Extracting information from previous full-dose CT scan for knowledge-based Bayesian reconstruction of current low-dose CT images

Lignende værker

• A feasibility study of extracting tissue textures from a previous full-dose CT database as prior knowledge for Bayesian reconstruction of current low-dose CT images
  af: Gao, Yongfeng, et al.
  Udgivet: (2019)
• Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT images
  af: Gao, Yongfeng, et al.
  Udgivet: (2020)
• Characterization of Tissue-specific Pre-log Bayesian CT Reconstruction by Texture-Dose Relationship
  af: Gao, Yongfeng, et al.
  Udgivet: (2020)
• Deriving adaptive MRF coefficients from previous normal-dose CT scan for low-dose image reconstruction via penalized weighted least-squares minimization
  af: Zhang, Hao, et al.
  Udgivet: (2014)
• Low-dose computed tomography image restoration using previous normal-dose scan
  af: Ma, Jianhua, et al.
  Udgivet: (2011)