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Optimizing the Monte-Carlo Simulation Program for NIRS Modeling of Biological Tissues in Optoelectronic Devices

Authors: Wang, Wenzheng; Li, Songlin; Saliba, Ibrahim; Hardy, Alexandre; Vialle, Raphaël; Denoulet, Julien; Feruglio, Sylvain;

Optimizing the Monte-Carlo Simulation Program for NIRS Modeling of Biological Tissues in Optoelectronic Devices

Abstract

To support the design of optoelectronic systems using NIRS (Near-Infrared Spectroscopy), we have enhanced and evaluated an open-source software that uses the Monte-Carlo simulation method to model photon propagation in biological tissues. These enhancements enable accurate estimation of the MOP (Mean Optical Path) and penetration depth of incident light, offering researchers tools to simulate and analyze light behavior in biological tissues. We validated these improvements by applying them to both single-layer and multi-layer tissues. The software now features a crucial function to calculate the transmission and reflection rates based on the area and position of the photodetection zone. Validation results indicated that the relative error between the calculated and theoretical transmis- sion and reflection rates was within acceptable limits. These enhancements significantly enhance the software’s practicality, aiding researchers in better understanding and utilizing NIRS technology. Thus, simulations of human ankle tissue with the upgraded software confirmed the enhancements’ effectiveness through MOP analysis that photons reached the ligament layer.

Keywords

MOP, Graphical user interfaces, Biological system modeling, MCML, Reflection, Monte Carlo methods, Optical propagation, Photonics, NIRS, Optical reflection, Optical receivers, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Monte-Carlo, Biomedical optical imaging, Biological tissues

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green