Early Detection of Alzheimer's - A Crucial Requirement
This addresses the need for early diagnosis in Alzheimer's patients and their families, but appears incremental as it builds on existing MRI-based methods.
The paper tackles the problem of early detection of Alzheimer's disease, which is difficult due to slow progression and subtle symptoms, by proposing a new algorithm that compares patient MRI scans with those of normal individuals of the same age, enabling monitoring through periodic comparisons.
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.