Optical coherence tomography modeling incorporating scattering, absorption, and multiple reflections

Guan, Anna; Richardson, Steven; Hinckley, Steven

doi:10.1364/josaa.377121

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…Assuming that only light from single scattering events are present in the interferogram (first order Born approximation), that light attenuation is due to scattering and absorption (Lambert-Beer's law), and plane wave illumination from the light source, produces the general form for 𝐼 (𝑧) of [28][29][30]:…”

Section: S-octmentioning

confidence: 99%

Inverse spectroscopic optical coherence tomography (IS-OCT) for characterization of particle size and concentration

2021

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Inverse spectroscopic optical coherence tomography (IS-OCT) methods apply inverse problem formulations to acquired spectra to estimate depth-resolved sample properties. In the current study, we modelled the timefrequency-distributions using Lambert-Beer's law and implemented IS-OCT using backscattering spectra calculated from Mie theory, then demonstrated the algorithm on polystyrene microspheres under idealised conditions. The results are significant because the method is compatible with high concentrations and broad diameter distributions of scattering particles such as organelles in biological cells.

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Section: S-octmentioning

confidence: 99%

Inverse spectroscopic optical coherence tomography (IS-OCT) for characterization of particle size and concentration

2021

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“…The light passes through the detection reagent, reaches the skin epidermis, and then returns to the detector. The light reflected back to the detector not only contains the information of the indicator, but also the absorption and scattering effects from skin of different people, therefore, the measurement results are affected by the absorption and scattering substances in the skin [ 21 , 22 ]. Meanwhile, the influence of uncontrolled pressure on the physiologic status of the skin also affects the diffuse reflectance, which may lead to fluctuations in the measurements of different people [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Development of a non-invasive method for skin cholesterol detection: pre-clinical assessment in atherosclerosis screening

Hong

Yang

et al. 2021

BioMed Eng OnLine

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Background Establishing a high-accuracy and non-invasive method is essential for evaluating cardiovascular disease. Skin cholesterol is a novel marker for assessing the risk of atherosclerosis and can be used as an independent risk factor of early assessment of atherosclerotic risk. Methods We propose a non-invasive skin cholesterol detection method based on absorption spectroscopy. Detection reagents specifically bind to skin cholesterol and react with indicator to produce colored products, the skin cholesterol content can be obtained through absorption spectrum information on colored products detected by non-invasive technology. Gas chromatography is used to measure cholesterol extracted from the skin to verify the accuracy and reliability of the non-invasive test method. A total of 342 subjects were divided into normal group (n = 115), disease group (n = 110) and risk group (n = 117). All subjects underwent non-invasive skin cholesterol test. The diagnostic accuracy of the measured value was analyzed by receiver-operating characteristic (ROC) curve. Results The proposed method is able to identify porcine skin containing gradient concentration of cholesterol. The values measured by non-invasive detection method were significantly correlated with gas chromatography measured results (r = 0.9074, n = 73, p < 0.001). Bland–Altman bias was − 72.78 ± 20.03 with 95% limits of agreement − 112.05 to − 33.51, falling within the prespecified clinically non-significant range. We further evaluated the method of patients with atherosclerosis and risk population as well as normal group, patients and risk atherosclerosis group exhibited higher skin cholesterol content than normal group (all P < 0.001). The area under the ROC curve for distinguishing Normal/Disease group was 0.8642 (95% confidence interval, 0.8138 to 0.9146), meanwhile, the area under the ROC curve for distinguishing Normal/Risk group was 0.8534 (95% confidence interval, 0.8034 to 0.9034). Conclusions The method demonstrated its capability of detecting different concentration of skin cholesterol. This non-invasive skin cholesterol detection system may potentially be used as a risk assessment tool for atherosclerosis screening, especially for a large population.

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“…A typical A-scan of demineralized enamel consists of a sharp rise from the background value in signal intensity at the enamel surface due to specular reflection, followed by some high backscatter intensities from the demineralized lesion zone, and then an exponential decay with an attenuation coefficient for sound enamel. The OCT A-scan has been described by others using the Beer-Lambert law [51], i.e.,…”

mentioning

confidence: 99%

Auto-Segmentation and Quantification of Non-Cavitated Enamel Caries Imaged with Swept-Source Optical Coherence Tomography

Abdelrehim,

Salah,

Conrad

et al. 2023

Diagnostics

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(1) Background: OCT imaging has been used to assess enamel demineralization in dental research, but it is not yet developed enough to qualify as a diagnostic technique in clinics. The current capabilities of most commercial acquisition software allow for visual and qualitative assessments. There is a need for a fast and verified batch-processing algorithm to segment and analyze demineralized enamel. This study suggests a GUI MATLAB algorithm for the processing and quantitative analysis of demineralized enamel. (2) Methods: A group of artificially demineralized human enamels was in vitro scanned under the OCT, and ROI frames were extracted. By using a selected intensity threshold colormap, Inter- (Ie) and Intra- (Ia) prismatic demineralization can be segmented. A set of quantitative measurements for the average demineralized depth, average line profile, and integrated reflectivity can be obtained for an accurate assessment. Real and simulated OCT frames were used for algorithm verification. (3) Results: A strong correlation between the automated and known Excel measurements for the average demineralization depth was found (R2 > 0.97). (4) Conclusions: OCT image segmentation and quantification of the enamel demineralization zones are possible. The algorithm can assess the future development of a real-time assessment of dental diagnostics using an oral probe OCT.

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Optical coherence tomography modeling incorporating scattering, absorption, and multiple reflections

Cited by 4 publications

References 31 publications

Inverse spectroscopic optical coherence tomography (IS-OCT) for characterization of particle size and concentration

Inverse spectroscopic optical coherence tomography (IS-OCT) for characterization of particle size and concentration

Development of a non-invasive method for skin cholesterol detection: pre-clinical assessment in atherosclerosis screening

Auto-Segmentation and Quantification of Non-Cavitated Enamel Caries Imaged with Swept-Source Optical Coherence Tomography

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