Noise of supercontinuum sources in spectral domain optical coherence tomography

Jensen, Mikkel; Gonzalo, Iván Bravo; Engelsholm, Rasmus D.; Maria, Michaël; Israelsen, Niels Møller; Podoleanu, Adrian Gh.; Bang, Ole

doi:10.1364/josab.36.00a154

Cited by 50 publications

(41 citation statements)

References 27 publications

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“…Additionally, it has been shown in SD-OCT that a supercontinuum laser source contributes pink RIN noise [22]. In our experimental measurements in Section 3, we demonstrate that although pink noises exist, SDBG bias and the general spectral profile of the background is dominated by the white noise component.…”

Section: Noise In Sd-octsupporting

confidence: 53%

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Intrinsic spectrally-dependent background in spectroscopic visible-light optical coherence tomography

Rubinoff¹,

Kuranov²

2020

Preprint

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Visible-light optical coherence tomography (vis-OCT) enabled new spectroscopic applications, such as retinal oximetry, as a result of increased optical absorption and scattering contacts in biological tissue and improved axial resolution. Besides extracting tissue properties from back-scattered light, spectroscopic analyses must consider spectral alterations induced by image reconstruction itself. We investigated an intrinsic spectral bias in the background noise floor, which is hereby referred to as the spectrally-dependent background (SDBG). We developed an analytical model to predict the SDBG-induced bias and validated this model using numerically simulated and experimentally acquired data. We found that SDBG systemically altered the measured spectra of blood in human retinal vessels in vis-OCT, as compared to literature data. We provided solutions to quantify and compensate for SDBG in retinal oximetry. This work is particularly significant for clinical applications of vis-OCT.

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Section: Noise In Sd-octsupporting

confidence: 53%

“…In SD-OCT, the additive noise consists of shot noise, dark noise, readout noise, and relative intensity noise (RIN) and is assumed to be Gaussian distributed at each pixel [22]. Unlike sampled fringe [ ] , the additive noise is not correlated with .…”

Section: Noise In Sd-octmentioning

confidence: 99%

Intrinsic spectrally-dependent background in spectroscopic visible-light optical coherence tomography

Rubinoff¹,

Kuranov²

2020

Preprint

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“…Supercontinuum sources have found applications in many fields due to their exceptional spectral bandwidth and brightness, despite their often poor noise properties compared to alternative choices. Recently, a lot of work has been carried out within the field of SC-based Spectral Domain Optical Coherence Tomography (SD-OCT), [3][4][5][6][7][8], with a focus on the visible and near infrared wavelength ranges of 500 − 800 nm and 1150 − 1450 nm. A common trend in the conclusions of this work is that there is a need for SC sources with lower noise, as the noise directly influences the background noise and thus both contrast and image quality.…”

Section: Introductionmentioning

confidence: 99%

Supercontinuum noise reduction by fiber undertapering

Engelsholm¹,

Bang²

2019

Opt. Express

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“…An important parameter which affects any OCT system is the level of intensity noise arising in the data. Intensity noise in OCT is relatively well known and well documented [11,12]. Three main contributions can be identified.…”

Section: Stitching Spectra: Influence Of Intensity Noisementioning

confidence: 99%

“…8(b), where the axial profile of the spectrum of Fig. 4 is plotted after considering intensity noise levels of 0% and 5% (which is the noise level reported in the literature for supercontinuum driven OCT system [11,12]) in the case of the in-phase spectra prior to stitching. The noise floor is raised by around 5 dB between the noise free case and the case with noise.…”

Section: Stitching Spectra: Influence Of Intensity Noisementioning

confidence: 99%