International Journal of Biomedical Imaging
Volume 2007 (2007), Article ID 29160, 9 pages
doi:10.1155/2007/29160
Research Article

A Fast CT Reconstruction Scheme for a General Multi-Core PC

Kai Zeng,1 Erwei Bai,2 and Ge Wang3

1Biomedical Engineering Department, University of Iowa, Iowa City 52244, IA, USA
2Electrical and Computer Engineering Department, University of Iowa, Iowa City, 52244, IA, USA
3Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University, Blacksburg 24061, VA, USA

Received 28 February 2007; Accepted 24 April 2007

Academic Editor: Yibin Zheng

Copyright © 2007 Kai Zeng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. Bai, J. R. Bennett, and R. McCabe, et al., “Study of an adaptive bolus chasing CT angiography,” Journal of X-Ray Science and Technology, vol. 14, no. 1, pp. 27–38, 2006.
  2. K. Mueller and R. Yagel, “Rapid 3-D cone-beam reconstruction with the simultaneous algebraic reconstruction technique (SART) using 2-D texture mapping hardware,” IEEE Transactions on Medical Imaging, vol. 19, no. 12, pp. 1227–1237, 2000.
  3. F. Xu and K. Mueller, “Accelerating popular tomographic reconstruction algorithms on commodity PC graphics hardware,” IEEE Transactions on Nuclear Science, vol. 52, no. 3, pp. 654–663, 2005.
  4. J. Foley, A. van Dam, S. Feiner, and J. Hughes, Computer Graphics: Principles and Practice, Addison-Wesley, New York, NY, USA, 1990.
  5. K. Mueller and F. Xu, “Practical considerations for GPU-accelerated CT,” in Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 1184–1187, Arlington, Va, USA, April 2006.
  6. I. Hein, K. Taguchi, M. D. Silver, M. Kazama, and I. Mori, “Feldkamp-based cone-beam reconstruction for gantry-tilted helical multislice CT,” Medical Physics, vol. 30, no. 12, pp. 3233–3242, 2003.
  7. X. Tang, J. Hsieh, R. A. Nilsen, S. Dutta, D. Samsonov, and A. Hagiwara, “A three-dimensional-weighted cone beam filtered backprojection (CB-FBP) algorithm for image reconstruction in volumetric CT—helical scanning,” Physics in Medicine and Biology, vol. 51, no. 4, pp. 855–874, 2006.
  8. J. Hsieh and X. Tang, “Tilted cone-beam reconstruction with row-wise fan-to-parallel rebinning,” Physics in Medicine and Biology, vol. 51, no. 20, pp. 5259–5276, 2006.
  9. S. Schaller, T. Flohr, K. Klingenbeck, J. Krause, T. Fuchs, and W. A. Kalender, “Spiral interpolation algorithm for multislice spiral CT—part I: theory,” IEEE Transactions on Medical Imaging, vol. 19, no. 9, pp. 822–834, 2000.
  10. K. Taguchi and H. Aradate, “Algorithm for image reconstruction in multi-slice helical CT,” Medical Physics, vol. 25, no. 4, pp. 550–561, 1998.
  11. E. Shultz and R. Felix, “Fan-beam computerized tomography systems with rotating and with stationary detector arrays (‘third’ and ‘fourth’ generation),” Medical Progress through Technology, vol. 7, no. 4, pp. 169–181, 1980.
  12. Wikipedia, “SIMD,” http://en.wikipedia.org/wiki/SIMD.
  13. Microsoft, “Floating-Point Intrinsics Using Streaming SIMD Extensions,” 2005, http://msdn2.microsoft.com/en-us/library/x5c07e2a(VS.71).aspx.
  14. Intel, “Intel®Xeon® Processor,” 2007, http://www.intel.com/performance/workstation/xeon/intthru.htm.