Research Papers: General

Multispectral imaging system based on light-emitting diodes for the detection of melanomas and basal cell carcinomas: a pilot study

[+] Author Affiliations
Xana Delpueyo, Meritxell Vilaseca, Santiago Royo, Miguel Ares, Laura Rey-Barroso, Ferran Sanabria

Technical University of Catalonia, Centre for Sensors, Instruments and Systems Development (CD6), Terrassa, Spain

Susana Puig, Josep Malvehy

Hospital Clínic i Provincial de Barcelona, Barcelona, Spain

Giovanni Pellacani

Università di Modena e Reggio Emilia, Modena, Italy

Fernando Noguero

Carril Instruments S.L., Barcelona, Spain

Giuseppe Solomita

Mavig GmbH, Munich, Germany

Thierry Bosch

Institut National Polytechnique de Tolouse, Toulouse, France

J. Biomed. Opt. 22(6), 065006 (Jun 29, 2017). doi:10.1117/1.JBO.22.6.065006
History: Received February 9, 2017; Accepted June 13, 2017
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Abstract.  This article proposes a multispectral system that uses the analysis of the spatial distribution of color and spectral features to improve the detection of skin cancer lesions, specifically melanomas and basal cell carcinomas. The system consists of a digital camera and light-emitting diodes of eight different wavelengths (414 to 995 nm). The parameters based on spectral features of the lesions such as reflectance and color, as well as others empirically computed using reflectance values, were calculated pixel-by-pixel from the images obtained. Statistical descriptors were calculated for every segmented lesion [mean (x˜), standard deviation (σ), minimum, and maximum]; descriptors based on the first-order statistics of the histogram [entropy (Ep), energy (En), and third central moment (μ3)] were also obtained. The study analyzed 429 pigmented and nonpigmented lesions: 290 nevi and 139 malignant (95 melanomas and 44 basal cell carcinomas), which were split into training and validation sets. Fifteen parameters were found to provide the best sensitivity (87.2% melanomas and 100% basal cell carcinomas) and specificity (54.5%). The results suggest that the extraction of textural information can contribute to the diagnosis of melanomas and basal cell carcinomas as a supporting tool to dermoscopy and confocal microscopy.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Xana Delpueyo ; Meritxell Vilaseca ; Santiago Royo ; Miguel Ares ; Laura Rey-Barroso, et al.
"Multispectral imaging system based on light-emitting diodes for the detection of melanomas and basal cell carcinomas: a pilot study", J. Biomed. Opt. 22(6), 065006 (Jun 29, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.6.065006


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