Introduction:

The use of morphometric methods based on neuroimaging to determine brain volumetric related to aging for clinical diagnosis has been largely restricted to high-resolution imaging techniques. Texture, as a method of image analysis, has shown promising results in the detection of visible and non-visible lesions, and that in computerized axial tomography studies they are scarce.

Objective:

The objective of the study was to evaluate the effect of normal aging on the volume of the lateral ventricles, estimated from single-slice computed tomography (CT) imaging techniques, using an automatic processing method of homogeneous texture indices.

Methodology:

An observational and analytical study was developed in 320 subjects with normal neurocognitive functions and neuropsychiatric examination, aged between 30 and 75 years and over, who underwent a single-slice Computed Axial Tomography of the skull. An image segmentation method based on homogeneity was used.

Results:

The analysis of variance showed that advancing age is associated with a proportional increase in the volume of the lateral ventricles.

Conclusions:

The morphometric method of the lateral ventricles developed from CT/homogeneity segmentation images, allows to quantify the cerebral volumetric changes associated with normal aging and can be used as a biomarker of cerebral atrophy.

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