Random walk and graph cut based active contour model for three-dimension interactive pituitary adenoma segmentation from MR images.
Min SunXinjian ChenZhiqiang ZhangChiyuan MaPublished in: Medical Imaging: Image Processing (2017)
Keyphrases
- random walk
- mr images
- active contour model
- shape prior
- medical images
- active contours
- segmentation method
- energy minimization
- graph cuts
- magnetic resonance
- level set
- deformable models
- curve evolution
- brain mr images
- object segmentation
- energy function
- intensity inhomogeneity
- random walker
- gradient vector flow
- user interaction
- region growing
- brain tumors
- intensity distribution
- magnetic resonance images
- geodesic active contours
- image segmentation
- segmentation algorithm
- manual segmentation
- object boundaries
- energy functional
- level set method
- mumford shah functional
- intensity information
- markov chain
- image data
- nonrigid registration
- markov random field
- shape model
- medical image analysis
- mri data
- statistical models
- medical imaging
- anatomical structures
- prostate cancer
- dce mri
- automatic segmentation
- prior information
- active shape model
- prior knowledge
- force field
- shape variations
- higher order
- image intensity
- vector field
- model based segmentation
- bayesian framework
- pairwise
- magnetic resonance imaging