A variety of multi-spectral imaging devices is commercially available and used for skin diagnostics and monitoring; however, an alternative cost-efficient device can provide an advanced spectral analysis of skin. A compact multimodal device for diagnosis of pigmented skin lesions was developed and tested. A polarized LED light source illuminates the skin surface at four different wavelengths – blue (450 nm), green (545 nm), red (660 nm) and infrared (940 nm). Spectra of reflected light from the 25 mm wide skin spot are imaged by a CMOS sensor. Four spectral images are obtained for mapping of the main skin chromophores. The specific chromophore distribution differences between different skin malformations were analyzed and information of subcutaneous structures was consecutively extracted.
Many spectral imaging devices are commercially available and used to detect certain skin pathology; however an
alternative cost-efficient device can provide an advanced spectral analisys of skin. Multispectral device for diagnosis of
pigmented skin lesions was developed and tested. Possibilities to map skin chromophores using a modified low-cost
digital video-microscope is discussed. It was adapted for an advanced skin microscopy and used for detailed spectral
analysis of skin. The device comprises CMOS digital imaging sensor, four-colour LED illumination system and image
acquisition optics. The main goal is to obtain a set of spectral images of the skin area of interest for further conversion
into maps of the main skin chromophores.
Possibilities to map skin chromophores using a modified low-cost digital video-microscope is discussed. The device
comprises CMOS digital imaging sensor, four-colour LED illumination system and image acquisition optics. The main
goal is to obtain a set of spectral images of the skin area of interest for further conversion into maps of the main skin
chromophores
A clinical trial involving multi-spectral imaging of histologically confirmed 8 basaliomas and 30 melanomas was
performed. Parametric maps of the melanin index, erythema index and melanoma-nevus differentiation parameter have
been constructed and mutually compared. Specific features of basalioma and melanoma images were analyzed and
discussed.
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