Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model.
Zhuonan HeYikun ZhangYu GuanShanzhou NiuYi ZhangYang ChenQiegen LiuPublished in: CoRR (2020)
Keyphrases
- generative model
- low dose
- iterative reconstruction
- computer tomography
- bayesian framework
- imaging modalities
- ct scans
- medical images
- x ray
- ct images
- computed tomography
- prior knowledge
- medical diagnosis
- probabilistic model
- clinical applications
- dual energy
- medical imaging
- ct data
- magnetic resonance imaging
- lung nodules
- em algorithm
- medical image analysis
- multislice
- intraoperative
- low contrast
- semi supervised
- deformable models
- edge detection
- anatomical structures
- image reconstruction
- mri images
- contrast enhancement
- prior information
- computer aided diagnosis
- x ray images
- positron emission tomography
- co occurrence
- multiscale
- region of interest
- magnetic resonance
- three dimensional