IEEE Trans Image Process - Fast approximation of algebraic reconstruction methods for tomography.

Tópicos

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Resumo

Most reconstruction algorithms for transmission tomography can be subdivided in two classes: variants of Filtered Backprojection (FBP) and iterative algebraic methods. Filtered backprojection is very fast and yields accurate results when a large number of projections are available, with high SNR and a full angular range. Algebraic methods require much more computation time, yet they are more flexible in dealing with limited data problems and noise. In this paper we propose an algorithm that combines the best of these two approaches: for a given linear algebraic method, a filter is computed that can be used within the FBP algorithm. The FBP reconstructions that result from using this filter strongly resemble the algebraic reconstructions and have many of their favorable properties, while the required reconstruction time is similar to standard-FBP. Based on a series of experiments, for both simulation data and experimental data, we demonstrate the merits of the proposed algorithm.

Resumo Limpo

reconstruct algorithm transmiss tomographi can subdivid two class variant filter backproject fbp iter algebra method filter backproject fast yield accur result larg number project avail high snr full angular rang algebra method requir much comput time yet flexibl deal limit data problem nois paper propos algorithm combin best two approach given linear algebra method filter comput can use within fbp algorithm fbp reconstruct result use filter strong resembl algebra reconstruct mani favor properti requir reconstruct time similar standardfbp base seri experi simul data experiment data demonstr merit propos algorithm

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