Non-rigid multi-modal registration on the GPU

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6512, Issue PART 2, 2007, Pages

  Vetter, Christoph ^a   Guetter, Christoph ^a   Xu, Chenyang ^a   Westermann, Rüdiger ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

GPU; Gradient descent; Learning; Multi modal registration; Mutual information; Non rigid registration

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; GRAPHIC METHODS; IMAGE QUALITY; ITERATIVE METHODS;

GAUSSIAN FILTERING; GRADIENT DESCENT; LEARNING; MULTIMODAL REGISTRATION; MUTUAL INFORMATION; NON RIGID REGISTRATION;

IMAGE REGISTRATION;

EID: 36249000009     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.709629     Document Type: Conference Paper

References (19)

1. C. Guetter, C. Xu, F. Sauer, and J. Hornegger, "Learning based non-rigid multi-modal image registration using Kullback-Leibler divergence.," in MICCAI (2), pp. 255-262, 2005.
2. J. Krüger and R. Westermann, "Linear algebra operators for GPU implementation of numerical algorithms," ACM Transactions on Graphics (TOG) 22(3), pp. 908-916, 2003.
3. N. K. Govindaraju, B. Lloyd, W. Wang, M. Lin, and D. Manocha, "Fast computation of database operations using graphics processors," in SIGMOD '04: Proceedings of the 2004 ACM SIGMOD international conference on Management of data, pp. 215-226, ACM Press, (New York, NY, USA), 2004.
4. R. Strzodka, M. Droske, and M. Rumpf, "Image registration by a regularized gradient flow - a streaming implementation in DX9 graphics hardware," Computing 73(4), pp. 373-389, 2004.
5. J. D. Owens, D. Luebke, N. Govindaraju, M. Harris, J. Krüger, A. E. Lefohn, and T. J. Purcell, "A survey of general-purpose computation on graphics hardware," in Eurographics 2005, State of the Art Reports, pp. 21-51, Aug. 2005.
6. M. Pharr, ed., GPU Gems 2, Addison Wesley, Mar. 2005.
7. http://www.gpgpu.org. Website about general purpose programming on the GPU.
8. D. Blythe, "The Direct3D 10 system," ACM Trans. Graph. 25(3), pp. 724-734, 2006.
9. I. Buck, T. Foley, D. Horn, J. Sugerman, K. Fatahalian, M. Houston, and P. Hanrahan, "Brook for GPUs: stream computing on graphics hardware," ACM Trans. Graph. 23(3), pp. 777-786, 2004.
10. M. Corporation, Microsoft DirectX 9 Programmable Graphics Pipeline, Microsoft Press, Redmond, WA, USA, 2003.
11. J. Neider and T. Davis, OpenGL Programming Guide: The Official Guide to Learning OpenGL, Release 1, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 1993.
12. W. R. Mark, R. S. Glanville, K. Akeley, and M. J. Kilgard, "Cg: a system for programming graphics hardware in a c-like language," in SIGGRAPH '03: ACM SIGGRAPH 2003 Papers, pp. 896-907, ACM Press, (New York, NY, USA), 2003.
13. R. J. Rost, OpenGL(R) Shading Language (2nd Edition), Addison-Wesley Professional, January 2006.
14. D. Cremers, C. Guetter, and C. Xu, "Nonparametric priors on the space of joint intensity distributions for non-rigid multi-modal image registration," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2, pp. 1777-1783, June 2006.
15. W. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis, "Multi-modal volume registration by maximization of mutual information," 1996.
16. G. Hermosillo, C. Chefd'Hotel, and O. D. Faugeras, "Variational methods for multimodal image matching.," International Journal of Computer Vision 50(3), pp. 329-343, 2002.
17. R. Deriche, "Recursively implementing the Gaussian and its derivatives," Tech. Rep. 1893, INRIA, May 1993.
18. http://developer.nvidia.com/object/cuda.html. Information about CUDA,.
19. M. Peercy, M. Segal, and D. Derstmann, "A performance-oriented data parallel virtual machine for GPUs," in ACM SIGGRAPH sketches, ACM Press, (New York, NY, USA), 2006.