Using intelligent system for medical decision-making to magnetic resonance imaging

A new methodology for classification of MR images is proposed using a large data base (more than one thousand patient), for the classification of MCI patients, especially in the case of MCI-C and MCI-NC, using simultaneously all kind of features is proposed. An important goal in this paper is the identification and classification between normal subjects, MCI (Middle Cognitive Impairment) patients and AD patients, and finally, and a very interesting objective is the possibility to classify between Middle Cognitive Impairment Converters (MCI-C, this is, people that suffer a MCI and in the future will have Alzheimer’s disease, within 18 months), and Middle Cognitive Impairment Non Converters (MCI-NC, this is, people that suffer a MCI and in the future will not have Alzheimer’s disease). Besides, throughout the entire paper different techniques and methods are tested to compare them and determine which those that offer better results are.