https://scholars.lib.ntu.edu.tw/handle/123456789/581528
標題: | Simulation Study on the Optimization of Photon Energy Delivered to the Prefrontal Cortex in Low-Level-Light Therapy Using Red to Near-Infrared Light | 作者: | Huang L.-D Kao T.-C KUNG-BIN SUNG Abraham J.A. |
關鍵字: | Biochemistry; Brain; Infrared devices; Monte Carlo methods; Photons; Well stimulation; External stimulus; Hemodynamic activities; Near infrared light; Near-infrared photons; Optical parameter; Prefrontal cortex; Simulation studies; Uniform intensity; Light | 公開日期: | 2021 | 卷: | 27 | 期: | 4 | 來源出版物: | IEEE Journal of Selected Topics in Quantum Electronics | 摘要: | Brain functions have been proved to be affected by external stimuli. Low-Level-Light Therapy (LLLT) using near-infrared photons is one of the effective ways to modulate the hemodynamic activities in the brain. However, the biphasic hormetic dose-response where bioenergetics are stimulated at a low dose and inhibited at a high dose is well observed in all photon stimulations. The amount of photon energy delivered to the brain are affected by the wavelength as well as the multilayered head structure with variations of optical parameters (OPs). A real 3D volume head model is built for each participant in this study, and the boundary conditions of each OP in each layer is considered. The Monte Carlo simulation with wavelengths ranging from 650 nm to 1064 nm is implemented to investigate the energy delivered to the brain under different radiation profiles. Results show that 1064-nm photons penetrate deeper than 810-nm photons except for scalp absorption at the lower bound due to low melanin content. Collimated-beam radiation is better than diverging-beam due to a more uniform intensity distribution at the scalp surface. Further research to optimize LLLT dosage for each individual is imperative due to the high inter-person variability in structure and OPs. ? 1995-2012 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099726545&doi=10.1109%2fJSTQE.2021.3051671&partnerID=40&md5=d549ee1126ad78f275399bebe28dec94 https://scholars.lib.ntu.edu.tw/handle/123456789/581528 |
ISSN: | 1077260X | DOI: | 10.1109/JSTQE.2021.3051671 |
顯示於: | 生醫電子與資訊學研究所 |
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