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Low-dose CT Image Reconstruction with a Deep Learning Prior

https://doi.org/10.1109/ACCESS.2020.3020040

  • Research Fields의료수학연구부
  • AuthorHYOUNG SUK PARK; KIWAN Jeon*; KYUNGSANG KIM
  • JournalIEEE Access 18(1) (2020)
  • Link https://doi.org/10.1109/ACCESS.2020.3020040
  • Classification of papersSCIE
  • KeywordComputed tomography, X-ray imaging, Noise reduction, Optimization, Machine learning, Training, Photonics

In low-dose computed tomography (LDCT), a penalized weighted least squares (PWLS) approach that incorporates the Poisson statistics of X-ray photons can significantly reduce excessive quantum noise.