Optimized GPU implementation of learning-based non-rigid multi-modal registration

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6914, Issue , 2008, Pages

  Fan, Zhe ^a   Vetter, Christoph ^b   Guetter, Christoph ^b   Yu, Daphne ^b   Westermann, Rüdiger ^c   Kaufman, Arie ^a   Xu, Chenyang ^b  

^a Stony Brook University   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

GPU; Kullback Leibler divergence; Learning; Multi modal volumes; Mutual information; Non rigid registration

Indexed keywords

ALGORITHMS; IMAGE ACQUISITION; LEARNING SYSTEMS; MEDICAL IMAGING; MODAL ANALYSIS; VOLUME RENDERING;

KULLBACK-LEIBLER DIVERGENCE; MULTI-MODAL VOLUMES; MUTUAL INFORMATION; NON-RIGID REGISTRATION;

IMAGE REGISTRATION;

EID: 43449119835     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.770735     Document Type: Conference Paper

References (15)

1. R. J. Rost, Open GL(R) Shading Language (2nd Edition), Addison-Wesley Professional, 2006.
2. W. R. Mark, R. S. Glanville, K. Akeley, and M. J. Kilgard, "Cg: A system for programming graphics hardware in a C-like language," ACM SIGGRAPH , pp. 896-907, 2003.
3. 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." Computer Graphics Forum 26(1), pp. 80-113, 2007.
4. http://www.gpgpu.org. Website of general purpose computation on the GPU.
5. 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.
6. C. Vetter, C. Guetter, C. Xu, and R. Westermann, "Non-rigid multi-modal registration on the GPU," SPIE Medical Imaging: Image Processing 6512, p. 651228, 2007.
7. C. Guetter, C. Xu, F. Sauer, and J. Hornegger, "Learning based non-rigid multi-modal image registration using Kullback-Leibler divergence.," MICCAI (2) , pp. 255-262, 2005.
8. D. Cremers, C. Guetter, and C. Xu, "Nonparametric priors on the space of joint Intensity distributions for non-rigid multi-modal image registration," IEEE Conf. Computer Vision and Pattern Recognition, pp. 1777-1783, 2006.
9. 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.
10. I. Buck, T. Foley, D. Horn, J. Sugerman, K. Fatahalian, M. Houston, and P. Hanrahan, "Brook for GPUs: Stream computing on graphics hardware," ACM Transactions on Graphics 23(3), pp. 777-786, 2004.
11. M. McCool, S. Du Toit, T. Popa., B. Chan, and K. Moule, "Shader algebra," ACM Transactions on Graphics 23(3), pp. 787-795, 2004.
12. K, Fatahalian, J. Sugerman, and P. Hanrahan, "Understanding the efficiency of GPU algorithms for matrix-matrix multiplication," Graphics Hardware , pp. 133-137, 2004.
13. M. Harris and I. Buck, "GPU flow-control idioms," in GPU Gems 2, M. Pharr, ed., ch. 34, pp. 547-555, Addison-Wesley, 2005.
14. C. Woolley, "GPU program optimization," in GPU Gems 2, M. Pharr, ed., ch. 35, pp. 557-571, Addison-Wesley, 2005.
15. http://www.nvidia.com/object/cuda.html. NVIDIA Compute Unified Device Architecture (CUDA). 16 Z. Fan. F. Qiu. and A. Kaufman, "Zippy: A framework for computation and visualization on a GPU cluster," Eurographics, To appear , 2008.