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

Amaral, Marcello Magri; Zezéll, Denise Maria; Monte, A. F. G.; Cara, Ana Cláudia Ballet de; Araújo, J. C. R.; Antunes, Augusto Celso; Freitas, Anderson Zanardi de

doi:10.1002/jbio.201800402

Cited by 13 publications

(6 citation statements)

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“…Further developments of our technique are under way to provide this level of cellular information necessary for the study of neurological diseases. Another technical development would be to improve the accuracy of depth-resolved optical property estimation for better analysis of high-resolution volumetric data ( Amaral et al, 2019 ; Wang et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution

et al. 2021

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The surface of the human cerebellar cortex is much more tightly folded than the cerebral cortex. Volumetric analysis of cerebellar morphometry in magnetic resonance imaging studies suffers from insufficient resolution, and therefore has had limited impact on disease assessment. Automatic serial polarization-sensitive optical coherence tomography (as-PSOCT) is an emerging technique that offers the advantages of microscopic resolution and volumetric reconstruction of large-scale samples. In this study, we reconstructed multiple cubic centimeters of ex vivo human cerebellum tissue using as-PSOCT. The morphometric and optical properties of the cerebellar cortex across five subjects were quantified. While the molecular and granular layers exhibited similar mean thickness in the five subjects, the thickness varied greatly in the granular layer within subjects. Layer-specific optical property remained homogenous within individual subjects but showed higher cross-subject variability than layer thickness. High-resolution volumetric morphometry and optical property maps of human cerebellar cortex revealed by as-PSOCT have great potential to advance our understanding of cerebellar function and diseases.

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Section: Discussionmentioning

confidence: 99%

Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution

et al. 2021

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“…It estimates the decrease in light intensity as it travels through biological tissue. In this work, we employed the ACM [14][15][16] to correct image artifacts and enhance the contrast of follicle structures. After applying an ACM, the attenuation and shadowing effects were corrected.…”

Section: Attenuation Coefficient Map (Acm)mentioning

confidence: 99%

Three-dimensional imaging and quantification of mouse ovarian follicles via optical coherence tomography

Amaral

Sun

et al. 2023

Preprint

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Ovarian tissue cryopreservation has been successfully applied worldwide for fertility preservation. Correctly selecting the ovarian tissue with high follicle loading for freezing and reimplantation increases the likelihood of restoring ovarian function, but it is a challenging process. In this work, we explore the use of three-dimensional spectral-domain optical coherence tomography (SD-OCT) to identify different follicular stages, especially primary follicles, compare the identifications with H&E images, and measure the size and age-related follicular density distribution differences in mice ovaries. We use the thickness of the layers of granulosa cells to differentiate primordial and primary follicles from secondary follicles. The measured dimensions and age-related follicular distribution agree well with histological images and physiological aging. Finally, we apply attenuation coefficient map analyses to significantly improve the image contrast and the contrast-to-noise ratio (p < 0.001), facilitating follicle identification and quantification. We conclude that SD-OCT is a promising method to noninvasively evaluate ovarian follicles.

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“…(4) contains a regularization term I(E)/μ^E in the denominator to compensate for the finite data range 16 . Here, μ^E=μ^OCT(E) is an independently obtained estimate for the attenuation coefficient at the end of the data range E, which may be found, e.g., by CF or from transmission measurements 17 . Due to speckle and noise fluctuations, the OCT signal is itself an inherently fluctuating quantity of which Eq.…”

Section: Theorymentioning

confidence: 99%

Accuracy and precision of depth-resolved estimation of attenuation coefficients in optical coherence tomography

2023

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.SignificanceParametric imaging of the attenuation coefficient μOCT using optical coherence tomography (OCT) is a promising approach for evaluating abnormalities in tissue. To date, a standardized measure of accuracy and precision of μOCT by the depth-resolved estimation (DRE) method, as an alternative to least squares fitting, is missing.AimWe present a robust theoretical framework to determine accuracy and precision of the DRE of μOCT.ApproachWe derive and validate analytical expressions for the accuracy and precision of μOCT determination by the DRE using simulated OCT signals in absence and presence of noise. We compare the theoretically achievable precisions of the DRE method and the least-squares fitting approach.ResultsOur analytical expressions agree with the numerical simulations for high signal-to-noise ratios and qualitatively describe the dependence on noise otherwise. A commonly used simplification of the DRE method results in a systematic overestimation of the attenuation coefficient in the order of μOCT2×Δ, where Δ is the pixel stepsize. When μOCT · | AFR | ≲ 1.8, μOCT is reconstructed with higher precision by the depth-resolved method compared to fitting over the length of an axial fitting range | AFR | .ConclusionsWe derived and validated expressions for the accuracy and precision of DRE of μOCT. A commonly used simplification of this method is not recommended as being used for OCT-attenuation reconstruction. We give a rule of thumb providing guidance in the choice of estimation method.

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

Cited by 13 publications

References 28 publications

Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution

Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution

Three-dimensional imaging and quantification of mouse ovarian follicles via optical coherence tomography

Accuracy and precision of depth-resolved estimation of attenuation coefficients in optical coherence tomography

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