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基于散斑衬比算法的高频超声血流成像技术研究 被引量:1

High-frequency ultrasound blood flow imaging based on laser speckle algorithm
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摘要 目的 探讨激光散斑衬比算法在高频超声血流成像技术中的应用。 方法 将激光散斑衬比算法拓展到高频超声血流成像领域,利用经典的激光散斑时间衬比算法对高频超声结构图像进行处理,静态组织信号得到抑制,动态血流信号信息得到加强,获得高频超声血流图像。对微血流仿体进行仿真实验,验证算法的有效性。进行人体皮肤组织活体实验,验证算法的可应用性,对不同帧数的超声结构图像进行激光散斑衬比算法处理,对比分析超声血流图像质量。 结果 微血流仿体仿真实验结果表明,管内血流信息清晰可见。人体皮肤组织活体实验结果表明,静态皮肤组织信号得到明显抑制,动态血流信号得到加强,获得清晰高频超声血流图像。通过对不同帧数超声结构图象得到的血流图像分析,图像处理帧数设为10帧时具有最佳的图像显示效果。 结论 激光散斑衬比算法可以应用于高频超声血流成像,具有良好的应用前景。 Objective To study the application of laser speckle contrast algorithm in high-frequency ultrasound blood flow imaging. Methods The laser speckle contrast algorithm was extended to the field of high-frequency ultrasound blood flow imaging. The high-frequency ultrasound structure images were processed by using the classic laser speckle temporal contrast algorithm to suppress the static tissue signals, enhance the dynamic blood flow signals, and obtain the high-frequency ultrasound blood flow images. The simulation experiments on flow phantoms were conducted to verify the effectiveness of the algorithm, and then human skin tissue in vivo experiments were performed to verify the applicability of the algorithm. The performances of blood flow images which obtained from ultrasound structure images with different frames by laser speckle contrast algorithm were compared and analyzed. Results The blood flow information in a tube was clearly visible in the flow phantoms experiments. The static skin tissue signals were significantly suppressed, dynamic blood flow signals were strengthened in the human skin tissue in vivo experiments, and high-frequency ultrasound blood flow images were obtained. By comparing and analyzing the performances of blood flow images, the results showed that the best blood flow images could be obtained when the number of frame was set to 10 frames. Conclusions The speckle contrast algorithm is feasible and has good application prospects in high-frequency ultrasound blood flow imaging.
作者 王立伟 刘帅 李易陆 李恺宁 李跃杰 Wang Liwei;Liu Shuai;Li Yilu;Li Kaining;Li Yuejie(Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin,300192, China)
机构地区 中国医学科学院
出处 《国际生物医学工程杂志》 CAS 2018年第5期390-394,共5页 International Journal of Biomedical Engineering
基金 天津市自然科学基金(16JCZDJC32100) 中国医学科学院医学与健康科技创新工程(2017-I2M-3-020).
关键词 高频超声 激光散斑 衬比 血流成像 High frequency ultrasound Laser speckle Contrast ratio Blood flow imaging
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