RTU Research Information System
Latviešu English

Publikācija: A Method for Skin Malformation Classification by Combining Multispectral and Skin Autofluorescence Imaging

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity Research project
Defending: ,
Publication language English (en)
Title in original language A Method for Skin Malformation Classification by Combining Multispectral and Skin Autofluorescence Imaging
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform None
Authors Ilze Lihačova
Katrina Boločko
Dmitrijs Bļizņuks
Emīlija Ploriņa
Aleksandrs Derjabo
Keywords Medical Imaging, Multi-spectral imaging, Cancer Detection, Skin Cancer
Abstract As the incidence of skin cancer is still increasing worldwide, there is a high demand for early, non-invasive and inexpensive skin lesion diagnostics. In this article we describe and combine two skin imaging methods: skin autofluorescence (AF) and multispectral criterion p'. To develop this method, we used custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LED illuminations, perpendicular positioned linear polarizers, 515 nm filter and IDS camera. Our aim is to develop a skin lesion diagnostic device for primary care physicians who do not have experience in dermatology or skin oncology. In this study we included such common benign lesion groups as seborrheic keratosis, hyperkeratosis, melanocytic nevi and hemangiomas, as well two types of skin cancers: basal cell carcinoma and melanoma. By combining skin AF and multispectral p' imaging methods, we achieved 100% sensitivity and 100% specificity for distinguishing melanoma (3 histologically confirmed cases) from seborrheic keratosis (13 dermatologically confirmed cases), hyperkeratosis (8 histologically and 1 dermatologically confirmed case), melanocytic nevi (23 dermatologically confirmed cases), basal cell carcinomas (2 histologically and 16 dermatologically confirmed cases) and hemangiomas (8 dermatologically confirmed cases). Unfortunately, currently this method cannot distinguish the basal cell carcinoma group from benign lesion groups.
DOI: 10.1117/12.2306203
Reference Lihačova, I., Boločko, K., Bļizņuks, D., Ploriņa, E., Derjabo, A. A Method for Skin Malformation Classification by Combining Multispectral and Skin Autofluorescence Imaging. In: Proceedings of SPIE, France, Strasbūra, 22-26 April, 2018. Strasbourg; France: SPIE, 2018, pp.1-9. ISSN 0277-786X. e-ISSN 1996-756X. Available from: doi:10.1117/12.2306203
Additional information Citation count:
ID 28962