Multi-object deformable templates dedicated to the segmentation of brain deep structures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1496, Issue , 1998, Pages 1134-1143

  Poupon, F ^a,b,c   Mangin, J F ^a   Hasboun, D ^d   Poupon, C ^a   Magnin, I ^b   Frouin, V ^a  

^a DIF   (France)

^b UNIVERSITÉ DE LYON   (France)

^c IFSBM   (France)

^d PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMATION; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; TOPOLOGY;

DEEP STRUCTURE; DEFORMABLE TEMPLATES; DEFORMING OBJECTS; ENERGY MINIMIZATION; GLOBAL SHAPES; MULTI-OBJECTS; SHAPE DISTRIBUTION; TOPOLOGICAL MODELS;

IMAGE SEGMENTATION;

EID: 84947737114     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056303     Document Type: Conference Paper

References (17)

1. T. Géraud, J.-F. Mangin, I. Bloch, and H. Maitre. Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph. In IEEE ICIP, 1995, pp. 548-551.
2. M. Kass, A. VVitkin, and D. Terzopoulos. Snakes: active contour models. Inter-national Journal of Computer Vision, vol. 1, 1988, pp. 321-331.
3. R. Bajcsy and R. Kovacic. Multiresolution elastic matching. Computer Vision, Graphics and Image Processing, vol. 46, 1989, pp. 1-21.
4. F. Solina and R. Bajcsy. Recovery of parametric models from range images: the case for superquadrics with global deformations. PAMI, vol. 12, 1990, pp. 131-147.
5. D. Terzopoulos and D. Metaxas. Dynamic 3D models with local and global defor-mations: deformable superquadrics. IEEE PAMI, vol. 13, 1991, pp. 703-714.
6. J. Martin, A. Pentland, and R. Kikinis. Shape analysis of brain structures using physical and experimental modes. In IEEE CVPR, Seattle, 1994, pp. 752-755.
7. B. C. Vemuri, A. Radisavljevic, and C. M. Leonard. Multi-resolution stochastic 3D shape models for image segmentation. In 13th IPMI, Flagstaff, 1993, pp. 62-76.
8. L. H. Staib and J. S. Duncan. Model-based deformable surface finding for medical images. IEEE Transactions on Medical Imaging, vol. 15, no. 5, 1996, pp. 720-731.
9. T. F. Cootes, A. Hill, C. J. Taylor, and J. Haslam. Use of active shape models for locating structures in medical images. Image and Vision Computing, vol. 12, no. 6, 1994, pp. 355-365.
10. G. Székely, A. Kelemen, C. Brechbühler, and G. Gerig. Segmentation of 2D and 3D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models. MIA, vol. 1, no. 1, 1996, pp. 19-34.
11. T. Mclnerney and D. Terzopoulos. Deformable models in medical image analysis: a survey. Medical Image Analysis, vol. 1, no. 2, 1996, pp. 91-108.
12. J.-F. Mangin, F. Tupin, V. Frouin, I. Bloch, R. Rougetet, J. Régis, and J. López-Krahe. Deformable topological models for segmentation of 3D medical images. In 14th IPMI, Brest, France. Kluwer Academic Publishers, 1995, pp. 153-164.
13. G. Bertrand and G. Malandain. A new characterisation of three-dimensional simple points. Pattern Recognition Letters, vol. 15, 1994, pp. 169-175.
14. F. Poupon, J.-F. Mangin, V. Frouin, and I. Magnin. 3D multi-object deformable templates based on moment invariants. In 10th SCI A, vol. I, 1997, pp. 149-155.
15. S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images. IEEE PAMI, vol. 6, no. 6, 1984, pp. 721-741.
16. C.-H. Lo and H.-S. Don. 3D moment forms: their construction and application to object identification and positioning. IEEE PAMI, vol. 11, 1989, pp. 1053-1064.
17. J.-F. Mangin, O. Coulon, and V. Frouin. Robust brain segmentation using his-togram scale-space analysis and mathematical morphology. In 1st MICCAI, 1998.