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Communication Dans Un Congrès Année : 2020

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

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Résumé

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. © (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Dates et versions

hal-02487068 , version 1 (21-02-2020)

Identifiants

Citer

Deivid Botina-Monsalve, July Galeano, Maria Torres-Madronero, Artur Zarzycki, Johnson Garzón, et al.. Analysis of cutaneous leishmaniasis hyperspectral images by means of an inverse modeling procedure. 15th International Symposium on Medical Information Processing and Analysis, Nov 2019, Medelin, Colombia. pp.13, ⟨10.1117/12.2542135⟩. ⟨hal-02487068⟩
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