Robust Multiscale Deformable Registration of 3D Ultrasound Images

International Journal of Image and Graphics

Volumn 3, Issue 4, 2003, Pages 547-565

  Pratikakis, Ioannis ^a   Barillot, Christian ^b   Hellier, Pierre ^c   Memin, Etienne ^d  

^a INSTITUTE OF INFORMATICS AND TELECOMMUNICATIONS   (Greece)

^b CAMPUS DE BEAULIEU   (France)

^c CNRS   (France)

^d UNIVERSITÉ DE RENNES 1   (France)

Author keywords

3D ultrasound; multiscale; non rigid registration

Indexed keywords

3-D ULTRASOUND; 3D ULTRASOUND IMAGES; DEFORMABLE REGISTRATION; MULTI-SCALE FRAMEWORKS; MULTISCALE; NONRIGID REGISTRATION; NONRIGID REGISTRATION METHOD; REGISTRATION PROCESS;

ULTRASONICS;

EID: 85073201196     PISSN: 02194678     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219467803001184     Document Type: Article

References (24)

1. R. Bucholtz, D. Yeh, J. Trobaugh, L. McDurmont, C. Sturm, C. Baumann, and J. Henderson, "The correction of stereotactic inaccuracy caused by brain shift using an intraoperative ultrasound device, " in CVRMed-MRCAS, pp. 459-466 (1997).
2. R. Comeau, A. Fenster, and T. Peters, "Intraoperative US in interactive image-guided neurosurgery, " Radiographics 18, 1019-1027 (1998).
3. H. Erbe, A. Kriete, A. Jodicke, W. Deinsberger, and D. Boker, "3D-ultrasonography and image matching for detection of brain shift during intracranial surgery, " in H. U. Lemke et al., ed., Computer Assisted Radiology (CAR), pp. 225-230 (1996).
4. A. Morsy and O. VonRamm, "3D ultrasound tissue motion tracking using correlation search, " Ultrasonic Imaging 20, 151-159 (1998).
5. M. Strintzis and I. Kokkinidis, "Maximum likelihood motion estimation in ultrasound image sequences, " IEEE Signal Processing Letters 4(6), 156-157 (1997).
6. F. Yeung, S. Levinson, and K. Parker, "Multi-level and motion-model ultrasonic speckle tracking algorithms, " Ultrasound in Medicine and Biology 24(3), 427-441 (1998).
7. 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).
8. X. Pennec, P. Cachier, and N. Ayache, "Understanding the demon?s algorithm: 3D non-rigid registration by gradient descent, " in Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science (Springer-Verlag, September 1999), pp. 597-605.
9. X. Pennec, P. Cachier, and N. Ayache, "Tracking brain deformations in time-sequences of 3D US images, " Pattern Recognition Letters-Special Issue on Ultrasonic Image Processing and Analysis 24(4-5), 801-813 (2003).
10. T. Arbel, X. Morandi, R. Comeau, and D. L. Collins, "Automatic non-linear MRIultrasound registration for the correction of intraoperative brain deformations, " in W. J. Niessen and M. A. Viergever, ed., Medical Image Computing and Computer Assisted Intervention, Volume 2208 of Lecture Notes in Computer Science (Springer-Verlag, Utrecht, The Netherlands, 2001), pp. 913-921.
11. A. P. King, P. G. Batchelor, G. P. Penney, J. M. Blackall, D. L. G. Hill, and D. J. Hawkes, "Estimating sparse deformation fields using multiscale bayesian priors and 3D utrasound, " in M. F. Insana and R. M. Leahy, ed., Information Processing in Medical Imaging, Number 2082 in Lecture Notes in Computer Science (Springer-Verlag, Davis, CA, 2001), pp. 155-161.
12. E. Mémin and P. Ṕerez, "Dense estimation and object-based segmentation of the optical flow with robust techniques, " IEEE Transactions on Image Processing 7(5), 703-719 (1998).
13. P. Hellier, C. Barillot, E. Mémin, and P. Ṕerez, "Hierarchical estimation of a dense deformation field for 3D robust registration, " IEEE Transactions on Medical Imaging 20(5), 388-402 (2001).
14. 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).
15. W. J. Niessen, J. S. Duncan, M. Nielsen, L. M. J. Florack, B. M. Romeny and M. A. Viergever, "A multiscale approach to image sequence analysis, " Computer Vision and Image Understanding 65(2), 259-268 (1997).
16. L. Alvarez, J. Weickert, and J. Sanchez, "A scale-space approach to nonlocal optical flow calculations, " in Scale-Space ?99, pp. 235-246 (1999).
17. 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).
18. B. Horn and B. Schunck, "Determining optical flow, " Artificial Intelligence 17, 185-203 (1981).
19. 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).
20. A. P. Witkin, "Scale-space filtering, " in International Joint Conference on Artificial intelligence (Karlsruhe, W. Germany, 1983), pp. 1019-1023.
21. 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).
22. 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).
23. W. J. Niessen, K. Vincken, J. Weickert, and M. A. Viergever, "Nonlinear multiscale representations for image segmentation, " Computer Vision and Image Understanding 66(2), 233-245 (1997).
24. F. L. Bookstein, "Principal warps: Thin-plate splines and the decomposition of defomations, " IEEE Transactions on Pattern Analysis and Machine Intelligence 11(6), 567-585 (1989).