Resumen

MESA PUJALS, Adrian Alberto et al. Analysis of Homogeneous Textures for the Volumetric Estimation of Brain Matter by Computed Tomography. RCIM [online]. 2022, vol.14, n.1  Epub 01-Jun-2022. ISSN 1684-1859.

Texture analysis applications and their extraction of features are considered research trends in neuroscience. Texture as a method of image analysis has shown promising results in the detection of visible and non-visible lesions, and in computed tomography (CT) studies they are scarce. The present research aims to determine the applicability of the automatic processing of homogeneous texture indices in the volumetric estimation of brain gray matter in cranial CT images. For this, artificial images with predefined regions and the selection of CT images were used in patients with previous indications for CT of the skull. Two fundamental steps are taken for the implementation of this approach. As a result, an automatic windowless pattern recognition method was obtained by means of the extraction of homogeneous texture characteristics through the co-occurrence matrix.

Palabras clave : texture analysis; feature extraction; computed tomography; brain matter.

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