Learn More
This letter shows a computer-aided diagnosis (CAD) technique for the early detection of the Alzheimer's disease (AD) based on single photon emission computed tomography (SPECT) image feature selection and a statistical learning theory classifier. The challenge of the curse of dimensionality is addressed by reducing the large dimensionality of the input data(More)
Single-photon emission tomography (SPECT) imaging has been widely used to guide clinicians in the early Alzheimer's disease (AD) diagnosis challenge. However, AD detection still relies on subjective steps carried out by clinicians, which entail in some way subjectivity to the final diagnosis. In this work, kernel principal component analysis (PCA) and(More)
This letter shows a computer aided diagnosis (CAD) technique for the early detection of the Alzheimer's disease (AD) by means of single photon emission computed tomography (SPECT) image classification. The proposed method is based on partial least squares (PLS) regression model and a random forest (RF) predictor. The challenge of the curse of dimensionality(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)
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)
PURPOSE This article presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of Alzheimer's disease (AD). Two hundred and ten 18F-FDG PET images from the ADNI initiative [52 normal controls (NC), 114 mild cognitive impairment (MCI), and 53 AD subjects] are studied. METHODS The proposed methodology is based on the(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)
Keywords: Computer-aided diagnosis system Alzheimer's disease PLS GMM Support vector machine ADNI database a b s t r a c t Several approaches appear in literature in order to develop Computed-Aided-Diagnosis (CAD) systems for Alzheimer's disease (AD) detection. Although univariate models became very popular and nowadays they are widely used, recent(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)