Un nuevo método de procesamiento de imágenes para visualizar el patrón vascular del Cuello Uterino Humano

Daniel A. Botero-Rosas, Cristhian J. Murcia Garzón, Laura M. Roa Barrantes, José M. Fuentes, Juan S. León-Ariza

Resumen


El cáncer del cuello uterino es un problema de salud pública en todo el mundo. El método que más se utiliza para visualizar un cuello uterino humano y para diagnosticar el cáncer de cuello uterino es la colposcopia. Cuando se altera esta estructura, la colposcopia identifica y clasifica una serie de características de las lesiones tales como tamaños, bordes, formas y patrones vasculares. Sin embargo, continúan sin respuesta algunos inconvenientes con los hallazgos obtenidos por el método clásico colposcópico. Para mejorar la calidad de los datos obtenidos con la colposcopia, se estudiaron imágenes seleccionadas del cuello uterino humano. Además, se realizó un nuevo análisis de procesamiento utilizando los métodos top-hat y umbral directo. El árbol de análisis incluyó la selección de la imagen, la eliminación de la frecuencia de la absorción de oxihemoglobina, la máscara no afilada, el tratamiento de los reflejos especulares, el enfoque del filtro y el ajuste de los niveles de intensidad.  Se encontró que el método top-hat era superior para visualizar el patrón vascular del cuello uterino humano que el método de umbral directo (93,1% vs 85,1%, p <0,05). Estos hallazgos no estaban relacionados con el filtro que se utilizó. Estos resultados pueden ayudar a aumentar la probabilidad de detectar el cáncer de cuello uterino de los seres humanos en las etapas más tempranas de la enfermedad que son conocidas hasta la fecha.

Palabras clave


colposcopia; patrones vasculares cervicales; procesamiento de imagen digital; virus del Papiloma Humano; cáncer de cuello uterino

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Referencias


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DOI: http://dx.doi.org/10.21830/19006586.77

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