Completely automated estimation of prostate volume for 3-D side-fire transrectal ultrasound using shape prior approach.
Lu LiRamkrishnan NarayananSteve MillerFeimo ShenAlbaha BarqawiE. David CrawfordJasjit S. SuriPublished in: Image Processing: Algorithms and Systems (2008)
Keyphrases
- shape prior
- transrectal ultrasound
- deformable models
- prostate segmentation
- automated segmentation
- segmentation method
- segmentation result
- object boundaries
- object segmentation
- active contours
- image segmentation
- medical images
- shape model
- intensity information
- active contour model
- graph cuts
- active shape model
- medical image analysis
- shape variations
- statistical shape model
- prostate cancer
- soft tissue
- level set
- image analysis
- segmentation algorithm
- energy functional
- parameter estimation
- region growing
- statistical models
- bayesian framework
- user interaction
- fully automated
- face recognition
- manual segmentation
- superpixels
- global optimization