Automatic iterative segmentation of multiple sclerosis lesions using Student's t mixture models and probabilistic anatomical atlases in FLAIR images.
Paulo Guilherme de Lima FreireRicardo José FerrariPublished in: Comput. Biol. Medicine (2016)
Keyphrases
- mixture model
- mr images
- fully automatic
- probabilistic atlas
- accurate segmentation
- segmentation algorithm
- multiple sclerosis lesions
- segmentation method
- medical images
- probabilistic model
- generative model
- atlas construction
- gaussian mixture model
- brain mr images
- image data
- grey matter
- image analysis
- input image
- brain structures
- atlas based segmentation
- magnetic resonance images
- image segmentation
- segmented images
- region growing
- medical imaging
- image registration
- object recognition
- positron emission tomography
- model based segmentation
- model selection
- generalized em algorithm
- segmentation result
- language model
- image processing
- probability density function
- bayesian networks
- partial volume
- inter subject
- energy function
- deformable models
- white matter
- background subtraction
- magnetic resonance
- density estimation