Iterative reconstruction for helical CT: a simulation study.
Iterative reconstruction algorithms for helical CT are presented. The algorithms are derived from two-dimensional reconstruction algorithms, by adapting the projector/backprojector to the helical orbit of the source, and by constraining the axial frequencies with a Gaussian sieve. Simulations have been carried out and the performance of the iterative algorithms is compared to that of filtered backprojection of synthetic (interpolated) two-dimensional sinograms. The iterative algorithms produce superior bias-noise curves. Axial resolution is superior, but disturbing edge-artefacts are introduced.
Nuyts
J
J
Department of Nuclear Medicine, Katholieke Universiteit, Leuven, Belgium.
De Man
B
B
Dupont
P
P
Defrise
M
M
Suetens
P
P
Mortelmans
L
L
D000465:Algorithms; D016477:Artifacts; D002138:Calibration; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016013:Likelihood Functions; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed