Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation.
Siming WeiJing HuaJiajun BuChun ChenYizhou YuPublished in: ICIP (2010)
Keyphrases
- loopy belief propagation
- diffusion tensor images
- markov chain monte carlo
- approximate inference
- graphical models
- belief propagation
- markov random field
- parameter estimation
- graph cuts
- free energy
- posterior distribution
- markov chain
- message passing
- white matter
- gaussian process
- posterior probability
- generative model
- tensor field
- monte carlo
- probabilistic inference
- particle filter
- energy minimization
- bayesian networks
- bayesian inference
- latent variables
- human brain
- conditional random fields
- statistical analysis
- decision making
- data association
- image segmentation
- em algorithm
- probability distribution
- dynamic programming
- appearance model
- kalman filter
- active contours
- state space