O. Amadieu, E. Debreuve, M. Barlaud, and G. Aubert, Inward and outward curve evolution using level set method, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999.
DOI : 10.1109/ICIP.1999.817097

C. Baillard, P. Hellier, and C. Barillot, Cooperation between level set techniques and dense 3D registration for the segmentation of brain structures, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.991-994, 2000.
DOI : 10.1109/ICPR.2000.905632

C. Baillard, P. Hellier, and C. Barillot, Segmentation of brain 3D MR images using level sets and dense registration, Medical Image Analysis, vol.5, issue.3, 2000.
DOI : 10.1016/S1361-8415(01)00039-1
URL : https://hal.archives-ouvertes.fr/inria-00536389

V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997.
DOI : 10.1109/ICCV.1995.466871

G. Celeux and J. Diebolt, L'algorithme SEM : un algorithme d'apprentissage probabiliste pour la reconnaissance de mélanges de densités, pp.35-51, 1986.

A. Chakraborty, L. Staib, and J. Duncan, Deformable boundary finding in medical images by integrating gradient and region information, IEEE Transactions on Medical Imaging, vol.15, issue.6, pp.859-870, 1996.
DOI : 10.1109/42.544503

L. D. Cohen, On active contour models and balloons, CVGIP: Image Understanding, vol.53, issue.2, pp.211-218, 1991.
DOI : 10.1016/1049-9660(91)90028-N

D. L. Collins, A. P. Zijdenbos, V. Kollokian, J. G. Sled, N. J. Kabani et al., Design and construction of a realistic digital brain phantom, IEEE Transactions on Medical Imaging, vol.17, issue.3, pp.463-468, 1998.
DOI : 10.1109/42.712135

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of Royal Statistical Society, vol.3, pp.1-38, 1976.

A. Fenster and D. B. Downey, 3-D ultrasound imaging: a review, IEEE Engineering in Medicine and Biology Magazine, vol.15, issue.6, pp.41-51, 1996.
DOI : 10.1109/51.544511

J. Gomes and O. Faugeras, Reconciling distance functions and Level-Sets, 1999.
URL : https://hal.archives-ouvertes.fr/inria-00073006

G. Hermosillo, O. Faugeras, and J. Gomes, Unfolding the Cerebral Cortex Using Level Set Methods, 1999.
DOI : 10.1007/3-540-48236-9_6

K. H. Hohne and W. A. Hanson, Interactive 3D Segmentation of MRI and CT Volumes using Morphological Operations, Journal of Computer Assisted Tomography, vol.16, issue.2, pp.285-294, 1992.
DOI : 10.1097/00004728-199203000-00019

M. Kass, A. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988.
DOI : 10.1007/BF00133570

C. Kervrann and F. Heitz, A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes, Graphical Models and Image Processing, vol.60, issue.3, pp.173-195, 1998.
DOI : 10.1006/gmip.1998.0469

R. Kimmel, N. Kiryati, and A. Bruckstein, Analyzing and synthesizing images by evolving curves with the Osher-Sethian method, International Journal of Computer Vision, vol.24, issue.1, pp.37-55, 1997.
DOI : 10.1023/A:1007970107971

G. , L. Goualher, C. Barillot, and Y. Bizais, Modeling cortical sulci with active ribbons, Int. Journal of Pattern Recognition and Artificial Intelligence, vol.8, issue.11, pp.1295-1315, 1997.

L. M. Lorigo, O. Faugeras, W. E. Grimson, R. Keriven, and R. Kikinis, Segmentation of bone in clinical knee MRI using texture-based geodesic active contours, Medical Image Computing and Computer-Assisted Intervention, pp.1195-1204, 1998.
DOI : 10.1109/42.563665

R. Malladi, J. A. Sethian, and B. C. Vemuri, Shape modeling with front propagation: a level set approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.2, pp.158-175, 1995.
DOI : 10.1109/34.368173

J. A. Malladi, B. C. Sethian, and . Vemuri, A fast level set based algorithm for topology-independent shape modeling, Journal of Mathematical Imaging and Vision, vol.4, issue.No. 7, pp.269-289, 1996.
DOI : 10.1007/BF00119843

P. Masson and W. Pieczynski, SEM algorithm and unsupervised statistical segmentation of satellite images, IEEE Transactions on Geoscience and Remote Sensing, vol.31, issue.3, pp.618-633, 1993.
DOI : 10.1109/36.225529

M. Mignotte and J. Meunier, Deformable template and distribution mixture-based data modeling for the endocardial contour tracking in an echographic sequence, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.225-230, 1999.
DOI : 10.1109/CVPR.1999.786943

S. Osher and J. A. Sethian, Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.12-49, 1988.
DOI : 10.1016/0021-9991(88)90002-2

C. Papin, P. Bouthemy, E. Mémin, and G. Rochard, Tracking and Characterization of Highly Deformable Cloud Structures, European Conf. on Computer Vision, volume LNCS 1843-2, pp.428-442, 2000.
DOI : 10.1007/3-540-45053-X_28

N. Paragios and R. Deriche, Geodesic active contours and level sets for the detection and tracking of moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.3, pp.266-280, 2000.
DOI : 10.1109/34.841758

R. W. Prager, A. Gee, and L. Berman, Stradx: real-time acquisition and visualization of freehand three-dimensional ultrasound, Medical Image Analysis, vol.3, issue.2, pp.129-140, 1998.
DOI : 10.1016/S1361-8415(99)80003-6

F. Schmitt, M. Mignotte, C. Collet, and P. Thourel, Estimation of noise parameters on sonar images, Signal and Image processing, number 2823 in SPIE, pp.1-12, 1996.

P. Schroeter, J. Vesin, T. Langenberger, and R. Meuli, Robust parameter estimation of intensity distributions for brain magnetic resonance images, IEEE Transactions on Medical Imaging, vol.17, issue.2, pp.172-186, 1998.
DOI : 10.1109/42.700730

L. H. Staib and J. Duncan, Model-based deformable surface finding for medical images, IEEE Transactions on Medical Imaging, vol.15, issue.5, pp.720-731, 1996.
DOI : 10.1109/42.538949

D. Terzopoulos, Regularization of Inverse Visual Problems Involving Discontinuities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, issue.4, pp.413-424, 1986.
DOI : 10.1109/TPAMI.1986.4767807

J. Van-bemmel and M. Musen, Handbook of medical informatics, 1997.

A. Yezzi, A. Tsai, and A. Willsky, Binary and ternary flows for image segmentation, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999.
DOI : 10.1109/ICIP.1999.822843

J. Ylä-jääski, F. Klein, and O. Kübler, Fast direct display of volume data for medical diagnosis, Computer Vision, Graphics, and Image Processing, pp.7-18, 1991.

X. Zeng, L. H. Staib, R. T. Schultz, and J. S. Duncan, Segmentation and measurement of the cortex from 3D MR images using coupled surfaces propagation, IEEE Trans. on Medical Imaging, vol.18, issue.10, pp.148-157, 1999.

X. Zeng, L. H. Staib, R. T. Schultz, H. Tagare, L. Win et al., A New Approach to 3D Sulcal Ribbon Finding from MR Images, Medical Image Computing and Computer-Assisted Intervention, pp.148-157, 1999.
DOI : 10.1007/10704282_16

S. C. Zhu and A. Yuille, Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-900, 1996.
DOI : 10.1109/ICCV.1995.466909

I. Unité-de-recherche, . Lorraine, V. Technopôle-de-nancy-brabois, I. Lès-nancy-unité-de-recherche, and . Rennes, Campus scientifique, 615 rue du Jardin Botanique Irisa, Campus universitaire de Beaulieu, 35042 RENNES Cedex Unité de recherche INRIA Rhône-Alpes, p.78153, 2004.