Robustness of anatomically guided pixel-by-pixel algorithms for partial volume effect correction in positron emission tomography.
Several algorithms have been proposed to improve positron emission tomography quantification by combining anatomical and functional information in a pixel-by-pixel correction scheme. The precision of these methods when applied to real data depends on the precision of the manifold correction steps, such as full-width half-maximum modeling, magnetic resonance imaging-positron emission tomography registration, tissue segmentation, or background activity estimation. A good understanding of the influence of these parameters thus is critical to the effective use of the algorithms. In the current article, the authors present a monodimensional model that allows a simple theoretical and experimental evaluation of correction imprecision. The authors then assess correction robustness in three dimensions with computer simulations, and evaluate the validity of regional SD as a correction performance criterion.
D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted; D008953:Models, Anatomic; D008959:Models, Neurological; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D014055:Tomography, Emission-Computed