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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 391212, 6 pages
http://dx.doi.org/10.1155/2013/391212
Research Article

A Novel CT Imaging System with Adjacent Double X-Ray Sources

Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China

Received 28 June 2013; Revised 14 September 2013; Accepted 19 October 2013

Academic Editor: Tianye Niu

Copyright © 2013 Mou An and Yaoqin Xie. 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. J. Hsieh, Computed Tomography: Principles, Design, Artifacts, and Recent Advances, SPIE Press, 2003.
  2. E. Seeram, Computed Tomography, W.B. Saunders, Philadelphia, Pa, USA, 2001.
  3. J. Zhang, G. Yang, Y. Z. Lee, S. Chang, J. P. Lu, and O. Zhou, “Multiplexing radiography using a carbon nanotube based x-ray source,” Applied Physics Letters, vol. 89, no. 6, Article ID 064106, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Zhang, G. Yang, Y. Lee, S. Chang, J. P. Lu, and O. Zhou, “Multiplexing radiography based on carbon nanotube field emission x-ray technology,” in Medical Imaging 2007: Physics of Medical Imaging, vol. 6510 of Proceedings of the SPIE, San Diego, Calif, USA, February 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Zhang, G. Yang, S. Chang, J. P. Lu, and O. Zhou, “Hadamard multiplexing radiography based on carbon nanotube field emission multi-pixel x-ray technology,” in Medical Imaging 2008: Physics of Medical Imaging, vol. 6913 of Proceedings of the SPIE, San Diego, Calif, USA, February 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. G. Cao, J. Zhang, O. Zhou, and J. Lu, “Temporal multiplexing radiography for dynamic x-ray imaging,” Review of Scientific Instruments, vol. 80, no. 9, Article ID 093902, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Petersilka, H. Bruder, B. Krauss, K. Stierstorfer, and T. G. Flohr, “Technical principles of dual source CT,” European Journal of Radiology, vol. 68, no. 3, pp. 362–368, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Nicolaou, A. Eftekhari, T. Sedlic et al., “The utilization of dual source CT in imaging of polytrauma,” European Journal of Radiology, vol. 68, no. 3, pp. 398–408, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. T. G. Flohr, C. H. McCollough, H. Bruder et al., “First performance evaluation of a dual-source CT (DSCT) system,” European Radiology, vol. 16, no. 2, pp. 256–268, 2006. View at Google Scholar
  10. G. T. Gullberg, “The reconstruction of fan-beam data by filtering the back-projection,” Computer Graphics and Image Processing, vol. 10, no. 1, pp. 30–47, 1979. View at Google Scholar · View at Scopus
  11. F. Natterer, “Sampling in fan beam tomography,” SIAM Journal on Applied Mathematics, vol. 53, no. 2, pp. 358–380, 1993. View at Google Scholar · View at Scopus
  12. G.-H. Chen, R. Tokalkanahalli, T. Zhuang, B. E. Nett, and J. Hsieh, “Development and evaluation of an exact fan-beam reconstruction algorithm using an equal weighting scheme via locally compensated filtered backprojection (LCFBP),” Medical Physics, vol. 33, no. 2, pp. 475–481, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. B. K. P. Horn, “Fan-beam reconstruction methods,” Proceedings of the IEEE, vol. 67, no. 12, pp. 1616–1623, 1979. View at Publisher · View at Google Scholar · View at Scopus
  14. G. Besson, “CT fan-beam parametrizations leading to shift-invariant filtering,” Inverse Problems, vol. 12, no. 6, pp. 815–833, 1996. View at Publisher · View at Google Scholar · View at Scopus
  15. G. Zeng, Medical Image Reconstruction, Higher Education Press, 2010.
  16. T. Niu and L. Zhu, “Accelerated barrier optimization compressed sensing (ABOCS) reconstruction for cone-beam CT: phantom studies,” Medical Physics, vol. 39, no. 7, article 4588, 2012. View at Google Scholar