Volumetric Analysis of Choroid Plexus for the Early Detection of Alzheimer's Disease

Alzheimer's Disease (AD) is a chronic cognitive neurodegenerative condition characterized by cognitive dysfunction, including memory loss and language impairment. This research introduces a Computer-Aided Detection (CAD) system designed for the early detection of AD through the calculation of volume of Choroid Plexus (CP). The study incorporates seventy-five T1-weighted image samples, each comprising twenty-five cases of AD, Neuropathological Change (NC), and Mild Cognitive Impairment (MCI). CP volume is determined by computing compactness and circularity. The methodology involves skull stripping, followed by Canny edge detection and morphological filtering to identify the Region of Interest (ROI). Compactness and circularity are then calculated from the ROI. Classification of MRI images into AD, MCI, and NC is based on predetermined values for compactness and circularity of CP. The study reveals average compactness values of 107.48, 82.34, and 66 for AD, NC, and MCI, respectively, with corresponding circularity values of 0.13, 0.16, and 0.22.