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 s
ource, and by constraining the axial frequencies with a Gaussian sieve
. Simulations have been carried out and the performance of the iterati
ve algorithms is compared to that of filtered backprojection of synthe
tic (interpolated) two-dimensional sinograms. The iterative algorithms
produce superior bias-noise curves. Axial resolution is superior, but
disturbing edge-artefacts are introduced.