On CT forward operator approximation and applications to limited data CTMS33

Limited data CT techniques are getting increasing interest in many fields, given their advantages in acquisition time, exposure to radiations and device design. However, the object reconstruction process, in simulations as well as in real world situations, requires to estimate in some way the forward operator, that models the acquisition geometry. The talk will deal with one such approximation technique and how its vectorization impacts on the overall time and quality of the reconstruction.

This presentation is part of Minisymposium “MS33 - Advances in reconstruction algorithms for computed tomography (4 parts)
organized by: Gunay Dogan (Theiss Research, NIST) , Harbir Antil (George Mason University) , Elena Loli Piccolomini (Dept. Computer Science and Engineering, University of Bologna) , Samuli Siltanen (University of Helsinki) .

Gaetano Zanghirati (University of Ferrara)
Tatiana Bubba (University of Helsinki)
computed tomography, image reconstruction