基于近红外光谱法脑血肿检测的最佳检测距离选择

Optimal Detection Distance in Near-infrared Brain Hematoma Detection

为提高近红外光谱法脑血肿无创检测的精度,需准确选择最佳的光源-检测器(Source-Detector,SD)位置。本研究以脑血肿发生深度为感兴趣深度(deep of interest,DOI),根据来自于DOI的光子数量定义等效信噪比(equivalent signal to noise ratio,ESNR)参数。利用蒙特卡洛算法对双层脑部模型进行仿真,分别获得了0.1、0.15、0.2、0.25、0.3 cm头皮颅骨厚度下的光源-检测器与ESNR的对应关系,从而可以根据被测者的个体差异选择最佳的光源-检测器距离以获得脑血肿检测的准确结果。SD-ESNR表格的建立,为不同检测者脑血肿检测时提供了信噪比较高的光源-检测器位置。

In order to obtain a higher signal to noise ratio of the optical signal, especially from the depth of interest, the equivalent signal to noise ratio （ESNR） was defined as the proportion of the photons from the DOI to the total photons the detector got to evaluate the best source and detector （SD） separation.The Monte-Carlo（MC）simulation was used to establish a multi brain layer model to analyze the distribution of the ESNR along the radial direction for different DOIs and several basic brain optical and structu reparameters.It provides an important reference and new thin king for the brain imagingin the near infrared.