Low-count PET image reconstruction with Bayesian inference over a Deep Prior.
Hernan CarrilloMaël MillardetThomas CarlierDiana MateusPublished in: Medical Imaging: Image Processing (2021)
Keyphrases
- image reconstruction
- bayesian inference
- prior information
- bayesian model
- maximum a posteriori
- reconstructed image
- hyperparameters
- positron emission tomography
- compressed sensing
- probabilistic model
- image reconstruction algorithms
- super resolution
- emission computed tomography
- prior knowledge
- computed tomography
- reconstruction method
- radon transform
- inverse problems
- poisson noise
- emission tomography
- expectation propagation
- bayesian methods
- reconstruction process
- sparsely sampled
- machine learning
- posterior distribution
- particle filter
- video sequences
- artifact free
- bayesian networks