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International Journal of Biomedical Imaging
Volume 2010, Article ID 284073, 8 pages
http://dx.doi.org/10.1155/2010/284073
Research Article

Compressed Sensing Inspired Image Reconstruction from Overlapped Projections

Lin Yang,1,2 Yang Lu,1,3 and Ge Wang1

1Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA 24061, USA
2Department of Electrical and Computer Engineering, The Cooper Union for the Advancement of Science and Art, New York, NY 10003, USA
3Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received 14 December 2009; Accepted 12 April 2010

Academic Editor: Lizhi Sun

Copyright © 2010 Lin Yang 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. Candès, “Compressive Sampling,” in Proceedings of the International Congress of Mathematicians (ICM '06), vol. 3, pp. 1433–1452, Madrid, Spain, 2006.
  2. D. L. Donoho, “Compressed sensing,” IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289–1306, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. R. L. Siddon, “Fast calculation of the exact radiological path for a three-dimensional CT array,” Medical Physics, vol. 12, no. 2, pp. 252–255, 1985. View at Publisher · View at Google Scholar · View at Scopus
  4. E. Candès and J. Romberg, “Signal recovery from random projections,” in Computational Imaging III, C. A. Bouman and E. L. Miller, Eds., Proceedings of SPIE, pp. 76–86, San Diego, Calif, USA, January 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. E. J. Candès, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 489–509, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. E. Y. Sidky, C.-M. Kao, and X. Pan, “Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT,” Journal of X-Ray Science and Technology, vol. 14, no. 2, pp. 119–139, 2006. View at Google Scholar · View at Scopus
  7. G.-H. Chen, J. Tang, and S. Leng, “Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets,” Medical Physics, vol. 35, no. 2, pp. 660–663, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Yu and G. Wang, “Compressive sensing based interior tomography,” Physics in Medicine and Biology, vol. 54, pp. 2791–2805, 2009. View at Google Scholar
  9. H. Yu, J. Yang, M. Jiang, and G. Wang, “Supplemental analysis on compressed sensing based interior tomography,” Physics in Medicine and Biology, vol. 54, no. 18, pp. N425–N432, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. L. Zhu, Y. Xie, J. Wang, and L. Xing, “Scatter correction for cone-beam CT in radiation therapy,” Medical Physics, vol. 36, no. 6, pp. 2258–2268, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Kyriakou and W. Kalender, “Efficiency of antiscatter grids for flat-detector CT,” Physics in Medicine and Biology, vol. 52, no. 20, pp. 6275–6293, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. J. H. Siewerdsen, M. J. Daly, B. Bakhtiar et al., “A simple, direct method for X-Ray scatter estimation and correction in digital radiography and cone-beam CT,” Medical Physics, vol. 33, no. 1, pp. 187–197, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. G. Poludniowski, P. M. Evans, V. N. Hansen, and S. Webb, “An efficient Monte Carlo-based algorithm for scatter correction in keV cone-beam CT,” Physics in Medicine and Biology, vol. 54, no. 12, pp. 3847–3864, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. D. A. Boas, D. H. Brooks, E. L. Miller et al., “Imaging the body with diffuse optical tomography,” IEEE Signal Processing Magazine, vol. 18, no. 6, pp. 57–75, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. D. Bharkhada, H. Yu, H. Liu, R. Plemmons, and G. Wang, “Line-source based X-Ray tomography,” International Journal of Biomedical Imaging, vol. 2009, Article ID 534516, 8 pages, 2009. View at Publisher · View at Google Scholar