3 March 2012 Accelerated augmented Lagrangian method for few-view CT reconstruction
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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.
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Junfeng Wu, Junfeng Wu, Xuanqin Mou, Xuanqin Mou, } "Accelerated augmented Lagrangian method for few-view CT reconstruction", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132N (3 March 2012); doi: 10.1117/12.911783; https://doi.org/10.1117/12.911783
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