Phase based volume registration using CUDA

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 658-661

  Eklund, Anders ^a   Andersson, Mats ^a   Knutsson, Hans ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

CUDA; GPU; Image registration; Local phase

Indexed keywords

IMAGE REGISTRATION; MEDICAL APPLICATIONS; MEDICAL IMAGING; SMART CARDS;

CUDA; IMAGES REGISTRATION; LOCAL PHASE; MEDICAL IMAGE REGISTRATION; PHASE BASED; REGISTRATION ALGORITHMS; SIMPLE ALGORITHM; SIMPLER ALGORITHMS; VOLUME DATA; VOLUME REGISTRATION;

GRAPHICS PROCESSING UNIT;

EID: 78049411020     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495134     Document Type: Conference Paper

References (9)

1. M. Hemmendorff, M. Andersson, T. Kronander, and H. Knutsson, "Phase-based multidimensional volume registration," IEEE Transactions on Medical Imaging, vol. 21, pp. 1536-1543, 2002.
2. M. Mellor and M. Brady, "Non-rigid multimodal image registration using local phase," in Lecture notes in computer science, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2004, vol. 3216, pp. 789-796.
3. P. Bui and J. Brockman, "Performance analysis of accelerated image registration using GPGPU," in Proceedings of 2nd workshop on general purpose processing on graphics processing units, 2009, pp. 38-45.
4. P. Muyan-Ozcelik, John D. Owens, Junyi Xia, and Sanjiv S. Samant, "Fast deformable registration on the GPU: A CUDA implementation of demons.," in Proceedings of the 2008 International Conference on Computational Science and Its Applications (ICCSA), 2008.
5. A. Wong and P. Fieguth, "Fast phase-based registration of multimodal data," Signal Processing, vol. 89, pp. 724-737, 2008.
6. K. Pauwels and M. M. Van Hulle, "Realtime phase-based optical flow on the GPU," in Computer Vision and Pattern Recognition Workshops, 2008, pp. 1-8.
7. H. Knutsson, M. Andersson, and J. Wiklund, "Advanced filter design," in Scandinavian conference on image analysis (SCIA), 1999.
8. T.R. Oakes, T. Johnstone, K.S. Ores Walsh, L.L. Greischar, A.L. Alexander, A.S. Fox, and R.J. Davidson, "Comparison of fMRI motion correction software tools," Neuroimage, vol. 28, pp. 529-543, 2005.
9. A. Nukada, Y. Ogata, T. Endo, and S. Matsuoka, "Bandwidth intensive 3-D FFT kernel for GPUs using CUDA," in Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 2008.