扩散光检测方法是应用于局部脑血流量长时间连续检测非常具有潜力的方法之一。传统脑血流量检测存在辐射且无法长时间连续检测，而光谱法直接测量时灵敏度低，漫射相关光谱法易受头皮血流干扰。申请人前期研究发现，基于光外差（OHD）技术的干涉型扩散波光谱法（iDWS）能够有效提高测量灵敏度，参考测量方法可用于抑制头皮血流等共模干扰。本项目拟以局部脑血流量为研究对象，探索其对信号光的影响机制，阐明光外差-干涉型扩散波光谱法（OHD-iDWS）获得差拍信号的幅频和相频响应量转换机理，然后分析测量灵敏度的位置特性和波长特性，确定用于参考测量的基准位置和基准波长，最后采用偏最小二乘回归和栈式自编码深度神经网络方法，建立OHD-iDWS联合参考测量方法的高精度局部脑血流量预测模型。本项目旨在为局部脑血流量的长时间连续检测提供一种快速、精度高、可靠性好的新方法，为临床心脑血管疾病和特殊病症的早诊和研究提供新思路。

Diffused light detection is one of the promising methods for regional cerebral blood flow sensing. Traditional cerebral blood flow detection methods can’t overcome the shortcomings such as radiation and non-continuous. The sensitivity of direct measurement by spectroscopy is relatively low and diffuse correlation spectroscopy is easily interfered by scalp blood flow. While the optical- heterodyne-detection (OHD)-based interferometric diffusing wave spectroscopy (iDWS) is able to improve the sensitivity and reference measurement method can be used to suppress common-mode interferences such as scalp blood flow basing on the applicant’s previous research findings. Taking regional cerebral blood flow as the object of this research, we plan to explore the mechanism that how regional cerebral blood flow affects signal light, and clarify the amplitude frequency and phase frequency response conversion mechanism of the beat signal obtained by optical heterodyne-interferometric diffusing wave spectroscopy (OHD-iDWS). Then the reference position，reference wavelength and reference measurement method are determined by analyzing position distribution characteristic and wavelength distribution characteristic of measurement sensitivity. Finally, a high-precision regional cerebral blood flow prediction model is established by adopting partial least squares regression and stacked autoencoder deep neural network methods. This project aims to provide a fast, accurate and reliable new method for long-term continuous detection of regional cerebral blood flow, and offers a new idea for early diagnosis and research of cardiovascular and cerebrovascular diseases and special diseases.