Guo Yingqiang, Tang Hong, Xu Weilin, Liu Shanjun, Zhang Jianmin, Shi Yingkang
Department of Cardiovascular Surgery, West China Hospital of Sichuan University, Chengdu 610041, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Dec;23(6):1149-52.
Focus on the defects of the extraction method of velocity pulsated signals in the velocity spectrum image of pulsed Doppler ultrasounds (such as the limited data, great amount of work and low reproducibility), we combine the earlier research results and the basic rules of the velocity spectrum image, and employing the visual basics plateau, to design and develop a software to extract the velocity signals from the spectrum image automatically. Compare the mean velocity and RNS between the PIV and the PDU resulting from the method, the correlations are r = 0.93 and r = 0.78 respectively. The study reveals the software increase the amount of valid data, decrease the amount of work and increase reproducibility of the signals extraction. The method may be an effective way to analyse the velocity spectrum image of PDU in clinic.
针对脉冲多普勒超声速度谱图像中速度脉动信号提取方法存在的缺陷(如数据有限、工作量大、重现性低),我们结合早期研究成果和速度谱图像的基本规律,利用可视化基础平台,设计并开发了一款能自动从谱图像中提取速度信号的软件。比较该方法得到的粒子图像测速(PIV)和脉冲多普勒超声(PDU)之间的平均速度和相对噪声标准差(RNS),相关性分别为r = 0.93和r = 0.78。研究表明该软件增加了有效数据量,减少了工作量,并提高了信号提取的重现性。该方法可能是临床分析PDU速度谱图像的一种有效途径。