Autofluorescence imaging of basal cell carcinoma by smartphone RGB camera

Alexey Lihachev; Alexander Derjabo; Inesa Ferulova; Marta Lange; Ilze Lihacova; Janis Spigulis

doi:10.1117/1.JBO.20.12.120502

Autofluorescence imaging of basal cell carcinoma by smartphone RGB camera

Alexey Lihachev (Corresponding Author), Alexander Derjabo, Inesa Ferulova, Marta Lange, Ilze Lihacova, Janis Spigulis

Research output: Contribution to journal › Article › peer-review

36 Citations (Scopus)

Abstract

The feasibility of smartphones for in vivo skin autofluorescence imaging has been investigated. Filtered autofluorescence images from the same tissue area were periodically captured by a smartphone RGB camera with subsequent detection of fluorescence intensity decreasing at each image pixel for further imaging the planar distribution of those values. The proposed methodology was tested clinically with 13 basal cell carcinoma and 1 atypical nevus. Several clinical cases and potential future applications of the smartphone-based technique are discussed.

Original language	English
Article number	120502
Journal	Journal of Biomedical Optics
Volume	20
Issue number	12
DOIs	https://doi.org/10.1117/1.JBO.20.12.120502
Publication status	Published - 1 Dec 2015
Externally published	Yes

Keywords*

autofluorescence
photobleaching
RGB imaging
smartphone

Field of Science*

1.3 Physical sciences
2.6 Medical engineering

Publication Type*

1.1. Scientific article indexed in Web of Science and/or Scopus database

Access to Document

10.1117/1.JBO.20.12.120502

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title = "Autofluorescence imaging of basal cell carcinoma by smartphone RGB camera",

abstract = "The feasibility of smartphones for in vivo skin autofluorescence imaging has been investigated. Filtered autofluorescence images from the same tissue area were periodically captured by a smartphone RGB camera with subsequent detection of fluorescence intensity decreasing at each image pixel for further imaging the planar distribution of those values. The proposed methodology was tested clinically with 13 basal cell carcinoma and 1 atypical nevus. Several clinical cases and potential future applications of the smartphone-based technique are discussed.",

keywords = "autofluorescence, photobleaching, RGB imaging, smartphone",

author = "Alexey Lihachev and Alexander Derjabo and Inesa Ferulova and Marta Lange and Ilze Lihacova and Janis Spigulis",

note = "Publisher Copyright: {\textcopyright} 2015 Society of Photo-Optical Instrumentation Engineers (SPIE).",

year = "2015",

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T1 - Autofluorescence imaging of basal cell carcinoma by smartphone RGB camera

AU - Lihachev, Alexey

AU - Derjabo, Alexander

AU - Ferulova, Inesa

AU - Lange, Marta

AU - Lihacova, Ilze

AU - Spigulis, Janis

PY - 2015/12/1

Y1 - 2015/12/1

N2 - The feasibility of smartphones for in vivo skin autofluorescence imaging has been investigated. Filtered autofluorescence images from the same tissue area were periodically captured by a smartphone RGB camera with subsequent detection of fluorescence intensity decreasing at each image pixel for further imaging the planar distribution of those values. The proposed methodology was tested clinically with 13 basal cell carcinoma and 1 atypical nevus. Several clinical cases and potential future applications of the smartphone-based technique are discussed.

AB - The feasibility of smartphones for in vivo skin autofluorescence imaging has been investigated. Filtered autofluorescence images from the same tissue area were periodically captured by a smartphone RGB camera with subsequent detection of fluorescence intensity decreasing at each image pixel for further imaging the planar distribution of those values. The proposed methodology was tested clinically with 13 basal cell carcinoma and 1 atypical nevus. Several clinical cases and potential future applications of the smartphone-based technique are discussed.

KW - autofluorescence

KW - photobleaching

KW - RGB imaging

KW - smartphone

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U2 - 10.1117/1.JBO.20.12.120502

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SN - 1083-3668

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JO - Journal of Biomedical Optics

JF - Journal of Biomedical Optics

IS - 12

M1 - 120502

ER -

Autofluorescence imaging of basal cell carcinoma by smartphone RGB camera

Abstract

Keywords*

Field of Science*

Publication Type*

Access to Document

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