GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex.
Nicolas HonnoratHarini EavaniTheodore D. SatterthwaiteRaquel E. GurRuben C. GurChristos DavatzikosPublished in: NeuroImage (2015)
Keyphrases
- image processing
- shape prior
- image segmentation
- level set
- mumford shah functional
- graph cuts
- active contours
- object segmentation
- shape model
- variational segmentation
- deformable models
- cortical surface
- object boundaries
- segmentation algorithm
- level set based segmentation
- cerebral cortex
- segmentation method
- multiscale
- level set segmentation
- statistical models
- robust segmentation
- active shape model
- energy function
- appearance cues
- curve evolution
- level set evolution
- statistical shape
- variational framework
- user interaction
- shape representation
- energy functional
- computer vision
- shape variations
- prior information
- interactive segmentation
- cortical regions
- image analysis
- graph cut segmentation
- pose invariant
- prior shape
- statistical model
- global shape
- active contour model
- bayesian framework
- human brain
- markov random field
- intensity information
- shape matching
- prior knowledge
- min cut
- global optimization
- semi supervised
- chan vese
- shape space