All-depth dispersion cancellation in spectral domain optical coherence tomography using numerical intensity correlations

Jensen, Mikkel; Israelsen, Niels Møller; Maria, Michaël; Feuchter, Thomas; Podoleanu, Adrian G.H.; Bang, Ole

doi:10.1038/s41598-018-27388-z

Cited by 22 publications

(16 citation statements)

References 40 publications

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“…), the oversampling was performed on the spectra). Methods of improving the sensitivity at depth were reported 26 , 27 , however, for the present study no digital technique has been used to improve the sensitivity at depth for neither of the techniques. The fact that CMS behaves slightly better at depth than PCDC may be considered as due to imperfections in the interpolation technique employed here for PCDC (cubic B-scan interpolation).…”

Section: Resultsmentioning

confidence: 88%

Recovering distance information in spectral domain interferometry

Bradu

Israelsen

Maria

et al. 2018

Sci Rep

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This work evaluates the performance of the Complex Master Slave (CMS) method, that processes the spectra at the interferometer output of a spectral domain interferometry device without involving Fourier transforms (FT) after data acquisition. Reliability and performance of CMS are compared side by side with the conventional method based on FT, phase calibration with dispersion compensation (PCDC). We demonstrate that both methods provide similar results in terms of resolution and sensitivity drop-off. The mathematical operations required to produce CMS results are highly parallelizable, allowing real-time, simultaneous delivery of data from several points of different optical path differences in the interferometer, not possible via PCDC.

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Section: Resultsmentioning

confidence: 88%

Recovering distance information in spectral domain interferometry

Bradu

Israelsen

Maria

et al. 2018

Sci Rep

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“…The effect of dispersion is to introduce a difference in delay between the short and long wavelengths of the spectrum, which in turn results in broadening of the backscattered signal. For this reason, the correct depth resolved information in OCT can only be obtained after dispersion compensation 29 . To illustrate this, a 255-μm-thick (±5 µm) silicon wafer was imaged using the two systems having a GVD of 1576 and 385fs 2 /mm at 1.3 and 4 μm, respectively 30 .…”

Section: Resultsmentioning

confidence: 99%

Real-time high-resolution mid-infrared optical coherence tomography

et al. 2019

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The potential for improving the penetration depth of optical coherence tomography systems by using light sources with longer wavelengths has been known since the inception of the technique in the early 1990s. Nevertheless, the development of mid-infrared optical coherence tomography has long been challenged by the maturity and fidelity of optical components in this spectral region, resulting in slow acquisition, low sensitivity, and poor axial resolution. In this work, a mid-infrared spectral-domain optical coherence tomography system operating at a central wavelength of 4 µm and an axial resolution of 8.6 µm is demonstrated. The system produces two-dimensional cross-sectional images in real time enabled by a high-brightness 0.9- to 4.7-µm mid-infrared supercontinuum source with a pulse repetition rate of 1 MHz for illumination and broadband upconversion of more than 1-µm bandwidth from 3.58–4.63 µm to 820–865 nm, where a standard 800-nm spectrometer can be used for fast detection. The images produced by the mid-infrared system are compared with those delivered by a state-of-the-art ultra-high-resolution near-infrared optical coherence tomography system operating at 1.3 μm, and the potential applications and samples suited for this technology are discussed. In doing so, the first practical mid-infrared optical coherence tomography system is demonstrated, with immediate applications in real-time non-destructive testing for the inspection of defects and thickness measurements in samples that exhibit strong scattering at shorter wavelengths.

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“…Another point to note is that the dispersion compensation method used in this paper is based on the assumption that the dispersion of the sample itself is homogeneous, so not axial resolutions of all depth were corrected to the theoretical limit. Recently, a study using numerical intensity correlation method to achieve all-depth dispersion cancellation was reported [32], and 2D CS technique is also applicable to this method.…”

Section: Functional Sensing Resultsmentioning

confidence: 99%

Structural and Functional Sensing of Bio-Tissues Based on Compressive Sensing Spectral Domain Optical Coherence Tomography

Guo

Sun

et al. 2019

Sensors

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In this paper, a full depth 2D CS-SDOCT approach is proposed, which combines two-dimensional (2D) compressive sensing spectral-domain optical coherence tomography (CS-SDOCT) and dispersion encoding (ED) technologies, and its applications in structural imaging and functional sensing of bio-tissues are studied. Specifically, by introducing a large dispersion mismatch between the reference arm and sample arm in SD-OCT system, the reconstruction of the under-sampled A-scan data and the removal of the conjugated images can be achieved simultaneously by only two iterations. The under-sampled B-scan data is then reconstructed using the classic CS reconstruction algorithm. For a 5 mm × 3.2 mm fish-eye image, the conjugated image was reduced by 31.4 dB using 50% × 50% sampled data (250 depth scans and 480 spectral sampling points per depth scan), and all A-scan data was reconstructed in only 1.2 s. In addition, we analyze the application performance of the CS-SDOCT in functional sensing of locally homogeneous tissue. Simulation and experimental results show that this method can correctly reconstruct the extinction coefficient spectrum under reasonable iteration times. When 8 iterations were used to reconstruct the A-scan data in the imaging experiment of fisheye, the extinction coefficient spectrum calculated using 50% × 50% data was approximately consistent with that obtained with 100% data.

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All-depth dispersion cancellation in spectral domain optical coherence tomography using numerical intensity correlations

Cited by 22 publications

References 40 publications

Recovering distance information in spectral domain interferometry

Recovering distance information in spectral domain interferometry

Real-time high-resolution mid-infrared optical coherence tomography

Structural and Functional Sensing of Bio-Tissues Based on Compressive Sensing Spectral Domain Optical Coherence Tomography

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