Temporary spinal cord stimulation (tSCS) can effectively reduce the pain and severity of postherpetic neuralgia (PHN). However, there are no effective and objective methods for predicting the effects of tSCS on PHN. Laser speckle contrast imaging (LSCI) is frequently used in neurology to evaluate the effectiveness of treatment. To assess the accuracy of LSCI in predicting the impact of tSCS on PHN, 14 adult patients receiving tSCS treatments for spinal nerve-innervated (C6-T2) PHN participated in this observational study. Visual analog scale (VAS) assessments and LSCI blood flow images of the fingers were recorded after the tSCS procedure. The results showed that the VAS scores of all patients decreased significantly. Moreover, the blood flow index (BFI) values were significantly higher than they were before the procedure. Increased blood flow and pain alleviation were positively correlated. The findings indicated that spinal nerve PHN (C6-T2) was significantly reduced by tSCS. Pain alleviation by tSCS was positively correlated with increased blood flow in the hand. The effect of tSCS on PHN may thus be predicted using an independent and consistent indicator such as LSCI.

Laser speckle contrast imaging (LSCI) is a powerful tool for monitoring blood flow changes in tissue or vessels in vivo, but its applications are limited by shallow penetration depth under reflective imaging configuration. The traditional LSCI setup has been used in transmissive imaging for depth extension up to 2lt–3lt (lt is the transport mean free path), but the blood flow estimation is biased due to the depth uncertainty in large depth of field (DOF) images. In this study, we propose a transmissive multifocal LSCI for depth-resolved blood flow in thick tissue, further extending the transmissive LSCI for tissue thickness up to 12lt. The limited-DOF imaging system is applied to the multifocal acquisition, and the depth of the vessel is estimated using a robust visibility parameter Vr in the coherent domain. The accuracy and linearity of depth estimation are tested by Monte Carlo simulations. Based on the proposed method, the model of contrast analysis resolving the depth information is established and verified in a phantom experiment. We demonstrated its effectiveness in acquiring depth-resolved vessel structures and flow dynamics in in vivo imaging of chick embryos.

为了解决常规数字图像相关法应用于高温工况下热应变测量时, 人工制作的散斑受高热载荷冲击容易出现变色、熔化、脱落的问题, 采用激光散斑作为数字图像相关法特征纹理的方法, 计算温度变化前后散斑图像相关性来测量金属热应变, 进行了非真空环境下加热试件的实验, 以及在管式加热炉中分别对铝试件和钨试件进行人工散斑和激光散斑的真空加热实验对比, 取得了相应的散斑图像, 并计算出平均应变曲线数据。结果表明, 在非真空环境下, 由于热流扰动导致激光散斑图像抖动较大, 测量出的热应变曲线存在较大的干扰噪声; 铝从室温升至450 ℃和钨从室温升至800 ℃的热应变与人工散斑结果相对一致; 激光散斑数字图像相关法在类似聚变堆偏滤器高真空、高热流条件下, 可以有效地测出金属壁面的动态热应变。该研究为聚变堆偏滤器第一壁材料的损伤诊断提供了新思路。

散斑结构光因只需投射一幅图像即可获取三维信息，成为近年来的研究热点。但利用散斑结构光进行三维信息获取时，存在散斑特征点匹配数量少、误匹配率高的问题，为此研究了散斑特征点提取与匹配算法。在分析散斑点区域灰度分布规律的基础上，提出一种基于灰度值比较的散斑特征点提取方法，通过比较窗口上相关像素灰度值进行粗提取，定义特征点响应函数消除冗余检测。匹配方面，建立散斑特征点描述子，提出一种基于描述子信息的多约束扩散匹配方法，首先通过多约束条件获得匹配度较高的种子点，生成种子点队列，其次利用队列中种子点的描述子信息，对描述子中未匹配的散斑特征点进行扩散匹配。实验结果表明，与其他方法相比，所提算法将匹配数量提高了35%以上，误匹配率降低到0.12%。

激光散斑对比成像(LSCI)是一种以宽视场方式监测血流速度的非扫描光学成像技术。LSCI技术具有高时间-空间分辨率、快速实时成像、非接触式、仪器结构简单、无需造影剂等优势。本文简要介绍了LSCI的基本原理，概述了反射式LSCI和透射式LSCI两种结构，综述了LSCI在皮肤血流、大脑皮层和视网膜血流等生物医学应用中的最新研究进展，并对其发展前景做了进一步展望，为血流监测提供理论依据和实践指导。

激光散斑衬比血流成像（LSCI）是一种利用激光散斑强度的时空统计特性来实现活体组织血流监测的全场光学成像技术，在临床诊断和生命科学等研究领域具有重要的应用价值。本文在介绍LSCI基本原理的基础上，重点对高信噪比LSCI、高分辨率LSCI、高精度LSCI、大成像深度LSCI和新型LSCI系统等关键技术及其应用的研究进展进行综述。首先，综述了各向异性滤波、特征值分解和变换域滤波的高信噪比LSCI技术，并总结了以运动伪影校正、失焦模糊校正和非均匀光强校正为目标的高分辨率LSCI技术的研究现状；然后，以实现高精度LSCI为目标，从静态散射光校正、定量LSCI技术和新型散斑衬比成像算法等方面阐述了高精度LSCI技术的研究进展；最后，总结大成像深度LSCI技术的发展现状与进展，介绍新型LSCI系统及其应用的最新研究成果，并对LSCI技术未来的发展方向和应用功能拓展进行总结和展望。