title: Feature selection using factor analysis for Alzheimer's diagnosis using 18F-FDG PET images.
abstract: OBJECTIVE
  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 selection of voxels of interest using the t-test and a posterior reduction of the feature dimension using factor analysis. Factor loadings are used as features for three different classifiers: Two multivariate Gaussian mixture model, with linear and quadratic discriminant function, and a support vector machine with linear kernel.
  
  
  RESULTS
  An accuracy rate up to 95% when NC and AD are considered and an accuracy rate up to 88% and 86% for NC-MCI and NC-MCI,AD, respectively, are obtained using SVM with linear kernel.
  
  
  CONCLUSIONS
  Results are compared to the voxel-as-features and a PCA- based approach and the proposed methodology achieves better classification performance.
authors.affiliation: Department of Signal Theory, Networking and Communications, ETSIIT 18071, University of Granada, Granada, Spain. dsalas@ugr.es
authors.forename: D
authors.initials: D
authors.lastname: Salas-Gonzalez
authors.forename: J M
authors.initials: JM
authors.lastname: Górriz
authors.forename: J
authors.initials: J
authors.lastname: Ramírez
authors.forename: I A
authors.initials: IA
authors.lastname: Illán
authors.forename: M
authors.initials: M
authors.lastname: López
authors.forename: F
authors.initials: F
authors.lastname: Segovia
authors.forename: R
authors.initials: R
authors.lastname: Chaves
authors.forename: P
authors.initials: P
authors.lastname: Padilla
authors.forename: C G
authors.initials: CG
authors.lastname: Puntonet
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D003072:Cognition Disorders / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted; D019788:Fluorodeoxyglucose F18 / Q000493:pharmacokinetics*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D016011:Normal Distribution; D049268:Positron-Emission Tomography / Q000379:methods*; D019275:Radiopharmaceuticals / Q000493:pharmacokinetics*; D015203:Reproducibility of Results
chemical_list: D019275:Radiopharmaceuticals; D019788:Fluorodeoxyglucose F18