Tissue Mixture Characterization In The Presence of Mri Inhomogeneity by the Em Algorithm.
Zhengrong LiangLihong LiDaria EreminaHongbing LuPublished in: ICASSP (2) (2006)
Keyphrases
- em algorithm
- expectation maximization
- brain tissue
- mixture model
- magnetic resonance imaging
- magnetic resonance images
- gaussian mixture model
- finite mixture model
- mixture modeling
- maximum likelihood
- mixture distribution
- mr images
- gaussian mixture
- mri data
- parameter estimation
- automatic segmentation
- generative model
- maximum likelihood estimation
- brain tumors
- medical images
- finite mixture models
- probabilistic model
- expectation maximisation
- likelihood function
- image segmentation
- hidden variables
- unsupervised learning
- density estimation
- log likelihood
- medical imaging
- white matter
- probability density function
- gibbs sampling
- mixture components
- incomplete data
- statistical model
- high resolution
- model based clustering
- generalized em algorithm
- estimate the model parameters
- maximum likelihood estimates
- bayesian framework
- low contrast
- language model
- k means
- computer vision
- penalized likelihood