Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn 2006, Issue , 2006, Pages 394-397

  Huang, Albert ^a   Abugharbieh, Rafeef ^a   Tam, Roger ^a   Traboulsee, Anthony ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PROBABILITY; STATISTICAL METHODS; TISSUE;

GRAY MATTER (GM); IMAGE GRADIENTS; VOXEL PROBABILITY; WHITE MATTER (WM);

IMAGE SEGMENTATION;

EID: 33750958342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. D.W. Paty, D. Li, and G.J. Zhao, MRI in multiple sclerosis -Implications for diagnosis and treatment (2nd Edition) [print], 1999.
2. D.H. Miller, "Biomarkers and Surrogate Outcomes in Neurodegenerative Disease: Lessons from Multiple Sclerosis," NeuroRx, vol. 1, pp. 284-294, 2004.
3. A. Traboulsee, G. Zhao, and D.K.B. Li, "Neuroimaging in Multiple Sclerosis," Neurologic Clinics, vol. 23, pp. 131-148, 2005.
4. K. Van Leemput et al., "A unifying framework for partial volume segmentation of brain MR images," IEEE Transactions on Medical Imaging, vol. 22, no. 1, pp. 105-119, January 2003.
5. S.M. Smith et al., "Advances in functional and structural MR image analysis and implementation as FSL," NeuroImage, vol. 23(S1), pp. 208-219, 2004.
6. K.J. Friston et al., "Classical and Bayesian Inference in Neuroimaging: Theory," NeuroImage, vol. 16, pp. 465-483, 2002.
7. M. Leventon, E. Grimson, and O. Faugeras, "Statistical shape influence in geodesic active contour," CVPR, 2000.
8. Y. Chen et al., "Using prior shapes in geometric active contours in a variational framework," International Journal of Computer Vision (IJCV), vol. 50, no. 3, pp. 315-328, 2002.
9. S Ho, E Bullitt, and G Gerig, "Level-Set Evolution with Region Competition: Automatic 3-D Segmentation of Brain Tumors," International Conference on Pattern Recognition (ICPR), pp. 532-535, August 2002.
10. S.M. Smith, "Fast robust automated brain extraction," Human Brain Mapping, vol. 17, no. 3, pp. 143-155, November 2002.
11. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Transactions on Pattern Analysis Machine Intelligence, vol. 12, pp. 629-639, 1990.
12. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," International Journal of Computer Vision (IJCV), vol. 22, no. 1, pp. 61-79, 1997.
13. C.A. Cocosco et al., "BrainWeb: Online Interface to a 3D MRI Simulated Brain Database," NeuroImage, vol. 5, no. 4, part 2/4, S425, 1997 - Proceedings of 3rd International Conference on Functional Mapping of the Human Brain, Copenhagen, May 1997.
14. R.K.-S. Kwan et al., "MRI simulation-based evaluation of image-processing and classification methods," IEEE Transactions on Medical Imaging, vol. 18, no. 11, pp. 1085-97, November 1999.
15. R.K.-S. Kwan, A.C. Evans, and G.B. Pike, "An Extensible MRI Simulator for Post-Processing Evaluation," Visualization in Biomedical Computing (VBC'96), Lecture Notes in Computer Science, vol. 1131, pp. 135-140, Springer-Verlag, 1996.
16. D.L. Collins et al., "Design and Construction of a Realistic Digital Brain Phantom," IEEE Transactions on Medical Imaging, vol. 17, no. 3, pp. 463-468, June 1998.