Abstract

Signal processing is used to enhance the field cross-correlation function in optical coherence tomography (OCT). This paper shows how the spurious signal resulting from an imperfect spectrum of broadband emitters can be cleaned up. It also demonstrates that, using a fairly simple deconvolution procedure, a factor of two enhancement in depth resolution can be achieved. An example of the enhanced resolution is shown using the signal from two microscope cover slides.

© 1998 Optical Society of America

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References

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  1. E.A. Swanson et al., “In vivo retinal imaging by optical coherence tomography,” Opt. Lett. 18,1864 (1993).
  2. G. J. Tearney et al., “Rapid acquisition of in vivo biological images by use of optical coherence tomography,” Opt. Let. 21,1408 (1996).
    [CrossRef]
  3. M. Bashkansky et al., “Subsurface defect detection in ceramics by high-speed high-resolution optical coherence tomography,” Opt. Lett. 22,61 (1997).
    [CrossRef] [PubMed]
  4. B. Porat, A Course in Digital Signal Processing, (John Wiley Sons, New York, N.Y., 1997).

1997 (1)

1996 (1)

G. J. Tearney et al., “Rapid acquisition of in vivo biological images by use of optical coherence tomography,” Opt. Let. 21,1408 (1996).
[CrossRef]

Bashkansky, M.

Porat, B.

B. Porat, A Course in Digital Signal Processing, (John Wiley Sons, New York, N.Y., 1997).

Swanson, E.A.

E.A. Swanson et al., “In vivo retinal imaging by optical coherence tomography,” Opt. Lett. 18,1864 (1993).

Tearney, G. J.

G. J. Tearney et al., “Rapid acquisition of in vivo biological images by use of optical coherence tomography,” Opt. Let. 21,1408 (1996).
[CrossRef]

Opt. Let. (1)

G. J. Tearney et al., “Rapid acquisition of in vivo biological images by use of optical coherence tomography,” Opt. Let. 21,1408 (1996).
[CrossRef]

Opt. Lett. (2)

Other (1)

B. Porat, A Course in Digital Signal Processing, (John Wiley Sons, New York, N.Y., 1997).

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Figures (2)

Figure 1
Figure 1

Unprocessed, 1-D OCT scan of the transparent structure made of two microscope slides pressed together.

Figure 2
Figure 2

Deconvolved and frequency filtered data of Figure 1.

Equations (3)

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R ( τ ) = C E R ( t + τ )   ·   E S * ( t ) d t
R ˜ ( ω ) = C   ·   E ˜ ( ω )   ·   E ˜ R * ( ω )
( peak height ) ( mid-point height ) × 100 % . peak height

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