Optical transmission in single-layer brain tissues under different optical source types: modelling and simulation

Xi Yang, Chengpeng Chai, Yun-Hsuan Chen, Mohamad Sawan

Article de revue (2024)

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Résumé

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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Organismes subventionnaires:
Westlake University (Hangzhou, China) - Westlake Institute of Optoelectronics, Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang
Numéro de subvention:
2020R01005
Adresse URL de PolyPublie:
Titre de la revue :
Bioengineering ( vol. 11 , no 9 )
Maison d'édition:
MDPI
OAI:
oai:publications.polymtl.ca:65415
ORCID
Date du dépôt:
07 mai 2025 15:57
Dernière modification:
03 oct. 2026 00:09
Citer en APA 7:
Yang, X., Chai, C., Chen, Y.-H., & Sawan, M. (2024). Optical transmission in single-layer brain tissues under different optical source types: modelling and simulation. Bioengineering, 11(9), 916 (14 pages). https://doi.org/10.3390/bioengineering11090916

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