2009
DOI: 10.1364/oe.17.005039
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Synthetic wavelength based phase unwrapping in spectral domain optical coherence tomography

Abstract: Phase sensing implementations of spectral domain optical coherence tomography (SDOCT) have demonstrated the ability to measure nanometer-scale temporal and spatial profiles of samples. However, the phase information suffers from a 2pi ambiguity that limits observations of larger sample displacements to lengths less than half the source center wavelength. We introduce a synthetic wavelength phase unwrapping technique in SDOCT that uses spectral windowing and corrects the 2pi ambiguity, providing accurate measur… Show more

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Cited by 41 publications
(26 citation statements)
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“…We propose a digital spectral shaping method that combines two existing methods to rectify this. The first method, referred to as the window method, passes the camera's response through a Gaussian window [42,43]. The second technique, referred to as the function method, reshapes the spectrum to a Gaussian, rather than just filtering it [44].…”
Section: Spectral Shapingmentioning
confidence: 99%
See 1 more Smart Citation
“…We propose a digital spectral shaping method that combines two existing methods to rectify this. The first method, referred to as the window method, passes the camera's response through a Gaussian window [42,43]. The second technique, referred to as the function method, reshapes the spectrum to a Gaussian, rather than just filtering it [44].…”
Section: Spectral Shapingmentioning
confidence: 99%
“…Digital shaping methods such as those using deconvolution [40,41] can optimize the coherence profile, but these involve complex algorithms that require a great deal of computing time. Simpler shaping methods are also available such as passing the detected spectrum through a window [42,43], which may only reduce sidelobes, rather than eliminating them, or using a function to modify its shape [44], which can be plagued by increased noise in the image. We present a combination of the windowing and function digital spectral shaping techniques that requires little computing time, reduces sidelobes and minimizes image degradation to noise and loss of resolution.…”
Section: Introductionmentioning
confidence: 99%
“…A large bandwidth decreases the spectral fitting range and a small bandwidth leads not only to reduced resolution, but also lower SNR. 36 In our experiment, we empirically used ð0.04 × 10 5 Þ rad∕cm for phantom experiments and ð0.06 × 10 5 Þ rad∕cm for animal experiments. (Note that the subband width is twice the standard deviation of the Gaussian window used in STFT.)…”
Section: Discussionmentioning
confidence: 99%
“…(Note that the subband width is twice the standard deviation of the Gaussian window used in STFT.) We used a larger bandwidth in animal experiments to limit the phase noise, 36 since the SNR of in vivo data is naturally lower than that of the phantom data. A more thorough investigation will be necessary to provide comprehensive evaluation of the effects of subband selection for spectroscopic Doppler analysis.…”
Section: Discussionmentioning
confidence: 99%
“…However, phase wrapping can be avoided by decreasing the voltage on the coil, increasing the distance between the coil and the sample, or by employing phase-unwrapping algorithms. 21 This technique would substantially benefit from higher A-scan rates, which would allow the acquisition of large fields of view with both high spatial and temporal sampling along both the fast and slow axes, which may increase the sensitivity 13 and dynamic range of MM measurements.…”
Section: Discussionmentioning
confidence: 99%