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This paper presents medical image retrieval for Alzheimer’s disease based on information extracted from multiple time points. The aim is to analyze the retrieval performance directed by the information combination of different time points and from each time point separately. For each subject, Magnetic Resonance Images (MRI) of four consecutive time points are obtained from ADNI database. Measurements of cortical and subcortical brain structures, including volumes and cortical thickness of the brain regions are used as features. The feature selection is performed aiming to select the most relevant features and reduce redundant and possibly noisy data.

Medical Image Retrieval for Alzheimer’s Disease Using Data from Multiple Time Points