Preconditioning methods for improved convergence rates in iterative reconstructions

@article{Clinthorne1993PreconditioningMF,
  title={Preconditioning methods for improved convergence rates in iterative reconstructions},
  author={Neal H. Clinthorne and Tin-Su Pan and Ping-Chun Chiao and W. Leslie Rogers and John A. Stamos},
  journal={IEEE transactions on medical imaging},
  year={1993},
  volume={12 1},
  pages={78-83}
}
Because of the characteristics of the tomographic inversion problem, iterative reconstruction techniques often suffer from poor convergence rates-especially at high spatial frequencies. By using preconditioning methods, the convergence properties of most iterative methods can be greatly enhanced without changing their ultimate solution. To increase reconstruction speed, spatially invariant preconditioning filters that can be designed using the tomographic system response and implemented using 2… CONTINUE READING