Robust brain segmentation using histogram scale-space analysis and mathematical morphology

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

Volumn 1496, Issue , 1998, Pages 1230-1241

  Mangin, J F ^a   Coulon, O ^a,b   Frouin, V ^a  

^a SERVICE HOSPITALIER FRÉDÉRIC JOLIOT   (France)

^b TELECOM PARISTECH   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MORPHOLOGY; MEDICAL COMPUTING; MEDICAL IMAGING; MORPHOLOGY; TOPOLOGY;

BRAIN SEGMENTATION; MORPHOLOGICAL PROCESS; OPENING SIZES; SCALE-SPACE ANALYSIS; SECOND DERIVATIVES; STRUCTURAL REPRESENTATION; SUPERVISED METHODS; TOPOLOGICAL PROPERTIES;

IMAGE SEGMENTATION;

EID: 84947714422     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056313     Document Type: Conference Paper

References (16)

1. M. J. Carlotto. Histogram analysis using a scale-space approach. IEEE PAMI, 9(1):121-129, 1987.
2. O. Coulon, I. Bloch, V. Frouin, sind J.-F. Mangin. Multiscale measures in linear scale-space for characterizing cerebral functional activations. In Scale-Space’97, Utrecht, number 1252 in LNCS, Springer, pp. 188-199, 1997.
3. S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE PAMI, 6(6):721-741, 1984.
4. A. Goshtasby and W. D. O’Neil. Curve fitting by a sum of Gaussians. CVGIP: Graphical Models and Image Processing, 56(4):281-288, 1994.
5. J. J. Koenderink. The structure of images. Biol. Cybernetics, 50:363-370, 1984.
6. F. Kruggel and G. Lohmann. Automatical adaption of the stereotactical coordinate system in brain MR1 datasets. In XVth IPMI, Poultney, USA, pages 470-476, 1997.
7. T. Lindeberg. Scale-space theory in computer vision. Kluwer, 1994.
8. J.-F. Mangin, I. Bloch, J. Lopez-Krahe, and V. Frouin. Chamfer distances in anisotropic 3D images. In VII Europ. Signal Proces. Conf., pp 975-978, 1994.
9. J.-F. Mangin, V. Frouin, I. Bloch, J. Regis, and J. López-Krahe. From 3D mag-netic resonance images to structural representations of the cortex topography using topology preserving deformations. J. Math. Imag. Vision, 5(4):297-318, 1995.
10. T. Mclnerney and D. Terzopoulos. Deformable models in medical image analysis: a survey. Medical Image Analysis, 1(2):91-108, 1996.
11. W. J. Niessen, K. L. Vincken, and M. A. Viergever. Comparison of multiscale representations for a linking-based image segmentation model. In IEEE/SIAM MMBIA, San Francisco, pp. 263-272, 1996.
12. I. Poliak, A. S. Willsky, and H. Krim. Scale space analysis by stabilized inverse diffusion equation. In Scale-Space’97, LNCS-1252, Springer, pp. 200-211, 1997.
13. L. Vérard, P. Allain, J.-M. Travere, J. C. Baron, and D. Bloyet. Fully automatic identification of AC and PC landmarks on brain MRI using scene analysis. IEEE TMÍ, pages 610-616, 1997.
14. B. J. H. Verwer, P. W. Verbeek, and S. T. Dekker. An efficient uniform cost algorithm applied to distance transforms. IEEE PAMI, 11(4):425-428, 1989.
15. W. M. Wells III, W. E. L. Grimson, R. Kikinis, and F. A. Jolesz. Adaptive segmentation of MRI data. IEEE TMI, 15(4):429-442, 1996.
16. A. P. Witkin. Scale-space filtering. In International Joint Conference on Artificial Intelligence, pages 1019-1023, 1983.