R. F. Wagner, S. W. Smith, J. M. Sandrik, and H. Lopez, Statistics of Speckle in Ultrasound B-Scans, IEEE Transactions on Sonics and Ultrasonics, vol.30, issue.3, pp.156-163, 1983.
DOI : 10.1109/T-SU.1983.31404

J. A. Noble and D. Boukerroui, Ultrasound image segmentation: a survey, IEEE Transactions on Medical Imaging, vol.25, issue.8
DOI : 10.1109/TMI.2006.877092
URL : https://hal.archives-ouvertes.fr/hal-00338658

J. C. Seabra, F. Ciompi, O. Pujol, J. Mauri, P. Radeva et al., Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound, IEEE Transactions on Biomedical Engineering, vol.58, issue.5, pp.1314-1324, 2011.
DOI : 10.1109/TBME.2011.2106498

P. M. Shankar, The use of the compound probability density function in ultrasonic tissue characterization, Physics in Medicine and Biology, vol.49, issue.6, pp.1007-1105, 2004.
DOI : 10.1088/0031-9155/49/6/011

J. Zhang and T. Tan, Invariant texture segmentation via circular Gabor filters, 16th IAPR International Conference on Pattern Recognition, ICPR'02, pp.901-904, 2002.

J. Han and K. Ma, Rotation-invariant and scale-invariant Gabor features for texture image retrieval, Image and Vision Computing, vol.25, issue.9, pp.1474-1481, 2007.
DOI : 10.1016/j.imavis.2006.12.015

D. G. Shen, Y. Q. Zhan, and C. Davatzikos, Segmentation of prostate boundaries from ultrasound images using statistical shape model, IEEE Transactions on Medical Imaging, vol.22, issue.4, pp.539-551, 2003.
DOI : 10.1109/TMI.2003.809057

Y. Q. Zhan and D. Shen, Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method, IEEE Transactions on Medical Imaging, vol.25, issue.3, pp.256-272, 2006.
DOI : 10.1109/TMI.2005.862744

J. Bigun and J. M. Buf, N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.1
DOI : 10.1109/34.273714

M. Tuceryan, Moment-based texture segmentation, Pattern Recognition Letters, vol.15, issue.7, pp.659-668, 1994.
DOI : 10.1016/0167-8655(94)90069-8

M. K. Mandal, T. Aboulnasr, and S. Panchanathan, Image indexing using moments and wavelets, IEEE Transactions on Consumer Electronics, vol.42, issue.3, pp.557-565, 1996.
DOI : 10.1109/30.536156

M. K. Hu, Visual pattern recognition by moment invariants, IRE Trans. Inf. Theory, vol.8, issue.2, pp.179-187, 1962.

B. Chen, H. Z. Shu, H. Zhang, G. Coatrieux, L. M. Luo et al., Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments, IEEE Transactions on Image Processing, vol.20, issue.2
DOI : 10.1109/TIP.2010.2062195

H. Zhang, Z. F. Dong, and H. Z. Shu, Object recognition by a complete set of pseudo-Zernike moment invariants, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.930-933, 2010.
DOI : 10.1109/ICASSP.2010.5495286

H. Zhang, H. Z. Shu, P. Haigron, B. S. Li, and L. M. Luo, Construction of a complete set of orthogonal Fourier???Mellin moment invariants for pattern recognition applications, Image and Vision Computing, vol.28, issue.1, pp.38-44, 2010.
DOI : 10.1016/j.imavis.2009.04.004
URL : https://hal.archives-ouvertes.fr/inserm-00420576

R. Mukundan and K. R. Ramakrishnan, Moment functions in image analysis: theory and applications, World Scientific, 1998.
DOI : 10.1142/3838

J. Flusser, On the independence of rotation moment invariants, Pattern Recognition, vol.33, issue.9, pp.1405-1410, 2000.
DOI : 10.1016/S0031-3203(99)00127-2

C. Teh and R. T. Chin, On image analysis by the methods of moments, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.4, pp.496-513, 1988.
DOI : 10.1109/34.3913

Y. L. Sheng and L. X. Shen, Orthogonal Fourier???Mellin moments for invariant pattern recognition, Journal of the Optical Society of America A, vol.11, issue.6, pp.1748-1757, 1994.
DOI : 10.1364/JOSAA.11.001748

J. Dillenseger, S. Laguitton, and E. Delabrousse, Fast simulation of ultrasound images from a CT volume, Computers in Biology and Medicine, vol.39, issue.2, pp.180-186, 2009.
DOI : 10.1016/j.compbiomed.2008.12.009
URL : https://hal.archives-ouvertes.fr/inserm-00130948

C. M. Chen, H. H. Lu, and Y. C. Lin, An early vision-based snake model for ultrasound image segmentation, Ultrasound in Medicine & Biology, vol.26, issue.2, pp.273-285, 2000.
DOI : 10.1016/S0301-5629(99)00140-4

Y. Boykov and G. Funka-lea, Graph Cuts and Efficient N-D Image Segmentation, International Journal of Computer Vision, vol.18, issue.9
DOI : 10.1007/s11263-006-7934-5

S. Esneault, N. Hraiech, E. Delabrousse, and J. Dillenseger, Graph Cut Liver Segmentation for Interstitial Ultrasound Therapy, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.5247-50, 2007.
DOI : 10.1109/IEMBS.2007.4353525
URL : https://hal.archives-ouvertes.fr/inserm-00187316