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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 37, Iss. 16 — Jun. 1, 1998
  • pp: 3547–3552

Improved reconstruction algorithm for luminescence optical tomography when background lumiphore is present

J. Chang, H. L. Graber, and R. L. Barbour  »View Author Affiliations


Applied Optics, Vol. 37, Issue 16, pp. 3547-3552 (1998)
http://dx.doi.org/10.1364/AO.37.003547


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Abstract

We examine the impact of background lumiphore on image quality in luminescence optical tomography. A modification of a previously described algorithm [ ChangJ.GraberH. L.BarbourR. L., J. Opt. Soc. Am. A 14, 288–299 (1997); ChangJ.GraberH. L.BarbourR. L., IEEE Trans. Biomed. Eng. 44, 810–822 (1997)] that estimates the background luminescence directly from the detector readings is developed. Numerical simulations were performed to calculate the diffusion-regime limiting form of forward-problem solutions for a specific test medium. We performed image reconstructions with and without white noise added to the detector readings, using both the original and the improved versions of the algorithm. The results indicate that the original version produces unsatisfactory reconstructions when background lumiphore is present, whereas the improved algorithm yields qualitatively better images, especially for small target-to-background luminescence yield ratios.

© 1998 Optical Society of America

OCIS Codes
(110.6960) Imaging systems : Tomography
(260.3800) Physical optics : Luminescence

History
Original Manuscript: May 14, 1997
Revised Manuscript: January 12, 1998
Published: June 1, 1998

Citation
J. Chang, H. L. Graber, and R. L. Barbour, "Improved reconstruction algorithm for luminescence optical tomography when background lumiphore is present," Appl. Opt. 37, 3547-3552 (1998)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-37-16-3547


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References

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  2. J. Chang, H. L. Graber, R. L. Barbour, “Imaging of fluorescence in highly scattering media,” IEEE Trans. Biomed. Eng. 44, 810–822 (1997). [CrossRef] [PubMed]
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  9. J. Chang, W. Zhu, Y. Wang, H. L. Graber, R. L. Barbour, “A regularized progressive expansion algorithm for recovery of scattering media from time-resolved data,” J. Opt. Soc. Am. A 14, 306–312 (1997). [CrossRef]
  10. J. Chang, H. L. Graber, R. L. Barbour, “Concentration, size, mean lifetime, and noise effects on image quality in luminescence optical tomography,” in Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies, B. Chance, R. R. Alfano, eds., Proc. SPIE2979, 750–758 (1997). [CrossRef]
  11. J. Chang, H. L. Graber, R. L. Barbour, “Dependence of optical diffusion tomography image quality on image operator and noise,” in Proceedings of 1995 IEEE Medical Imaging Conference, (Institute of Electrical and Electronics Engineers, New York, 1995), pp. 1524–1528.
  12. Y. Yao, Y. Wang, Y. Pei, W. Zhu, R. L. Barbour, “Frequency-domain optical imaging of absorption and scattering distributions by a Born iterative method,” J. Opt. Soc. Am. A 14, 325–342 (1997). [CrossRef]
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  14. M. Schweiger, S. R. Arridge, D. T. Delpy, “Application of the finite-element method for the forward and inverse models in optical tomography,” J. Math. Imaging Vision 13, 263–283 (1996).

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