Efficient image decomposition for DECT by alternating direction method

To obtain high-quality CT images and decompositions, this paper proposes an iterative image reconstruction algorithm and a practical image-domain decomposition method for Dual-energy computed tomography (DECT). The reconstruction algorithm is formulated as an optimization problem, which includes total variation regularization term and data fidelity term. The alternating direction method is utilized to design the corresponding algorithm, which exhibits faster convergence speed than that of existing approaches. Image-domain decomposition applies penalized least square (PLS) estimation on decomposing material mappings. Experiments on the dataset of an anthropomorphic head phantom show that our methods are effective in terms of noise suppression and edge reservation without blurring the fine structures.