ArticleBioengineering (Basel, Switzerland)2024
Optical Transmission in Single-Layer Brain Tissues under Different Optical Source Types: Modelling and Simulation.
Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Water-sensitive photoacoustic temperature characterization at 960 nm in cerebral vascular phantoms with CT co-registration.Photoacoustics · 2026Article
- Monte Carlo-Based Optimization of Multi-Source Illumination for Photoacoustic Signal Generation in Human Gray-Matter Vessels.Journal of biophotonics · 2026Article
- CW-fDOT with a standard optical brain model: improving hemodynamic sensitivity and functional localization.Neurophotonics · 2026Article
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4 authors.
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Abstract
The human brain is a complex organ controlling daily activity. Present technique models have mostly focused on multi-layer brain tissues, which lack understanding of the propagation characteristics of various single brain tissues. To better understand the influence of different optical source types on individual brain tissues, we constructed single-layer brain models and simulated optical propagation using the Monte Carlo method. Based on the optical simulation results, sixteen optical source types had different optical energy distributions, and the distribution in cerebrospinal fluid had obvious characteristics. Five brain tissues (scalp, skull, cerebrospinal fluid, gray matter, and blood vessel) had the same set of the first three optical source types with maximum depth, while white matter had a different set of the first three optical source types with maximum depth. Each brain tissue had different optical source types with the maximum and minimum full width at half maximum. The study on single-layer brain tissues under different optical source types lays the foundation for constructing complex brain models with multiple tissue layers. It provides a theoretical reference for optimizing the selection of optical source devices for brain imaging.
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