Diagnosis of alzheimer disease through detection of eyes retinal blood vessels

Abstract

Today, Alzheimer's disease is rapidly growing and spreading. The disease is caused by the accumulation of Amyloid plaque deposits, thereby destroying the connection between nerve cells and the formation of neurofibrillary nods. According to recent research, one of the ways to diagnose Alzheimer's disease is by reflecting light into the patient's retinal blood vessels and using a machine vision system. Therefore, in this study, we have attempted to introduce a method to detect human retinal blood vessels to improve the disease. In the above method, using DRIVE bank images, they are first clustered and after applying the Unsharp filter and Radon conversion, the vessel is diagnosed so that early detection of Alzheimer's disease by counting the number of vessels present.