Comparison study of clinical 3D MRI brain segmentation evaluation

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 III, Issue , 2004, Pages 1671-1674

  Song, Ting ^a   Angelini, Elsa D ^b   Mensh, Brett D ^c   Laine, Andrew ^a  

^a Columbia University ^*  (United States)

^b TELECOM PARISTECH   (France)

^c NONE   (United States)

Author keywords

Brain segmentation; Evaluation; MRI

Indexed keywords

FUZZY SETS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; TISSUE;

BRAIN SEGMENTATION; GRAY MATTER (GM);

BRAIN;

EID: 11144272721     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Xiaolan Zeng, Lawrence H. Staib, Robert T.Schultz, and J. S. Duncan, "Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation," IEEE Transaction on Image Processing, vol. 18, pp. 927-937, 1999.
2. E. D. Angelini, T. Song, B. D. Mensh, and A. Laine, "Segmentation and quantitative evaluation of brain MRI data with a multi-phase three-dimensional implicit deformable mode," presented at SPIE International Symposium, Medical Imaging 2004, San Diego, CA USA, 2004.
3. J. K. Udupa and S. Samarasekera, "Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation," Graphical Models and Image Processing, vol. 58, pp. 246-261, 1996.
4. Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm," IEEE Transactions on Medical Imaging, vol. 20, pp. 45-57, 2001.
5. J. L. Marroquin, B. C. Vemuri, S. Botello, F. Calderon, and A. Fernandez-Bouzas, "An accurate and efficent Bayesian method for automatic segmentation of brain MRI," IEEE Transactions on Medical Imaging, vol. 21, pp. 934-945, 2002.
6. Klaus A. Ganser, Hartmut Dickhaus, Roland Metzner, and C. R. Wirtz, "A deformable digital brain atlas system according to Talairach and Tournoux," Medical Image Analysis, vol. 8, pp. 3-22, 2004.
7. J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright, "Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions," SIAM Journal of Optimization, vol. 9, pp. 112-147, 1998.
8. S. Theodoridis and K. Koutroumbas, Pattern Recognition. U.S.A: Academic Press, 1999.
9. T. Chan and L. A. Vese, "Active contours without edges," IEEE Transaction on Image Processing, vol. 10, pp. 266-277, 2001.
10. "National Libary of Medicine Insight Segmentation and Registration Toolkit (ITK) http://www.itk.org."
11. "FMRIB Software Library (FSL) http://www.fmrib.ox.ac.uk/fsl/."
12. J. Udupa, V. LeBlanc, H. Schmidt, C. Imielinska, P. Saha, G. Grevera, Y. Zhuge, P. Molholt, Y. Jin, and L. Currie, "A methodology for evaluating image segmentation algorithm," presented at SPIE Conference on Medical Imaging, San Diego CA, USA, 2002.
13. P. Hellier, C. Barillot, I. Corouge, B. Gibaud, G. L. Goualher, D. L. Collins, A. Evans, G. Malandain, N. Ayache, G. E. Christensen, and H. J. Johnson, "Retrospective evaluation of intersubject brain registration," IEEE Transaction on Medical Imaging, vol. 22, pp. 1120-1130, 2003.
14. R. Kikinis, M. E. Shenton, G. Gerig, J. Martin, M. Anderson, D. Grevera, C. R.Guttmann, R. W. McCarley, W. Lorensen, H. Cline, and F. A. Jolesz, "Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging," Journal of Magnetic Resonance Imaging, vol. 2, pp. 619-629, 1992.