Detection of Alzheimer’s Disease in Brain MRI Using Fractal Analysis

Alzheimer’s disease (AD) is the common neurodegenerative and irreversible disease in the population. Early detection and treatment to this disease will control the disease progression. Mostly classification of this disease is performed manually in the clinical studies. It is time consuming as well as manual classification is difficult and it is purely based on clinician’s ability. Multimodality MR Imaging techniques are used to study the Alzheimer’s disease. Brain volume study helps to find the Alzheimer’s disease precisely. Changes in the brain internal structure shows the abnormalities present in the brain. In the proposed work brain MR images are studied for detection of Alzheimer’s disease. The proposed method consist of two stages: in the first stage the MR images are pre-processed, segmented and skull stripped. In the Second stage Fractal based analysis like box counting method, differential box counting method and fractal Brownian motion analysis are performed and compared. This analysis aids to find the micro level structural changes in the brain structure which helps to identify the neurological disorder in the brain.