title: [Fast and accurate numerical method for principal components analysis dealing with large image data sets].
abstract: The principal components analysis has been applied to various imaging studies in nuclear medicine. This technical report describes a fast and accurate numerical method of calculating eigenvalues and eigenvectors in the principal components analysis dealing with larger image data sets. The method employs both data transformation and matrix transpose of original data sets to calculate a variance-covariance or correlation matrix. The method was tested on actual image data sets using a common workstation, confirming faster execution time and efficient accuracy in comparison to a standard method.
authors.affiliation: Department of Internal Medicine, University of Michigan, USA.
authors.forename: S
authors.initials: S
authors.lastname: Minoshima
authors.forename: R A
authors.initials: RA
authors.lastname: Koeppe
mesh_terms: D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009683:Nuclear Medicine; D014055:Tomography, Emission-Computed