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

Deivid Botina-Monsalve, July Galeano, Maria C. Torres-Madronero, Artur Zarzycki, Johnson Garzón, Javier Murillo, Sara M. Robledo, Franck Marzani

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    Resumen

    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.

    Idioma originalInglés
    Título de la publicación alojada15th International Symposium on Medical Information Processing and Analysis
    EditoresEduardo Romero, Natasha Lepore, Jorge Brieva
    EditorialSPIE
    ISBN (versión digital)9781510634275
    DOI
    EstadoPublicada - 2020
    Evento15th International Symposium on Medical Information Processing and Analysis, SIPAIM 2019 - Medellin, Colombia
    Duración: 6 nov. 20198 nov. 2019

    Serie de la publicación

    NombreProceedings of SPIE - The International Society for Optical Engineering
    Volumen11330
    ISSN (versión impresa)0277-786X
    ISSN (versión digital)1996-756X

    Conferencia

    Conferencia15th International Symposium on Medical Information Processing and Analysis, SIPAIM 2019
    País/TerritorioColombia
    CiudadMedellin
    Período6/11/198/11/19

    Nota bibliográfica

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