Projection decomposition algorithm for dual-energy computed tomography via deep neural network.

Journal: Journal of X-ray science and technology
Published Date: Jan 1, 2018

Abstract

BACKGROUND: Dual-energy computed tomography (DECT) has been widely used to improve identification of substances from different spectral information. Decomposition of the mixed test samples into two materials relies on a well-calibrated material decomposition function.

Authors

  • Yifu Xu
    National Digital Switching System Engineering & Technological R & D Centre, Zhengzhou, Henan, China.
  • Bin Yan
    National Digital Switching System Engineering and Technological Research Centre, Zhengzhou, China.
  • Jian Chen
    School of Pharmacy, Shanghai Jiaotong University, Shanghai, China.
  • Lei Zeng
    School of Chemical and Environmental Engineering, Hubei Minzu University, Enshi 445000, China.
  • Lei Li
    Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.

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