On the Use of Coupled Shape Priors for Segmentation of Magnetic Resonance Images of the Knee.
Jincheng PangJeffrey B. DribanTimothy E. McAlindonJosé G. Tamez-PeñaJurgen FrippEric L. MillerPublished in: IEEE J. Biomed. Health Informatics (2015)
Keyphrases
- shape prior
- magnetic resonance images
- medical images
- deformable models
- level set
- graph cuts
- brain mri
- active contours
- variational segmentation
- shape model
- image segmentation
- mr images
- object segmentation
- segmentation algorithm
- level set based segmentation
- medical imaging
- object boundaries
- brain tumors
- segmentation method
- robust segmentation
- energy function
- brain scans
- white matter
- variational framework
- magnetic resonance imaging
- bayesian framework
- partial volume
- statistical shape
- segmentation result
- high resolution
- brain tissue
- tissue segmentation
- intensity distribution
- manual segmentation
- prior knowledge
- brain structures
- active shape model
- diffusion tensor
- mri data
- statistical models
- energy functional
- shape representation
- global optimization
- curve evolution
- graph cut segmentation
- prior shape
- prior information
- magnetic resonance
- shape variations
- user interaction
- image analysis
- image processing
- markov random field
- x ray
- image data
- level set method