METHOD AND AUTOMATED SYSTEM FOR ASSISTING IN THE PROGNOSIS OF ALZHEIMER'S DISEASE, AND METHOD FOR TRAINING SUCH A SYSTEM

摘要

The invention relates to a method and an automated system for assisting in the prognosis of the progress of, and for assisting in the diagnosis of, Alzheimer's disease in patients having mild cognitive impairment, or MCI. The invention also relates to a method for training such a system related to identifying discriminant regions of the brain and using said regions to fine tune the assistance method based on new known cases. The invention uses imaging data (PET or MPET) representing the cerebral activity in a plurality of spatial areas (voxels). The method thus includes an image data standardization process and an analysis of cerebral activity values noted in a selection of voxels forming at least one predetermined discriminant region defined by the coordinates thereof in a spatial reference system. The invention may also include a combination of the imaging results with the results of one or more cognitive tests.