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2022, Número 1

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Revista Cubana de Informática Médica 2022; 14 (1)


Análisis de texturas homogéneas para la estimación volumétrica de la materia cerebral por tomografía computarizada

Mesa PAA, Hernández CKS, Montoya PA, Bolaños VS, Álvarez GED

Idioma: Español
Referencias bibliográficas: 23
Paginas:
Archivo PDF: 471.48 Kb.


RESUMEN

Las aplicaciones de análisis de texturas y su extracción de características son consideradas tendencias de investigación en las neurociencias. La textura como método de análisis de imágenes ha mostrado resultados prometedores en la detección de lesiones visibles y no visibles, y en estudios de tomografía computarizada (TC) son escasos. La presente investigación tiene como objetivo determinar la aplicabilidad del procesamiento automático de índices de texturas homogéneas en la estimación volumétrica de la sustancia gris cerebral en imágenes de TC craneal. Para ello se utilizaron imágenes artificiales con regiones predefinidas y la selección de imágenes de TC en los pacientes con indicaciones previas de TC de cráneo. Dos pasos fundamentales son conducidos para la implementación de este enfoque. Como resultado se obtuvo un método automático de reconocimiento de patrones sin ventanas por medio de la extracción de características de textura homogéneas a través de la matriz de co-ocurrencia.


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