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利用近红外光对人脑进行无损检测有良好的应用前景。然而脑部客观存在的多层结构使人们对从较深部位提取有用信息产生疑问。本文利用 Ｍｏｎｔｅ Ｃａｒｌｏ 方法对人头部建立了光传播的多层模型，针对光在头部的传播模式和脑部结构对提取深部信息的影响得出了一些结果。本文结果表明，由于脑脊液透明层的存在，使近红外光在头部能够探测较深部位的生理参数变化但难于获得较好的空间分辨能力。
The use of near-infrared light on the human brain nondestructive testing has a good prospect. However, the multi-layered structure of the objective existence of the brain causes people to question the extraction of useful information from deeper parts. In this paper, Monte Carlo method is used to establish a multi-layer model of light propagation in the human head. Some results are obtained according to the propagation modes of light in the head and the effect of brain structure on extracting deep information. Our results show that due to the existence of transparent layer of cerebrospinal fluid, NIR can detect the physiological parameters in deeper parts of the head, but it is difficult to obtain better spatial resolution.