Automatic 3D segmentation of the liver from abdominal CT images: A level-set approach

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4322, Issue 1, 2001, Pages 128-138

  Pan, Shiyan ^a   Dawant, Benoit M ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Deformable models; Level set methods; Liver; Segmentation

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER SIMULATION; COMPUTERIZED TOMOGRAPHY; CONTOUR MEASUREMENT; EDGE DETECTION; FEATURE EXTRACTION; MOTION COMPENSATION; MOTION ESTIMATION; THREE DIMENSIONAL COMPUTER GRAPHICS;

COMPUTER-AIDED SURGERY; TOMOGRAPHIC IMAGES;

IMAGE SEGMENTATION;

EID: 0034849070     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.431019     Document Type: Article

References (16)

1. Automatic segmentation of liver structure in CT images
2. Automatic liver segmentation technique for three-dimensional visualization of CT data
3. Advanced 3D image processing techniques for liver and hepatic tumors location and volumetry
4. Hepatic blood vessel recognition using anatomical knowledge
5. Surgical planning for liver resection
6. Snakes: Active contour models
7. Volumetric medical images segmentation using shape constrained deformables
8. Image fusion for visualization of hepatic vasculatures and tumors
9. Fronts propagating with curvature dependent speed: Algorithms based on Hamllton-Jacobi formulation
10. Numerical algorithms for propagating interfaces: Hamilton-Jacobi equations and conservation laws
11. Shape modeling with front propagation: A level set approach
12. Geodesic active contours
13. A fast marching level set method for monotonically advancing fronts
14. The fast construction of extension velocities in level set methods