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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 46, Iss. 8 — Mar. 10, 2007
  • pp: 1223–1232

Denoising multicriterion iterative reconstruction in emission spectral tomography

Xiong Wan and Aihan Yin  »View Author Affiliations


Applied Optics, Vol. 46, Issue 8, pp. 1223-1232 (2007)
http://dx.doi.org/10.1364/AO.46.001223


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Abstract

In the study of optical testing, the computed tomogaphy technique has been widely adopted to reconstruct three-dimensional distributions of physical parameters of various kinds of fluid fields, such as flame, plasma, etc. In most cases, projection data are often stained by noise due to environmental disturbance, instrumental inaccuracy, and other random interruptions. To improve the reconstruction performance in noisy cases, an algorithm that combines a self-adaptive prefiltering denoising approach (SPDA) with a multicriterion iterative reconstruction (MCIR) is proposed and studied. First, the level of noise is approximately estimated with a frequency domain statistical method. Then the cutoff frequency of a Butterworth low-pass filter was established based on the evaluated noise energy. After the SPDA processing, the MCIR algorithm was adopted for limited-view optical computed tomography reconstruction. Simulated reconstruction of two test phantoms and a flame emission spectral tomography experiment were employed to evaluate the performance of SPDA-MCIR in noisy cases. Comparison with some traditional methods and experiment results showed that the SPDA-MCIR combination had obvious improvement in the case of noisy data reconstructions.

© 2007 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3010) Image processing : Image reconstruction techniques
(120.2440) Instrumentation, measurement, and metrology : Filters

History
Original Manuscript: August 11, 2006
Revised Manuscript: October 5, 2006
Manuscript Accepted: October 17, 2006
Published: February 20, 2007

Virtual Issues
Vol. 2, Iss. 4 Virtual Journal for Biomedical Optics

Citation
Xiong Wan and Aihan Yin, "Denoising multicriterion iterative reconstruction in emission spectral tomography," Appl. Opt. 46, 1223-1232 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-8-1223


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References

  1. M. Hino, T. Aono, M. Nakajima, and S. Yuta, "Light emission computed tomography system for plasma diagnostics," Appl. Opt. 26, 4742-4746 (1987). [CrossRef] [PubMed]
  2. L. I. Poplevina, I. M. Tokmulin, and G. N. Vishnyakov, "Emission spectral tomography of multijet plasma flow," in Inverse Optics III, M. A. Fiddy, ed., Proc. SPIE 2241, 90-98 (1994).
  3. X. Wan, Y. Gao, and Y. Wang, "3-D flame temperature field reconstruction with multiobjective neural network," Chin. Opt. Lett. 1, 78-81 (2003).
  4. X. Wan, Y. Gao, and S. Yu, "Study of limited-view tomography algorithms for plasma diagnostics," Plast. Eng. (Brookfield, Conn.) 4927, 625-632 (2002).
  5. X. Wan, Y. Gao, Q. Wang, S. Lee, and S. Yu, "Limited-angle computed tomography algorithms for the physical sciences," Opt. Eng. 42, 2659-2669 (2003). [CrossRef]
  6. S. Kawata, O. Nakamura, and S. Minami, "Optical microscope tomography. I. Support constraint," J. Opt. Soc. Am. A 4, 292-297 (1987). [CrossRef]
  7. O. Nakamura, S. Kawata, and S. Minami, "Optical microscope tomography. II. Nonnegative constraint by a gradient-projection method," J. Opt. Soc. Am. A 5, 554-561 (1988). [CrossRef]
  8. X. Wan, S. Yu, G. Cai, Y. Gao, and J. Yi, "Three-dimensional plasma field reconstruction with multiobjective optimization emission spectral tomography," J. Opt. Soc. Am. A 21, 1161-1171 (2004). [CrossRef]
  9. X. Wan, S. Yu, Y. Gao, and Q. Zhu, "Self-adaptive reconstruction algorithm for emission spectral volume tomography," Opt. Eng. 43, 1244-1250 (2004). [CrossRef]
  10. S. Bahl and J. A. Liburdy, "Three-dimensional image reconstruction using interferometric data from a limited field of view with noise," Appl. Opt. 30, 4218-4226 (1991). [CrossRef] [PubMed]
  11. J. B. Abbiss, M. Defrise, C. De Mol, and H. S. Dhadwal, "Regularized iterative and noniterative procedures for object restoration in the presence of noise: an error analysis," J. Opt. Soc. Am. 73, 1470-1475 (1983). [CrossRef]
  12. S. Sardy, P. Tseng, and A. Bruce, "Robust wavelet denoising," IEEE Trans. Signal Process. 49, 1146-1152 (2001). [CrossRef]
  13. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika 81, 425-455 (1994). [CrossRef]
  14. D. Verhoeven, "Limited-data computed tomography algorithms for the physical sciences," Appl. Opt. 32, 3736-3754 (1993). [CrossRef] [PubMed]
  15. X. Wan, A. Yin, Y. Gao, X. He, X. Chen, X. Cheng, W. Zou, and S. Yu, "Discrete iterative optical computed tomography algorithm for reconstructions comprising opaque objects," Opt. Eng. 44, 118001 (2005). [CrossRef]

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