Segmentation of deformable organs from medical images using particle swarm optimization and nonlinear shape priors.
Ahmed AfifiToshiya NakaguchiNorimichi TsumuraPublished in: Medical Imaging: Image Processing (2010)
Keyphrases
- medical images
- deformable models
- shape prior
- anatomical structures
- medical imaging
- medical image analysis
- object boundaries
- soft tissue
- image intensity
- object segmentation
- statistical shape
- variational segmentation
- computer aided diagnosis
- ct images
- medical image segmentation
- magnetic resonance imaging
- mr images
- magnetic resonance images
- curve evolution
- magnetic resonance
- medical diagnosis
- pose invariant
- shape variations
- region of interest
- robust segmentation
- computed tomography
- prior shape
- imaging modalities
- segmentation of medical images
- abdominal organs
- energy functional
- shape representation
- level set method
- biomedical images
- active shape model
- level set based segmentation
- shape analysis
- global optimization
- computer tomography
- active contours
- level set
- image segmentation
- pairwise
- graph cut segmentation
- image analysis
- graph cuts
- ct data
- active contour model
- ct scans