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Proceedings Paper

Analysis of cutaneous leishmaniasis hyperspectral images by means of an inverse modeling procedure
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Paper Abstract

Latin America and other places in the world have tropical regions, from which multiple diseases emerge. Cutaneous Leishmaniasis (CL) is one of the most common pathologies that attack the populations on these areas, generating an ulcer and leaving marks for life. The difficult access to appropriate medical attention of affected populations raises the need for new instruments and techniques that facilitate the diagnosis and monitoring of treatments for this disease. This article proposes a methodology of analysis of golden hamster skin with cutaneous ulcer caused by leishmaniasis through a three-layer inverse reflectance model, genetic algorithms and the Hyperspectral image acquisition system ASCLEPIOS. As a result, the concentration maps of: thickness of the epidermis (epi), epidermis plus thickness of the dermis (epiPder ), volumetric fraction of blood (Fblood), diameter of the Collagen particles (Coll), volumetric fraction of collagen (Fcoll), diameter of the Fibroblast particles (Fibro), volumetric fraction of melanin (Fmel), diameter of Keratynocytes particles (Kera), diameter of Macrophages particles (Macro), and oxygen saturation (OS) were obtained.

Paper Details

Date Published: 3 January 2020
PDF: 10 pages
Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 113300W (3 January 2020); doi: 10.1117/12.2542135
Show Author Affiliations
Deivid Botina-Monsalve, Instituto Tecnológico Metropolitano (Colombia)
July Galeano, Instituto Tecnológico Metropolitano (Colombia)
Maria C. Torres-Madronero, Instituto Tecnológico Metropolitano (Colombia)
Artur Zarzycki, Instituto Tecnológico Metropolitano (Colombia)
Johnson Garzón, Univ. Pontificia Bolivariana (Colombia)
Javier Murillo, Univ. de Antioquia (Colombia)
Sara M. Robledo, Univ. de Antioquia (Colombia)
Franck Marzani, Univ. de Bourgogne Franche-Comté (France)

Published in SPIE Proceedings Vol. 11330:
15th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva, Editor(s)

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