基于去相关算法的激光散斑血流成像研究  

Study of laser speckle blood flow imaging based on de-correlation algorithm

作　　者：李易陆 王立伟[1] 李恺宁 李跃杰[1] 

机构地区：[1]中国医学科学院北京协和医学院生物医学工程研究所,天津300192

出　　处：《医疗卫生装备》2017年第12期1-4,19,共5页Chinese Medical Equipment Journal

基　　金：天津市自然科学基金重点项目(16JCZDJC32100);中国医学科学院生物医学工程研究所院所基金(1628)

摘　　要：目的:探讨去相关算法在激光散斑成像技术中的应用,并对血流速度进行研究。方法:对去相关激光散斑血流成像的原理和算法进行分析,搭建激光散斑成像系统平台并利用去相关激光散斑血流成像算法进行微流体靶试验和动物试验。利用去相关算法获得微流体靶的血流图像和速度曲线;根据互相关算法先绘制原始散斑图像互相关曲线,再选取其各个峰值点所对应的原始散斑图像,进行去相关激光散斑血流成像算法的运算,进一步增强血管细微信息。结果:通过对微流体靶试验和动物试验的激光散斑图像进行去相关激光散斑血流成像算法运算,可获得组织血流信息和速度信息。结论:去相关激光散斑血流成像算法在激光散斑血流成像处理方面具有可行性,有较好的应用前景。Objective To explore the application of de-correlation algorithm to laser speckle blood flow imaging technique and study the blood flow velocity. Methods The principle and algorithm were analyzed for de-correlation laser speckle blood flow imaging. A laser speckle imaging platform was established, and de-correlation laser speckle blood flow imaging algorithm was used to execute microfluidic target experiment and animal experiment. De-correlation algorithm was applied to obtaining blood flow image and velocity curve of microfluidic target. Cross-correlation curve on the original speckle images were got with cross-correlation algorithm, and the original images corresponding to the peak points were selected to undergo computation with de-correlation algorithm, so that the minute information could be augmented on the blood vessel. Results The de-correlation laser speckle blood flow imaging algorithm could be used to obtain the blood flow information and velocity information during microfluidic target experiment and the animal experiment. Conclusion The de-correlation laser speckle blood flow imaging algorithm is feasible in laser speckle imaging, and has good application prospects.

关 键 词：去相关算法 激光散斑 散斑图像 血流成像 互相关 

分 类 号：R318[医药卫生—生物医学工程] O436[医药卫生—基础医学]