Robust multi-scale non-rigid registration of 3D ultrasound images

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

Volumn 2106, Issue , 2001, Pages 389-397

  Pratikakis, Ioannis ^a   Barillot, Christian ^a   Hellier, Pierre ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MORPHOLOGY; ULTRASONICS;

3D ULTRASOUND IMAGES; COARSE TO FINE; MODEL FORMULATION; MULTI-SCALE FRAMEWORKS; MULTIRESOLUTION; NONRIGID REGISTRATION; NONRIGID REGISTRATION METHOD; REGISTRATION PROCESS;

COMPUTER VISION;

EID: 23044525816     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47778-0_37     Document Type: Conference Paper

References (16)

1. L. Alvarez, J. Weickert, and J. Sanchez. A scale-space approach to nonlocal optical flow calculations. In Scale-Space’99, pages 235-246, 1999.
2. M. Black and A. Rangarajan. On the unification of line processes, outlier rejection and robust statistics with applications in early vision. International Journal of Computer Vision, 19(1):57-91, 1996.
3. F.L. Bookstein. Principal warps: Thin-plate slines and the decomposition of defomations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(6):567-585, 1989.
4. F. Catté, P.L. Lions, J.M. Morel, and T. Coll. Image selective smoothing and edge detection by nonlinear diffusion. SIAM Journal on Numerical analysis, 29:182-193, 1992.
5. P. Hellier, C. Barillot, E. Mémin, and P. Pérez. An energy-based framework for dense 3D registration of volumetric brain images. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 270-275, Hilton Head Island, South Carolina, USA, June 2000.
6. B. Horn and B. Schunck. Determining optical flow. Artificial Intelligence, 17:185-203, August 1981.
7. J Weber and J. Malik. Robust computation of optical flow in a multi-scale differential framework. International Journal of Computer Vision, 14:67-81, 1995.
8. E. Mémin and P. Pérez. Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Transactions on Image Processing, 7(5):703-719, 1998.
9. A. Morsy and O. Von Ramm. 3D ultrasound tissue motion tracking using correlation search. Ultrasonic Imaging, 20:151-159, 1998.
10. H.H. Nagel and W. Enkelmann. An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8:565-593, 1986.
11. W.J. Niessen, J.S. Duncan, M. Nielsen, L.M.J. Florack, ter Haar Romeny B.M, and M.A. Viergever. A multiscale approach to image sequence analysis. Computer Vision and Image Understanding, 65(2):259-268, 1997.
12. X. Pennec, P. Cachier, and N. Ayache. Understanding the "demon’s algorithm": 3D non-rigid registration by gradient descent. In MICCAI, pages 597-605, September 1999.
13. P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7):629-639, 1990.
14. M. Strintzis and I. Kokkinidis. Maximum likelihood motion estimation in ultra-sound image sequences. IEEE Signal Processing Letters, 4(6):156-157, 1997.
15. A.P. Witkin. Scale-space filtering. In International Joint Conference on Artificial intelligence, pages 1019-1023, Karlsruhe, W. Germany, 1983.
16. F. Yeung, S. Levinson, D. Fu, and K. Parker. Feature-adaptive motion tracking of ultrasound image sequences using a deformable mesh. IEEE Transactions on Medical Imaging, 17(6):945-956, 1998