Extraction of functional volumes from medical dynamic volumetric data sets.
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.
Frouin
F
F
U66 INSERM Institut Gustave-Roussy, Villejuif, France.
Cinotti
L
L
Benali
H
H
Buvat
I
I
Bazin
J P
JP
Millet
P
P
Di Paola
R
R
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