Determination of confocal profile and curved focal plane for OCT mapping of the attenuation coefficient

Ştefan, Sabina; Jeong, Ki-Soo; Polucha, Collin; Tapinos, Nikos; Toms, Steven; Lee, Jong‐Hwan

doi:10.1364/boe.9.005084

Cited by 12 publications

(6 citation statements)

References 35 publications

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“…In many medical applications, such as ophthalmology, the location of the focal point varies and there is a need for a method to automatically estimate the focus location to compensate for the effect of the beam shape in the estimation of the attenuation coefficient. Stefan et al [21] introduced a method to estimate the attenuation coefficient using two B-scans to first estimate the location of focus and afterwards estimating the attenuation coefficient from a single scattering model of the OCT light after compensating for the effect of beam shape. This method is dependent on having identical A-lines to be able to eliminate the effect of attenuation coefficients.…”

Section: Introductionmentioning

confidence: 99%

Analysis of attenuation coefficient estimation in Fourier-domain OCT of semi-infinite media

Ghafaryasl¹,

Vermeer²,

Kalkman³

et al. 2020

Biomed. Opt. Express

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The attenuation coefficient (AC) is an optical property of tissue that can be estimated from optical coherence tomography (OCT) data. In this paper, we aim to estimate the AC accurately by compensating for the shape of the focused beam. For this, we propose a method to estimate the axial PSF model parameters and AC by fitting a model for an OCT signal in a homogenous sample to the recorded OCT signal. In addition, we employ numerical analysis to obtain the theoretical optimal precision of the estimated parameters for different experimental setups. Finally, the method is applied to OCT B-scans obtained from homogeneous samples. The numerical and experimental results show accurate estimations of the AC and the focus location when the focus is located inside the sample.

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Section: Introductionmentioning

confidence: 99%

Analysis of attenuation coefficient estimation in Fourier-domain OCT of semi-infinite media

Ghafaryasl¹,

Vermeer²,

Kalkman³

et al. 2020

Biomed. Opt. Express

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“…Images based on the depth-resolved AC of the tissue were produced to improve the interpretation of images. Since the optical energy is not fully dissipated in the tissue and we did not incorporate correction for beam shape and focus position [45][46][47], the AC images were used for qualitative evaluation only. The calculation was based on the algorithm developed by Vermeer et al [48], which uses chromatic dispersion corrected and roll-off compensated intensity OCT images in linear scale.…”

Section: Ac Calculationmentioning

confidence: 99%

In vivo multifunctional optical coherence tomography at the periphery of the lungs

Feroldi¹,

Willemse²,

Davidoiu³

et al. 2019

Biomed. Opt. Express

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Remodeling of tissue, such as airway smooth muscle (ASM) and extracellular matrix, is considered a key feature of airways disease. No clinically accepted diagnostic method is currently available to assess airway remodeling or the effect of treatment modalities such as bronchial thermoplasty in asthma, other than invasive airway biopsies. Optical coherence tomography (OCT) generates cross-sectional, near-histological images of airway segments and enables identification and quantification of airway wall layers based on light scattering properties only. In this study, we used a custom motorized OCT probe that combines standard and polarization sensitive OCT (PS-OCT) to visualize birefringent tissue in vivo in the airway wall of a patient with severe asthma in a minimally invasive manner. We used optic axis uniformity (OAxU) to highlight the presence of uniformly arranged fiber-like tissue, helping visualizing the abundance of ASM and connective tissue structures. Attenuation coefficient images of the airways are presented for the first time, showing superior architectural contrast compared to standard OCT images. A novel segmentation algorithm was developed to detect the surface of the endoscope sheath and the surface of the tissue. PS-OCT is an innovative imaging technique that holds promise to assess airway remodeling including ASM and connective tissue in a minimally invasive, real-time manner.

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“…and/or the improvement of the OCT system. Other possible approaches are to use the method described by Dwork et al [26] and by Stefan et al [27] to increase the determination of the confocal parameter accuracy.…”

Section: Phantom Attenuation Coefficient Estimationmentioning

confidence: 99%

“…In our work, we applied a correction following the principles presented by Van Leeuwen et al [25]. However, we believe that it could be improved for future works applying the recent published methods described by Dwork et al [26] and Stefan et al [27], e.g..…”

Section: Phantom Attenuation Coefficient Estimationmentioning

confidence: 99%

General model for depth‐resolved estimation of the optical attenuation coefficients in optical coherence tomography

Amaral

Zezéll

Monte

et al. 2019

Journal of Biophotonics

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We present the proof of concept of a general model that uses the tissue sample transmittance as input to estimate the depth‐resolved attenuation coefficient of tissue samples using optical coherence tomography (OCT). This method allows us to obtain an image of tissue optical properties instead of intensity contrast, guiding diagnosis and tissues differentiation, extending its application from thick to thin samples. The performance of our method was simulated and tested with the assistance of a home built single‐layered and multilayered phantoms (~100 μm each layer) with known attenuation coefficient on the range of 0.9 to 2.32 mm−1. It is shown that the estimated depth‐resolved attenuation coefficient recovers the reference values, measured by using an integrating sphere followed by the inverse adding doubling processing technique. That was corroborated for all situations when the correct transmittance value is used with an average difference of 7%. Finally, we applied the proposed method to estimate the depth‐resolved attenuation coefficient for a thin biological sample, demonstrating the ability of our method on real OCT images.

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Determination of confocal profile and curved focal plane for OCT mapping of the attenuation coefficient

Cited by 12 publications

References 35 publications

Analysis of attenuation coefficient estimation in Fourier-domain OCT of semi-infinite media

Analysis of attenuation coefficient estimation in Fourier-domain OCT of semi-infinite media

In vivo multifunctional optical coherence tomography at the periphery of the lungs

General model for depth‐resolved estimation of the optical attenuation coefficients in optical coherence tomography

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