Accelerating mr image reconstruction on GPUs

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Volumn , Issue , 2009, Pages 1283-1286

  Hwu, Wen Mei W ^a   Nandakumar, Deepthi ^a   Haldar, Justin ^a   Atkinson, Ian C ^b   Sutton, Brad ^a   Liang, Zhi Pei ^a   Thulborn, Keith R ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHICS PROCESSING UNITS; IMAGE RECONSTRUCTION ALGORITHM; IMAGING ALGORITHM; MR IMAGES; NON-CARTESIAN;

PROGRAM PROCESSORS; REPAIR;

IMAGE RECONSTRUCTION;

EID: 70449361648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2009.5193297     Document Type: Conference Paper

References (17)

1. K. Mueller, F. Xu, and N. Neophytou, "Why do commodity graphics hardware boards (GPUs) work so well for acceleration of computed tomography?" SPIE Electronic Imaging 2007, Computational Imaging V Keynote, 2007.
2. T. Schiwietz, T. Chang, P. Speier, and R. Westermann, "MR image reconstruction using the GPU," SPIE Medical Imaging 2006, 2006.
3. M. A. Bernstein, K. F. King, and X. J. Zhou, "Handbook of MRI pulse sequences," Elsevier Academic Press, Burlington, MA, 2004.
4. J. I. Jackson, C. H. Meyer, D. G. Nishimura, A. Macovski, "Selection of a convolution function for Fourier inversion using gridding", IEEE Trans Med Imaging, vol. 10, pp. 473-478, 1991.
5. T. S. Soørensen, T. Schaeffter, K. OØ. Noe, and M. S. Hansen, "Accelerating the nonequispaced fast Fourier transform on commodity graphics hardware," IEEE Trans Med Imaging, vol. 27, pp. 538-547, 2008.
6. F. Wajer and K. P. Pruessmann, "Major speedup of reconstruction for sensitivity encoding with arbitrary trajectories," in Proc Int Soc Mag Res Med, 2001.
7. J. A. Fessler, S. Lee, V. T. Olafsson, H. R. Shi, and D. C. Noll, "Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity," IEEE TransSignal Process, vol. 53, pp. 3393-3402, 2005.
8. J. Haldar, D. Hernando, S.-K. Song, and Z.-P. Liang, "Anatomically constrained reconstruction from noisy data," Magn Reson Med, vol. 59, pp. 810-818, 2008.
9. P. Charbonnier, L. Blanc-Feraud, G. Aubert, and M. Barlaud, "Deterministic edge-preserving regularization in computed imaging," IEEE Trans Image Process, vol. 6, pp. 298-311, 1997.
10. A. H. Delaney and Y. Bresler, "Globally convergent edge-preserving regularized reconstruction: anapplication to limited-angle tomography," IEEE Trans Imag Proc, vol. 7, pp. 204-221, 1998.
11. F.T.A.W. Wajer,"Non-Cartesian MRI scan time reduction through sparse sampling," PhD thesis, Technische Universiteit Delft, Netherlands, 2001.
12. S. S. Stone, J. Haldar, S. C. Tsao, W. W. Hwu, B. P. Sutton, and Z.-P. Liang, "Accelerating advanced MRI reconstructions on GPUs," J Parallel Distrib Comput, vol. 68, pp. 810-818, 2008.
13. J. Nickolls and I. Buck, "NVIDIA CUDA software and GPU parallel computing architecture", Microprocessor Forum, May 2007.
14. S. Ryoo, C. Rodrigues, S. Baghsorkhi, S. Stone, D. Kirk, and W.W. Hwu, "Optimization principles and application performance evaluation of a multithreaded GPU using CUDA," Symposium on Principles and Practice of Parallel Programming (PPOPP), 2008.
15. NVIDIA CUDA. http://www.nvidia.com/cuda
16. C. I. Rodriguez, D. J. Hardy, J. E. Stone, Klaus Schulten, and Wen-Mei W. Hwu, "GPU Acceleration of Cutoff Pair Potential for Molecular Modeling Applications", Proceedings of the 2008 International Conference on Computing Frontiers, May 2008.
17. D. C. Noll, J. M. Pauly, C. H. Meyer, D. G. Nishimura, A. Mcovski, "Deblurring for non-2D Fourier transform magnetic resonance imaging," Magn Reson Med, vol. 25, pp. 319-333, 1992.