A new brain segmentation framework

Lecture Notes in Computer Science

Volumn 2879, Issue PART 2, 2003, Pages 586-593

  Butz, Torsten ^a   Hagmann, Patrie ^a   Tardif, Eric ^b   Meuli, Reto ^c   Thiran, Jean Philippe ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

^c LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MAGNETIC RESONANCE IMAGING; MORPHOLOGY; PARAMETER ESTIMATION; RANDOM PROCESSES; MARKOV PROCESSES; MATHEMATICAL MORPHOLOGY; MEDICAL COMPUTING; MEDICAL IMAGING;

BRAIN SEGMENTATION; FINITE GAUSSIAN MIXTURE (FGM); VOXEL INTENSITIES; WHITE MATTER (WM) TISSUE; CLASSIFICATION MODELS; GAUSSIAN ASSUMPTION; HIDDEN MARKOV RANDOM FIELDS; MORPHOLOGICAL ASPECTS; SEGMENTATION ALGORITHMS; SEGMENTATION MODELS; TWO-DIMENSIONAL FEATURES;

BRAIN; IMAGE SEGMENTATION;

EID: 0345255180     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_72     Document Type: Conference Paper

References (8)

1. W.M. Wells III, W.E.L. Crimson, R. Kikinis, and F.A, Jolesz, "Adaptive segmentation of MRI data," IEEE Transactions on Medical Imaging, vol. 15, no. 4, pp. 429-442, August 1996.
2. 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, no. 1, pp. 45-57, January 2001.
3. David W. Shattuck, Stephanie R. Sandor-Leahy, Kirt A. Schaper, David A. Rottenburg, and Richard M. Leahy, "Magnetic resonance image tissue classification using a part ial volume model," Neuro Image, vol. 13, pp. 856-876, 2001.
4. J. Besag, "Spatial interaction and the statistical analysis of lattice systems," Journal of Royal Statistical Society, vol. 36, no. 2, pp. 192-236, 1974.
5. S. Geman and D. Geman, "Stochastic relaxation, gibbs distributions, and the bayesia n restoration of images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 721-741, June 1984.
6. P. Santago and H.D. Gage, "Quantification of MR brain images by mixture density and partial volume modeling," IEEE Transactions on Medical Imaging, vol. 12, no. 3, pp. 566-574, September 1993.
7. R.K.-S. Kwan, A.C. Evans, and G.B. Pike, "MRI simulation-based evaluation of image-processing and classification methods," IEEE Transactions on Medical Imaging, vol. 18, no. 11, pp. 1085-1097, November 1999.
8. J. Besag, "On the statistical analysis of dirty pictures," Journal of Royal Statistical Society, vol. 48, no. 3, pp. 259-302, 1986.