ArticleInternational journal for numerical methods in biomedical engineering2019
Accurate Monte Carlo simulation of frequency-domain optical coherence tomography.
Article in International journal for numerical methods in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Automatic segmentation of calibration device boundaries on ophthalmic optical biometry instruments in optical coherence tomography images.Quantitative imaging in medicine and surgery · 2025Article
- Fast and customizable image formation model for optical coherence tomography.Biomedical optics express · 2024Article
- Monte Carlo-Based Optical Simulation of Optical Distribution in Deep Brain Tissues Using Sixteen Optical Sources.Bioengineering (Basel, Switzerland) · 2024Article
- MCOCT: an experimentally and numerically validated, open-source Monte Carlo simulator for optical coherence tomography.Biomedical optics express · 2024Article
- Monte Carlo-based full-wavelength simulator of Fourier-domain optical coherence tomography.Biomedical optics express · 2022Article
- Convolutional neural network-based common-path optical coherence tomography A-scan boundary-tracking training and validation using a parallel Monte Carlo synthetic dataset.Optics express · 2022Article
- A Quantitative Model for Optical Coherence Tomography.Sensors (Basel, Switzerland) · 2021Article
- All-fiber few-mode optical coherence tomography using a modally-specific photonic lantern.Biomedical optics express · 2021Article
- Theoretical and experimental characterization of emission and transmission spectra of Cerenkov radiation generated by 177Lu in tissue.Journal of biomedical optics · 2019Article
- Accurate Monte Carlo simulation of frequency-domain optical coherence tomography.International journal for numerical methods in biomedical engineering · 2019Article
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2 authors.
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Abstract
Optical coherence tomography (OCT) relies on optical interferometry to provide noninvasive imaging of living tissues. In addition to its 3D imaging capacity for medical diagnosis, its potential use for recovering optical parameters of biological tissues for biological and pathological analyses has also been explored by researchers, as pathological changes in tissue alter the microstructure of the tissue and therefore its optical properties. We aim to develop a new approach to OCT data analysis by estimating optical properties of tissues from OCT scans, which are invisible in the scans. This is an inverse problem. Solving an inverse problem involves a forward modeling step to simulate OCT scans of the tissues with hypothesized optical parameter values and an inverse step to estimate the real optical par1meters values by matching the simulated scans to real scans. In this paper, we present a Monte Carlo (MC)-based approach for simulating the frequency-domain OCT. We incorporated a focusing Gaussian light beam rather than an infinitesimally thin light beam for accurate simulations. A new and more accurate photon detection scheme is also implemented. We compare our MC model to an analytical OCT model based on the extended Huygens-Fresnel principle (EHF) to demonstrate the consistency between the two models. We show that the two models are in good agreement for tissues with high scattering and high anisotropy factors.
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