Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
Dominik NarnhoferAlexander EfflandErich KoblerKerstin HammernikFlorian KnollThomas PockPublished in: CoRR (2021)
Keyphrases
- phase unwrapping
- high resolution
- bayesian estimation
- decision theory
- three dimensional
- magnetic resonance imaging
- dempster shafer
- medical images
- myocardial motion
- maximum likelihood
- optical flow
- image segmentation
- magnetic resonance images
- signal reconstruction
- medical imaging
- maximum a posteriori probability
- image correspondences
- compressed sensing
- image reconstruction
- reconstruction process
- markov random field
- super resolution
- partial volume
- beating heart
- computer tomography
- mri data
- parameter estimation
- dirichlet process mixture models
- markov random field prior