, 14 dysplastic nevi, 20 hemangiomas, 23 seborrheic keratoses, 4 hyperkeratoses, 3 actinic keratoses, 3 psoriasis, 1 dematitis, 2 dermatofibromas, 5 papillofibromas, 12 lupus erythematosus, 7 purpura, 6 bruises, 5 freckles, 3 fungal infections, 1 burn, 1 tattoo, 1 age spot, 1 vitiligo, 32 postoperative scars, 8 post cream therapy BCCs, 4 post radiation therapy scars, 2 post laser therapy scars, 1 post freezing scar as well as 114 reference images of healthy skin was performed. The sequence of autofluorescence images of skin pathologies were recorded by smartphone RGB camera under continuous 405 nm LED excitation during 20 seconds with 0.5 fps. Obtained image sequences further were processed with subsequent extraction of autofluorescence intensity and photobleaching parameters.

AB - A clinical trial on autofluorescence imaging of malignant and non-malignant skin pathologies comprising 32 basal cell carcinomas (BCC), 4 malignant melanomas (MM), 1 squamous cell carcinoma (SCC), 89 nevi, 14 dysplastic nevi, 20 hemangiomas, 23 seborrheic keratoses, 4 hyperkeratoses, 3 actinic keratoses, 3 psoriasis, 1 dematitis, 2 dermatofibromas, 5 papillofibromas, 12 lupus erythematosus, 7 purpura, 6 bruises, 5 freckles, 3 fungal infections, 1 burn, 1 tattoo, 1 age spot, 1 vitiligo, 32 postoperative scars, 8 post cream therapy BCCs, 4 post radiation therapy scars, 2 post laser therapy scars, 1 post freezing scar as well as 114 reference images of healthy skin was performed. The sequence of autofluorescence images of skin pathologies were recorded by smartphone RGB camera under continuous 405 nm LED excitation during 20 seconds with 0.5 fps. Obtained image sequences further were processed with subsequent extraction of autofluorescence intensity and photobleaching parameters.

KW - Autofluorescence

KW - Image processing

KW - Photobleaching

KW - Skin cancer

UR - https://www.scopus.com/pages/publications/85040719493

U2 - 10.1117/12.2297007

DO - 10.1117/12.2297007

M3 - Conference contribution

AN - SCOPUS:85040719493

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

BT - Biophotonics - Riga 2017

A2 - Spigulis, Janis

PB - SPIE

T2 - 2nd International Conference on Biophotonics-Riga 2017

Y2 - 27 August 2017 through 29 August 2017

ER -

Evaluation of skin pathologies by RGB autofluorescence imaging

Abstract

Publication series

Conference

UN SDGs

Keywords*

Field of Science*

Publication Type*

Access to Document

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Cite this