Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images.
Shu-Kay NgGeoffrey J. McLachlanPublished in: Pattern Recognit. (2004)
Keyphrases
- magnetic resonance images
- model based segmentation
- finite mixture model
- em algorithm
- expectation maximization
- mixture model
- mr images
- accurate segmentation
- medical images
- image segmentation
- gaussian mixture model
- medical imaging
- magnetic resonance imaging
- segmentation method
- maximum likelihood
- mri data
- statistical shape model
- gaussian mixture
- generative model
- diffusion tensor
- high resolution
- brain tumors
- density estimation
- white matter
- probabilistic model
- bayesian framework
- maximum likelihood estimation
- shadow detection
- image processing
- automatic segmentation
- mutual information
- intensity distribution
- multiscale
- high quality