Efficient multi-modal image registration using local-frequency maps

Machine Vision and Applications

Volumn 13, Issue 3, 2002, Pages 149-163

  Liu, J ^a   Vemuri, B C ^a   Bova, F ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BRAIN; DATABASE SYSTEMS; DEFORMATION; MATHEMATICAL TRANSFORMATIONS; MEDICAL IMAGING; NATURAL FREQUENCIES; PARAMETER ESTIMATION;

COMPUTATIONAL EFFICIENCY; IMAGE DATA SETS; IMAGE REGISTRATION; MULTI-MODAL DATA;

IMAGE PROCESSING;

EID: 23944498607     PISSN: 09328092     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001380100072     Document Type: Conference Paper

References (44)

1. Guimond A, Roche A, Ayache N, Menuier J (2001) Three-dimensional multimodal brain warping using the demons algorithm and adaptive intensity corrections. IEEE Trans Med Imaging 20(1):5 8-69
2. Bajscy R, Kovacic S (1989) Multiresolution elastic matching. Comput Vision Graph Image Process 46:1-21
3. Bansal R, Staib LH, et al (1998) A novel approach for registration of 2D portal and 3D CT images for treatment setup verification in radiotherapy. In: First international conference on MICCAI, Cambridge, Mass., pp 1075-1086
4. Barren JL, Fleet DJ, Beauchemin SS (1994) Performance of optical flow techniques. Int J Comput Vision 1(12):43-77
5. Borgefors G (1988) Hierarchical chamfer matching: a parametric edge matching algorithm. IEEE Trans Pattern Recogn Mach Intell 10(6):849-86
6. Bro-Nielsen M, Gramkow C (1996) Fast fluid registration of medical images. In: Proceedings of the IV international conference on visualization in biomedical computing, Hamburg, September. Lecture Notes in Computer Science, vol 1131. Springer, Berlin Heidelberg New York, pp 267-284
7. Chui H, Rangarajan A (2000) A new algorithm for non-rigid point matching. In: IEEE conference on computer vision and pattern recognition
8. Christensen GE, Miller MI, Vannier M (1996) Individualizing neuroanatomical atlases using a massively parallel computer. IEEE Comput 1(29):32-38
9. Maes F, Collignon A, Vandermeulen D, Marchal G, Suetens P (1997) Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging 16:187-198
10. Diehl N, Burkhardt H (1989) Motion estimation in image sequences. In: High precision navigation. Springer, Berlin Heidelberg New York, pp 297-312
11. Evans AC, Dai W, Collins L, Neeling P, Marett S (1991) Warping of computerized 3D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis. In: Proceedings of SPIE medical imaging V, vol 1445, pp 236-246
12. Feldmar J, Ayache N (1994) Locally affine registration of free-form surfaces. In: Proceedings of IEEE CVPR, Seattle, Wash., pp 496-501
13. Fleet DJ, Jepson AD (1990) Computation of component image velocity from local phase information. Int J Comput Vision 5(1):77-104
14. Freeman WT (1992) Steerable filters and local analysis of image structure. PhD Thesis, Massachusetts Institute of Technology
15. Gaens T, Maes F, Vandermeulen D, Suetens P (1998) Non-rigid multimodal image registration using mutual information. In: First international conference on MICCAI, Cambridge, Mass. Lecture Notes in Computer Science, vol 1496. Springer, Berlin Heidelberg New York, pp 1099-1106
16. Granlund GH, Knutsson H (1995) Signal processing for computer vision. Kluwer, Dordrecht
17. Gill PE, Murray W, Wright MH (1981) Practical optimization. Academic Press, London
18. Gueziec A, Ayache N (1992) Smoothing and matching of 3D space curves. In: Robb R (ed) Visualization in biomedical computing. Proceedings of SPIE, vol 1808. SPIE Press, Bellingham, Wash., pp 259-273
19. Horn BPK, Schunk BG (1981) Determining optical flow. Artif Intell 17:185-203
20. Irani M, Anandan P, (1998) Robust multi-sensor image alignment. In: Proceedings of the international conference on computer vision, Bombay, pp 959-965
21. Lai SH, Vemuri BC (1998) Reliable and efficient computation of optical flow. IJCV 29(2):87-105
22. Maes F, Vandermeulen D, P. Suetens P (1999) Comparative evalution of multiresolution optimization strategies for multi-modality image registration by maximization of mutual information. Med Image Anal 3(4):373-386
23. Maintz JBA, van den Elsen PA, Viergever MA (1996) Comparison of edge-based and ridge-based registration of CT and MR brain images. Med Image Anal 1(2):151-161
24. Maintz JB, Viergever MA (1998) A survey of medical image registration. Med Image Anal 2:1-36
25. Marroquin JL, Servin M, Rodriguez-Vera R (1997) Adaptive quadrature filters and the recovery of phase from fringe pattern images. J Opt Soc Am 14(8):1742-1752
26. Meyer CT, Boes JL, Kim B, Bland PH, Zasadny KR, Kison PV, Koral K, Frey KA, Wahl RL (1997) Demonstrating the accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med Image Anal 1(3): 195-206.
27. Netsch T, Rosch P, Muiswinkel AV, Weese J (2001) Towards real-time multi-modality 3D medical image registration. ICCV 2001, vol 1, pp 718-725
28. Pelizarri CA, Chen GTY, Speibring DR (1989) Accurate three-dimensional registration of CT, PET and MR images of the brain. J Comput Assist Tomograph 13(1):20-26
29. Penney GP, Weese J, et al (1998) A comparison of similarity measures for use in 2D-3D medical images. In: First international conference on MICCAI, Cambridge, Mass. Lecture Notes in Computer Science, vol 1496. Springer, Berlin Heidelberg New York, pp 1153-1161
30. Randen T, Husoy JH (1999) Filtering for texture classification: a comparative study. IEEE Trans Pattern Anal Mach Intell 20(4):291-310
31. Roche A, Malandain G, Pennec X, Ayache N (1998) The correlation ratio as a new similarity measure for multi-modal image registration. In: First international conference on MICCAI, Cambridge, Mass. Lecture Notes in Computer Science, vol 1496. Springer, Berlin Heidelberg New York, pp 1115-1124
32. Rueckert D, et al (1999) Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 18(8):712-721
33. Schormann T, Henn S, Zilles K (1996) A new approach to fast elastic alignment with application to human brains. In: Visualization in biomedical computing. Lecture Notes in Computer Science, vol 1131. Springer, Berlin Heidelberg New York, pp 338-342
34. Sethian JA (1999) Level set methods and fast marching methods evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science. Cambridge University Press
35. Studholme C, Hill, Hawkes DJ, (1996) Automated 3D registration of MR and CT images in the head. Med Image Anal 1(2): 163-175
36. Szeliski R, Coughlan J (1994) Hierarchical spline-based image registration. In: Proceedings of IEEE conference computer vision and pattern recognition, Seattle, Wash., pp 194-201
37. Thirion JP (1994) Extremal points: definition and application to 3D registration. In: Proceedings of IEEE conference on computer vision and pattern recognition, Seattle, Wash., pp 587-592
38. Thevenaz P, Unser M (2000) Optimization of mutual information for multiresolution image registration. IEEE Trans Image Process 9(12):2083-2099
39. Van Den Elsen PA (1993) Multimodality matching of brain images. PhD Thesis, Utrecht University
40. Vemuri BC, Huang S, Sahni S, Leonard CM, Mohr C, Gilmore R, Fitzsimmons J (1998) An efficient motion estimator with application to medical image registration. Med Image Anal 2(1):79-98
41. Vemuri BC, Ye J, Chen Y, Leonard CM (2000) A level-set based approach to image registration. In: IEEE workshop on mathematical methods in biomedical image analysis, June 10-12, Hilton Head, S.C.
42. Wells III WM, Viola P, Atsumi H (1996) Multi-modal volume registration by maximization of mutual information. Med Image Anal 1(1):35-51
43. Wu X, Bhanu B (1995) Gabor wavelets for 3-D object recognition. In: Proceedings international conference on computer vision, pp 537-542
44. Zhao W, Young TY, Ginsberg MD (1993) Registration of three-dimensional autoradiographic images by the disparity analysis method. IEEE Trans Med Imaging 12(4):782-791