Qian Ming, Yan Liang, Niu Lili, Jin Qiaofeng, Ling Tao, Chen Yun, Zheng Hairong
Paul C. Lauterbur Research Center for Biomedical imaging, the Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518067.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:451-4. doi: 10.1109/IEMBS.2009.5334863.
This paper presents a high-resolution microscale ultrasonic particle image velocimetry technique (termed as Micro-EPIV) for measuring multi-component velocity vectors in microscale opaque flows such as blood and biofluid flow in microvessel. The method was tested by in vitro flow imaging and in vivo small animal blood flow imaging studies. The bioflow and blood flow were seeded with ultrasound contrast microbubbles, and were "illuminated" acoustically by 50 MHz and 30 MHz ultrasound, respectively. B-mode images obtained at imaging frame rate of 10 frames per second (fps) and 110 fps were constructed from back-scattered RF signals from bubbles. Then, consecutive images were processed with optimized PIV algorithm, to acquire multi-component velocity vectors. The results were in good agreement with analytical solutions and the velocities measured by ultrasound Doppler technique.
本文提出了一种高分辨率微尺度超声粒子图像测速技术（称为微尺度粒子图像测速技术），用于测量微尺度不透明流体（如微血管中的血液和生物流体流动）中的多分量速度矢量。该方法通过体外流动成像和体内小动物血流成像研究进行了测试。生物流体流和血流中注入了超声造影微泡，并分别用50MHz和30MHz的超声进行声学“照明”。从气泡的反向散射射频信号构建了以每秒10帧（fps）和110fps的成像帧率获得的B模式图像。然后，用优化的粒子图像测速算法处理连续图像，以获取多分量速度矢量。结果与解析解和超声多普勒技术测量的速度吻合良好。
