Papers
Low-dose CT Image Reconstruction with a Deep Learning Prior
- 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.
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.