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In this paper, a novel technique based on association rules (ARs) is presented in order to find relations among activated brain areas in single photon emission computed tomography (SPECT) imaging. In this sense, the aim of this work is to discover associations among attributes which characterize the perfusion patterns of normal subjects and to make use of(More)
Medical image reconstruction from projections is computa-tionally intensive task that demands solutions for reducing the processing delay in clinical diagnosis applications. This paper analyzes reconstruction methods combined with pre-and post-filtering for Single Photon Emission Computed Tomography (SPECT) in terms of convergence speed and image quality.(More)
Keywords: Alzheimer's disease (AD) Computer aided diagnosis Principal component analysis (PCA) Independent component analysis (ICA) Support vector machine (SVM) Supervised learning FDG-PET a b s t r a c t Finding sensitive and appropriate technologies for non-invasive observation and early detection of Alzheimer's disease (AD) is of fundamental importance(More)
Keywords: Computer aided diagnosis Alzheimer's disease Support vector machines Single photon emission computed tomography a b s t r a c t Alzheimer's disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with behavioural impairments and eventually causing death.(More)
This paper presents a novel method for automatic selection of regions of interest (ROIs) of functional brain images based on Gaussian mixture models (GMM), which relieves the so-called small size sample problem in the classification of functional brain images for the diagnosis of Alzheimer's disease (AD). In a first step, brain images are preprocessed in(More)
A fundamental challenge that remains unsolved in the neuroimage field is the small sample size problem. Feature selection and extraction, which are based on a limited training set, are likely to display poor generalization performance on new datasets. To address this challenge, a novel voxel selection method based on association rule (AR) mining is proposed(More)