Volta

Identification of MRI-Derived Structural Biomarkers in Female Alzheimer’s Disease Subjects Using CAT12 and Mimics: Effects of Voxel Geometry on Biomarker Estimation

Alzheimer’s disease (AD) is the leading cause of dementia and disproportionately affects women, who experience a higher lifetime risk and more rapid structural brain changes than men. Reliable imaging biomarkers are essential for detecting these changes, although their estimation may be influenced by voxel geometry, image resolution, and segmentation methodology. In this study, magnetic resonance imaging (MRI) scans from 40 female participants with AD obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database were analyzed using the Computational Anatomy Toolbox 12 (CAT12), implemented within Statistical Parametric Mapping 12 (SPM12), and Materialise Mimics to identify structural biomarkers associated with neurodegeneration. Cortical thickness, gray matter (GM), white matter (WM), cerebrospinal fluid (CSF), and total intracranial volume (TIV) were quantified, while Brain Parenchymal …

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