Segmentation of magnetic resonance images using fuzzy Markov random fields.
Su RuanBruno MorettiJalal FadiliDaniel BloyetPublished in: ICIP (3) (2001)
Keyphrases
- magnetic resonance images
- markov random field
- brain mri
- image segmentation
- medical images
- mrf model
- brain scans
- medical imaging
- partial volume
- energy function
- brain tumors
- tissue segmentation
- mr images
- multiple sclerosis lesions
- graph cuts
- textured images
- bias field
- maximum a posteriori
- belief propagation
- higher order
- random fields
- brain structures
- energy minimization
- low level vision
- parameter estimation
- label field
- scene labeling
- segmentation algorithm
- potential functions
- white matter
- pairwise
- image restoration
- magnetic resonance imaging
- shape prior
- brain tissue
- discriminative random fields
- map estimation
- high resolution
- intensity distribution
- multiscale
- conditional random fields
- segmentation method
- accurate segmentation
- region growing
- brain tumor segmentation
- image processing
- brain mr images
- image analysis
- diffusion tensor
- pattern recognition
- diffusion weighted
- edge detection
- similarity measure
- level set
- active contours
- piecewise constant functions
- automatically segmenting
- remote sensing
- x ray