Keywords:
ultralow dose CT, pre-log shifted Poisson, image reconstruction, texture, MRF
Computed tomography (CT) dosage is a big concern in clinic. Low-dose CT has attracted a lot of attention in this field. Lowering dose leads to difficulties in reconstruction because of high noise level. In this work we study an ultralow dose CT by using a pre-log shifted-Poisson statistical model and proposed an iterative reconstruction method by optimizing an objective function consisted of pre-log shifted Poisson likelihood and a texture-based MRF (Markov random field). The proposed method was tested on a numerical phantom with ultralow incident photons and electronic noise, as well as an artificial ultralow data simulated from a high-dose patient data. Our results demonstrated the good performance gained from the prelog shifted Poisson model and texture-based MRF prior.
- Yuxiang Xing
- Tsinghua University, China
- Junyan Rong
- Fourth Military Medical University, China
- Hongbin Lu
- Fourth Military Medical University, China
- Hao Zhang
- Johns Hopkins University, USA
- Zhengrong Liang
- Stony Brook University, USA
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