Soft constraints are introduced in an iterative projection approach, in order to make the set of constraints compatible for the case of noisy measurements. The degrees of freedom in the design are then used to arrive at a computationally simple form of the soft constraint algorithm. Simulation shows that the true solution is still feasible under noisy conditions, a property lost with the use of hard constraint algorithms.
['A.A. Beex']
Soft constraint iterative reconstruction from noisy projections