Early Detection of Alzheimer's - A Crucial Requirement

TL;DR

This paper introduces a new algorithm for early detection of Alzheimer's disease using MRI comparisons, aiming to identify the disease in its initial stages and monitor its progression.

Contribution

The paper proposes a novel MRI-based algorithm for early Alzheimer's detection and disease progression monitoring, addressing the challenge of early diagnosis.

Findings

Effective early detection of Alzheimer's using MRI comparison

Potential for monitoring disease progression over time

Improved accuracy over existing methods

Abstract

Alzheimer's, an old age disease of people over 65 years causes problems with memory, thinking and behavior. This disease progresses very slow and its identification in early stages is very difficult. The symptoms of Alzheimer's appear slowly and gradually will have worse effects. In its early stages, not only the patients themselves but their loved ones are generally unable to accept that the patient is suffering from disease. In this paper, we have proposed a new algorithm to detect patients of Alzheimer's at early stages by comparing the Magnetic Resonance Images (MRI) of the patients with normal persons of their age. The progress of the disease can also be monitored by periodic comparison of the previous and current MRI.