Cerebral magnetic resonance image segmentation using fuzzy Markov random fields

Proceedings - International Symposium on Biomedical Imaging

Volumn 2002-January, Issue , 2002, Pages 237-240

  Ruan, Su ^a   Bloyet, Daniel ^a   Revenu, Marinette ^a   Dou, Weibei ^b   Liao, Qingming ^b  

^a Centre National de la Recherche Scientifique   (France)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CEREBROSPINAL FLUID; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MEDICAL IMAGING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TISSUE; TISSUE ENGINEERING;

ACQUISITION SYSTEMS; BRAIN TISSUE SEGMENTATIONS; FUZZY SEGMENTATION; INTERNAL STRUCTURE; MARKOV RANDOM FIELDS; MARKOVIAN SEGMENTATION; PARTIAL VOLUME EFFECT; STOCHASTIC GRADIENT ALGORITHMS;

IMAGE SEGMENTATION;

EID: 34250834966     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2002.1029237     Document Type: Conference Paper

References (13)

1. Rajapakse J C and al., "Cerebral magnetic resonance image segmentation using data fusion", J. Comput. assist. Tomogr., Vol.20(2), pp.206-218, 1996.
2. Held K, Kops E R, Krause B J, Wells W M, Kikinis R, Müller-Gärtner H W, "Markov Random Field segmentation of brain MR images", IEEE. Trans. on Med. Irnag., Vol. 16(6), pp.878-892, 1997.
3. Vincken K L, E. Koster A S, Viergever M A, "Probabilistic multiscale image segmentation", IEEE. Trans. PAMI, Vol.19(2), 109-120, 1997.
4. Bedell B J, Narayana P A, "Volumetric analysis of white matter, gray matter and CSF using fractional volume analysis", Magn. Reson Med, Vol.39(6), pp.961-969, 1998.
5. Laidlaw D.H, Fleischer.K.W, Barr.A.H, "Partial-volume Bayesian classification of material mixtures in MR volume data using voxel histograms", IEEE. Trans. on Medical. Imaging., Vol.17(1), 878-89, 1998.
6. Besag J, "Spatial interaction and the statistical analysis of lattice systems", J. Roy. Stat. Soc. Ser. B, Vol.36, pp.192-242, 1974.
7. Geman S, Gerrian D, "Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images", IEEE. Trans. PAMI, Vol.6(6), pp. 721-741, 1984.
8. Panjwani D.K and Healey G, "Markov random field models for unsupervised segmentation of textured color images", IEEE. Trans. PAMI., Vol.17(10), pp.939-954, 1995.
9. Choi S M, Lee J E, Kim M H, "Volumetric object reconstruction using the 3D-MRF model-based segmentation", IEEE. Trans. Med. Imag., Vol.16(6), pp.887-892, 1997.
10. Salzenstein F, Pieczynski W, "Parameter estimation in hidden fuzzy Markov random fields and image segmentation", Graphical and models processing. Vol.59 (4) 205-220, 1997.
11. Younes L, "Parametric inference for imperfectly observed Gibbsian fields", Prob. Th. Fields. Spring-Verlag, No.82, pp.625-645, 1989.
12. Cocosco A, Kollokian V, Kwan R K-S and Evans A C, "Brain Web: Online interface to a 3D MRI simulated brain database", Http://www.bic.mni.mcgill.ca/brainweb.
13. Xue J., Ruan S, Moretti B, Revenu M, Bloyet D "Fuay knowledge-based recognition of internal structures of the head", Pattern Recognition Letters, Vol.22, No3-4, pp. 395-405, 2001.