title: Optimization of K-edge imaging with spectral CT.
abstract: OBJECTIVE
  Spectral∕multienergy CT has the potential to distinguish different materials by K-edge characteristics. K-edge imaging involves the two energy bins on both sides of a K-edge. The authors propose a K-edge imaging optimization model to determine these two energy bins.
  
  
  METHODS
  K-edge image contrast with spectral CT depends on the specifications of the two energy bins on both sides of a K-edge in the attenuation profile of a relatively high atomic number material. The wider the energy bin width is, the lower the noise level is, and the poorer the reconstructed image contrast is. Here the authors introduce the signal difference to noise ratio (SDNR) criterion to optimize the energy bin widths on both sides of the K-edge for the maximum SDNR.
  
  
  RESULTS
  The authors study K-edge imaging with spectral CT, analyze the effect of K-edge energy bins on the resultant image quality, and establish guidelines for the optimization of energy thresholds. In simulation, the authors demonstrate that our K-edge imaging optimization approach maximizes SDNR in reconstructed images.
  
  
  CONCLUSIONS
  This proposed approach can be readily generalized to deal with more general settings and determine the best energy bins for K-edge imaging.
authors.affiliation: Chongqing University, Chongqing, China.
authors.forename: Peng
authors.initials: P
authors.lastname: He
authors.forename: Biao
authors.initials: B
authors.lastname: Wei
authors.forename: Wenxiang
authors.initials: W
authors.lastname: Cong
authors.forename: Ge
authors.initials: G
authors.lastname: Wang
mesh_terms: D005240:Feasibility Studies; D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D013902:Radiography, Thoracic; D059629:Signal-To-Noise Ratio; D014057:Tomography, X-Ray Computed / Q000379:methods*