title: Extraction of functional volumes from medical dynamic volumetric data sets.
abstract: A method based on factor analysis is presented to process dynamic volumetric (t + 3D) data sets acquired for flow, excretion, or metabolic studies. It estimates a reduced number of underlying physiological kinetics and their associated spatial distributions, corresponding to functional volumes, using dedicated algorithms. The global (t + 3D) approach is shown to be superior to the conventional one, which repeats estimations on each (t + 2D) data set, obtained for each slice or projection of the volume.
authors.affiliation: U66 INSERM Institut Gustave-Roussy, Villejuif, France.
authors.forename: F
authors.initials: F
authors.lastname: Frouin
authors.forename: L
authors.initials: L
authors.lastname: Cinotti
authors.forename: H
authors.initials: H
authors.lastname: Benali
authors.forename: I
authors.initials: I
authors.lastname: Buvat
authors.forename: J P
authors.initials: JP
authors.lastname: Bazin
authors.forename: P
authors.initials: P
authors.lastname: Millet
authors.forename: R
authors.initials: R
authors.lastname: Di Paola
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005163:Factor Analysis, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007700:Kinetics; D008954:Models, Biological; D015203:Reproducibility of Results; D014055:Tomography, Emission-Computed