Accelerated barrier optimization compressed sensing (ABOCS) for CT reconstruction with improved convergence.

@article{Niu2014AcceleratedBO,
  title={Accelerated barrier optimization compressed sensing (ABOCS) for CT reconstruction with improved convergence.},
  author={Tianye Niu and Xiaojing Ye and Quentin Fruhauf and Michael Petrongolo and Lei Zhu},
  journal={Physics in medicine and biology},
  year={2014},
  volume={59 7},
  pages={1801-14}
}
Recently, we proposed a new algorithm of accelerated barrier optimization compressed sensing (ABOCS) for iterative CT reconstruction. The previous implementation of ABOCS uses gradient projection (GP) with a Barzilai-Borwein (BB) step-size selection scheme (GP-BB) to search for the optimal solution. The algorithm does not converge stably due to its non-monotonic behavior. In this paper, we further improve the convergence of ABOCS using the unknown-parameter Nesterov (UPN) method and investigate… CONTINUE READING

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