A probability tracking approach to segmentation of ultrasound prostate images using weak shape priors.
Robert Sheng XuOleg V. MichailovichIgor SoloveyMagdy M. A. SalamaPublished in: Medical Imaging: Image Processing (2010)
Keyphrases
- shape prior
- segmentation method
- segmentation algorithm
- robust segmentation
- level set
- segmentation result
- image segmentation
- prior shape
- graph cuts
- prior shape knowledge
- deformable models
- ultrasound images
- variational framework
- image analysis
- active contours
- automatic segmentation
- prostate segmentation
- shape variations
- level set based segmentation
- region based segmentation
- object segmentation
- transrectal ultrasound
- intensity information
- energy function
- variational segmentation
- active shape model
- region growing
- shape model
- accurate segmentation
- intensity distribution
- input image
- statistical shape
- automated segmentation
- edge detection
- pose invariant
- speckle noise
- multiple objects
- region based active contours
- graph cut segmentation
- global shape
- prior knowledge
- statistical models
- speckle reduction
- statistical model
- partial occlusion
- global optimization
- user interaction
- carotid artery
- object detection
- mean shift
- level set method
- imaging artifacts
- superpixels