Suppr超能文献

近红外光在成人头部模型中的传播。I. 脑脊液层中低水平散射的建模。

Near-infrared light propagation in an adult head model. I. Modeling of low-level scattering in the cerebrospinal fluid layer.

作者信息

Okada Eiji, Delpy David T

机构信息

Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.

出版信息

Appl Opt. 2003 Jun 1;42(16):2906-14. doi: 10.1364/ao.42.002906.

Abstract

Adequate modeling of light propagation in a human head is important for quantitative near-infrared spectroscopy and optical imaging. The presence of a nonscattering cerebrospinal fluid (CSF) that surrounds the brain has been previously shown to have a strong effect on light propagation in the head. However, in reality, a small amount of scattering is caused by the arachnoid trabeculae in the CSF layer. In this study, light propagation in an adult head model with discrete scatterers distributed within the CSF layer has been predicted by Monte Carlo simulation to investigate the effect of the small amount of scattering caused by the arachnoid trabeculae in the CSF layer. This low scattering in the CSF layer is found to have little effect on the mean optical path length, a parameter that can be directly measured by a time-resolved experiment. However, the partial optical path length in brain tissue that relates the sensitivity of the detected signal to absorption changes in the brain is strongly affected by the presence of scattering within the CSF layer. The sensitivity of the near-infrared signal to hemoglobin changes induced by brain activation is improved by the effect of a low-scattering CSF layer.

摘要

对人体头部光传播进行充分建模,对于定量近红外光谱学和光学成像而言至关重要。先前研究表明,包围大脑的无散射脑脊液(CSF)的存在,对头部的光传播有强烈影响。然而,在实际情况中,脑脊液层中的蛛网膜小梁会引起少量散射。在本研究中,通过蒙特卡罗模拟预测了在脑脊液层内分布有离散散射体的成人头部模型中的光传播,以研究脑脊液层中蛛网膜小梁引起的少量散射的影响。结果发现,脑脊液层中的这种低散射对平均光程长度影响很小,而平均光程长度是一个可通过时间分辨实验直接测量的参数。然而,与检测信号对大脑吸收变化的敏感度相关的脑组织中的部分光程长度,会受到脑脊液层内散射的强烈影响。低散射脑脊液层的作用提高了近红外信号对大脑激活引起的血红蛋白变化的敏感度。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验