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- W1992177423 abstract "Recently iterative reconstruction algorithms with total variation (TV) regularization have shown its tremendous power in image reconstruction from few-view projection data, but it is much more demanding in computation. In this paper, we propose an accelerated augmented Lagrangian method (ALM) for few-view CT reconstruction with total variation regularization. Experimental phantom results demonstrate that the proposed method not only reconstruct high quality image from few-view projection data but also converge fast to the optimal solution." @default.
- W1992177423 created "2016-06-24" @default.
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- W1992177423 date "2012-02-23" @default.
- W1992177423 modified "2023-09-23" @default.
- W1992177423 title "Accelerated augmented Lagrangian method for few-view CT reconstruction" @default.
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- W1992177423 doi "https://doi.org/10.1117/12.911783" @default.
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