Blood Vessel Segmentation in Complex-Valued Magnetic Resonance Images with Snake Active Contour Model.
Astri HandayaniAndriyan Bayu SuksmonoTati L. R. MengkoAkira HirosePublished in: Int. J. E Health Medical Commun. (2010)
Keyphrases
- active contour model
- magnetic resonance images
- complex valued
- blood vessels
- segmentation method
- snake model
- gradient vector flow
- active contours
- medical images
- region growing
- shape prior
- brain scans
- external force
- real valued
- geodesic active contours
- medical imaging
- brain tumors
- mr images
- deformable contour
- energy functional
- level set
- curve evolution
- recurrent neural networks
- image segmentation
- tubular structures
- gvf snake
- mumford shah functional
- segmentation algorithm
- magnetic resonance imaging
- force field
- deformable models
- region of interest
- energy minimization
- white matter
- low contrast
- object boundaries
- multi valued
- mri data
- level set method
- energy function
- intensity distribution
- graph cuts
- brain mr images
- retinal images
- edge detection
- activation function
- high resolution
- optic disc
- contour extraction
- linear equations
- shape model
- prior knowledge
- automatic segmentation
- image sequences
- markov random field
- anatomical structures
- shape variations
- diffusion process