A CT Reconstruction Algorithm Based on L1/2 Regularization

@inproceedings{Chen2014ACR,
  title={A CT Reconstruction Algorithm Based on L1/2 Regularization},
  author={Mianyi Chen and Deling Mi and Peng He and Luzhen Deng and Biao Wei},
  booktitle={Comp. Math. Methods in Medicine},
  year={2014}
}
Computed tomography (CT) reconstruction with low radiation dose is a significant research point in current medical CT field. Compressed sensing has shown great potential reconstruct high-quality CT images from few-view or sparse-view data. In this paper, we use the sparser L1/2 regularization operator to replace the traditional L1 regularization and combine the Split Bregman method to reconstruct CT images, which has good unbiasedness and can accelerate iterative convergence. In the… CONTINUE READING
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