近红外光密度差异法检测创伤性硬膜血肿具有快速、 无创等优点, 是近几年组织光学的研究热点, 在急救临床上有着重要应用。 为了进一步提高对颅脑外伤患者血肿程度的检测精度, 采用多通道差分吸光度方法获得头部左右对称吸光度数据, 即利用与近红外光源距离不同的5个检测器采集颅脑对称位置的光密度信息, 计算对称位置的差分吸光度, 利用偏最小二乘法建立脑部光学吸收系数与差分吸光度数据之间的校正模型, 实现对颅内硬膜血肿程度的预测。 可以检测具有不同头皮颅骨厚度患者是否出现硬膜血肿, 也可预测脑血肿程度。 模型仿真预测结果显示, 所建立预测模型对硬膜血肿部分的光学吸收系数预测平均相对误差为11.16%, 对血肿发生深度预测平均相对误差小于1%, 基本满足创伤性硬膜血肿程度的无创检测需求。 将多通道差分吸光度法引入到脑部血肿近红外光谱无创检测中来, 可以明显消除个体差异对检测结果的影响, 有效提高脑血肿检测精度, 并能实现对患者脑血肿程度的预测, 该方法为近红外光谱脑部检测研究提供了新的思路和重要参考。

Differential near infrared optical density has the advantages of rapid and noninvasive detection when detecting the traumatic subdural hematoma . This technology is a hot research topic in recent years, it has an important application in emergency treatment. To further improve the accuracy of traumatic subdural hematoma degree predication, the multi-channel differential absorbance method is used in this paper. We use 5 detectors that have different distance to the source to obtain absorbance data. In addition, we use partial least square method to establish the calibration model between the optical absorption coefficient of the brain and differential optical density. The model prediction results show that average relative error of absorption coefficient is 11.16%, and average relative error of hematoma depth is less than 1%. The model basically meets the demand of traumatic subdural hematoma degree predication. By introducing multi-channel differential optical density in the detection, it could eliminate the effects of individual differences and improve the accuracy of traumatic subdural hematoma degree predication. This method provides a new idea and an important reference for the brain detection with near infrared spectroscopy.