OSA's Digital Library

Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 22, Iss. 16 — Aug. 11, 2014
  • pp: 19078–19086

Reliable method for calculating the center of rotation in parallel-beam tomography

Nghia T. Vo, Michael Drakopoulos, Robert C. Atwood, and Christina Reinhard  »View Author Affiliations


Optics Express, Vol. 22, Issue 16, pp. 19078-19086 (2014)
http://dx.doi.org/10.1364/OE.22.019078


View Full Text Article

Enhanced HTML    Acrobat PDF (3968 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

High-throughput processing of parallel-beam X-ray tomography at synchrotron facilities is lacking a reliable and robust method to determine the center of rotation in an automated fashion, i.e. without the need for a human scorer. Well-known techniques based on center of mass calculation, image registration, or reconstruction evaluation work well under favourable conditions but they fail in cases where samples are larger than field of view, when the projections show low signal-to-noise, or when optical defects dominate the contrast. Here we propose an alternative technique which is based on the Fourier analysis of the sinogram. Our technique shows excellent performance particularly on challenging data.

© 2014 Optical Society of America

OCIS Codes
(100.6950) Image processing : Tomographic image processing
(110.7440) Imaging systems : X-ray imaging
(340.6720) X-ray optics : Synchrotron radiation

ToC Category:
Image Processing

History
Original Manuscript: June 23, 2014
Revised Manuscript: July 18, 2014
Manuscript Accepted: July 18, 2014
Published: July 30, 2014

Citation
Nghia T. Vo, Michael Drakopoulos, Robert C. Atwood, and Christina Reinhard, "Reliable method for calculating the center of rotation in parallel-beam tomography," Opt. Express 22, 19078-19086 (2014)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-22-16-19078


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging (IEEE Press, 1988).
  2. B. Zitová and J. Flusser, “Image registration methods: a survey,” Image Vis. Comput.21(11), 977–1000 (2003). [CrossRef]
  3. M. Yang, H. Gao, X. Li, F. Meng, and D. Wei, “A new method to determine the center of rotation shift in 2D-CT scanning system using image cross correlation,” NDT Int.46, 48–54 (2012). [CrossRef]
  4. A. Brunetti and F. de Carlo, “A robust procedure for determination of center of rotation in tomography,” Proc. SPIE5535, 652–659 (2004). [CrossRef]
  5. T. Donath, F. Beckmann, and A. Schreyer, “Automated determination of the center of rotation in tomography data,” J. Opt. Soc. Am. A23(5), 1048–1057 (2006). [CrossRef] [PubMed]
  6. D. S. G. Azevedo, D. J. Schneberk, J. P. Fitch, and H. E. Martz, “Calculation of the rotational centers in computed tomography sinograms,” IEEE Trans. Nucl. Sci.37(4), 1525–1540 (1990). [CrossRef]
  7. P. R. Edholm, R. M. Lewitt, and B. Lindholm, “Novel properties of the Fourier decomposition of the sinogram,” Proc. SPIE671, 8–18 (1986). [CrossRef]
  8. K. Pearson, “Contributions to the mathematical theory of evolution, III, Regression, Heredity, and Panmixia,” Philos. Trans. R. Soc. Lond. Ser. A187, 253–318 (1896). [CrossRef]
  9. C. Spearman, “The proof and measurement of association between two things,” Am. J. Psychol.15(1), 72–101 (1904). [CrossRef] [PubMed]
  10. C. D. Kuglin and D. C. Hines, “The phase correlation image alignment method,” in IEEE 1975 Conference on Cybernetics and Society, New York (1975), pp. 163–165.
  11. V. Argyriou and T. Vlachos, “Estimation of sub-pixel motion using gradient cross-correlation,” Electron. Lett.39(13), 980–982 (2003). [CrossRef]
  12. A. Snigirev, I. Snigireva, V. Kohn, S. Kuznetsov, and I. Schelokov, “On the possibilities of x-ray phase contrast microimaging by coherent high-energy synchrotron radiation,” Rev. Sci. Instrum.66(12), 5486–5492 (1995). [CrossRef]
  13. T. M. Lehmann, C. Gönner, and K. Spitzer, “Survey: Interpolation methods in medical image processing,” IEEE Trans. Med. Imaging18(11), 1049–1075 (1999). [CrossRef] [PubMed]
  14. Wolfram Research, Inc., Mathematica, Version 9.0, Champaign, IL, 2013.
  15. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. (Prentice-Hall, 2002).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited