Abstract

Alzheimer’s disease (AD), Mental retardation, Cerebral Palsy, and other Dementias are the neurogenerative brain disorders which are statistically proven that 2% - 3% of people affected in the world today. The proposed method considered the symptoms which stands distinct for Alzheimer’s disease. Many structural neuroimaging studies have found the atrophy of the Corpus Callosum (CC) and the decrease in brain volume in AD. The measurement, area has been extracted from the gradient mask of the image to characterize the local atrophy of the CC. The result showed decreased area of the CC in AD when compared to the control groups. The volume has also been calculated by volume rendering and voxel size measurement for the same set of control groups and was found to be reduced in the AD patients. These findings confirmed the pathology characteristics in AD of brain disorders. The system’s validity with respect to results obtained with conventional diagnosis has been examined and proved to offer better results.

Highlights

  • In 2010, there are 3.7 million Indians with dementia and the total societal costs is about 14,700 crore and the numbers are expected to be double in 2030

  • We have considered the parameters of the size of corpus callosum (CC) and Total brain volume to detect the Alzheimer’s Disease (AD), based on the previous work [9,10,11,12]

  • We examined the regional area of CC and the volume of the brain between the AD and control groups

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Summary

Introduction

In 2010, there are 3.7 million Indians with dementia and the total societal costs is about 14,700 crore and the numbers are expected to be double in 2030. Dementia is a syndrome usually chronic, characterized by a progresssive, overall deterioration in intellect including memory, learning, orientation, language, comprehension and judgments due to disease of the brain. It mainly affects older people, around 2% of cases start before the age of 65 years. Dementia is one of the major causes of disability in late-life. The dementia syndrome is linked to a very large number of underlying causes and diseases in the brain

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