title: Iterative reconstruction for helical CT: a simulation study.
abstract: 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.
authors.affiliation: Department of Nuclear Medicine, Katholieke Universiteit, Leuven, Belgium.
authors.forename: J
authors.initials: J
authors.lastname: Nuyts
authors.forename: B
authors.initials: B
authors.lastname: De Man
authors.forename: P
authors.initials: P
authors.lastname: Dupont
authors.forename: M
authors.initials: M
authors.lastname: Defrise
authors.forename: P
authors.initials: P
authors.lastname: Suetens
authors.forename: L
authors.initials: L
authors.lastname: Mortelmans
mesh_terms: 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