ArticleBiomedical optics express2017
Lookup table-based sampling of the phase function for Monte Carlo simulations of light propagation in turbid media.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The Relationship Between the Optical Properties of Articular Cartilage and the Biomechanical Parameters of the Tissue.Journal of biophotonics · 2025Article
- Monte Carlo-based full-wavelength simulator of Fourier-domain optical coherence tomography.Biomedical optics express · 2022Article
- MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package.Journal of biomedical optics · 2022Article
- Phase function estimation from a diffuse optical image via deep learning.Physics in medicine and biology · 2022Article
- Verification method of Monte Carlo codes for transport processes with arbitrary accuracy.Scientific reports · 2021Article
- Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging.Journal of biomedical optics · 2021Article
- Optical properties of PlatSil SiliGlass tissue-mimicking phantoms.Biomedical optics express · 2020Article
- Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network.Biomedical optics express · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Analytical expressions for sampling the scattering angle from a phase function in Monte Carlo simulations of light propagation are available only for a limited number of phase functions. Consequently, numerical sampling methods based on tabulated values are often required instead. By using Monte Carlo simulated reflectance, we compare two existing and propose an improved numerical sampling method and show that both the number of the tabulated values and the numerical sampling method significantly influence the accuracy of the simulated reflectance. The provided results and guidelines should serve as a good starting point for conducting computationally efficient Monte Carlo simulations with numerical phase function sampling.
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Registered trials
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