基于小波熵分析的激光散斑成像及应用  

Wavelet Entropy Analysis for Laser Speckle Imaging and Its Application

作　　者：李苗 苗鹏[1] 

机构地区：[1]上海大学通信与信息工程学院

出　　处：《工业控制计算机》2019年第10期75-76,79,共3页Industrial Control Computer

摘　　要：激光散斑成像具有高时空分辨率和宽场成像的特点,已经在血流实时监测中广泛应用。但目前分析血流变化和复杂度的方法比较欠缺,提出了基于小波能量熵分析的血流数据分析方法,并与激光散斑成像结合,用于监测大鼠耳廓低温刺激后自然复温过程中血流的变化以及功能的恢复情况。通过血流信号的小波熵分析发现,在恢复期动脉和静脉的血流熵出现了显著差异性,与血管血流的功能恢复有直接关联。Laser speckle contrast imaging,a wide-field imaging method with high temporal-spatial resolution,has been applied in obtaining real-time information of blood flow.But there is a lack in blood flow data analysis.This paper proposes a wavelet entropy based analysis method to evaluate complexity of blood flow signal from the laser speckle imaging.We also explored changes in blood flow of rats'auricle after the hypothermic stimulation in the recovery period applying the new method.The wavelet entropy of artery and vein vasculatures demonstrated statistically significant difference(p<0.05),which correlates to the recovery of perfusion functions.

关 键 词：激光散斑成像 小波熵分析 局部冷却疗法 

分 类 号：TN2[电子电信—物理电子学]