Alzheimer's detection through the association of neuroimaging neuropsychological and clinical data

Abstract

Alzheimer's disease is a chronic dementia. It destroys gradually the memory and get worse over time. The diagnosis of AD is generally made very late. The great challenge is reaching an early and accurate diagnosis. In this case, to attain this goal, many computer aided diagnosis (CAD) of AD have been designed. They can be different in the choice of data but all of them participate in palliating this dementia. To contribute to the solving of AD, we propose an approach that will gather three types of data; neuroimaging, neuropsychological and clinical data.