Geodesic
An iterative algorithm for two-dimensional tomographic reconstruction
Numerical methods and programming, Tome 4 (2003) no. 1, pp. 244-253

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In this study, we consider a modification of the iterative algorithm based on Neumann series and wavelet filtration at each step. Numerical simulation showed that a better reconstruction quality can be achieved in the few-view tomography problem by our new algorithm compared to the Gerchberg–Papoulis, maximum entropy and filtered backprojection algorithms. This conclusion was obtained both for smooth models and for stepwise ones.
Keywords: computer tomography, wavelet filtration, iterative algorithms, Neumann series, mathematical simulation. 
@article{VMP_2003_4_1_a25,
     author = {V. V. Pickalov and A. V. Nepomnyashchiy},
     title = {An iterative algorithm for two-dimensional tomographic reconstruction},
     journal = {Numerical methods and programming},
     pages = {244--253},
     publisher = {mathdoc},
     volume = {4},
     number = {1},
     year = {2003},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2003_4_1_a25/}
}
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V. V. Pickalov; A. V. Nepomnyashchiy. An iterative algorithm for two-dimensional tomographic reconstruction. Numerical methods and programming, Tome 4 (2003) no. 1, pp. 244-253. http://geodesic.mathdoc.fr/item/VMP_2003_4_1_a25/