Morphometry of the encephalic ventricular system in adults with normal cognitive functions

Introduction: With the introduction of modern machine learning techniques in neuroimaging, it has been possible to develop automatic classification systems and discover aging biomarkers. Objective: To determine the volumetry of the encephalic ventricular system according to age and sex. Method: An analytical observational study was developed in 320 subjects with normal neurocognitive functions and neuropsychiatric examination, aged between 30 and 79 years, who underwent single-slice computed tomography of the skull. An image segmentation method based on the analysis of homogeneous textures and interpolation was used. Results:The volumes of the brain ventricles increased with increasing age. While sex had a significant effect, obtaining higher magnitudes in the male sex. Conclusions: The neuroimaging acquisition protocol implemented allowed obtaining brain volumetric parameters, according to sex and age, in a population with normal global cognitive functions, from computed tomography images