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基于相位的2D超声弹性成像形变估计

Phase-Based Ultrasonic Deformation Estimation Using 2D Analysis Window

作者: 崔少国  彭彩碧  李明 
单位:湖北医药学院计算机中心(湖北十堰442000);2 湖北医药学院附属太和医院(湖北十堰442000)
关键词: 超声弹性成像;形变;位移估计;加权相位分离;幅度调制修正 
分类号:
出版年·卷·期(页码):2010·29·6(587-593)
摘要:

目的 探究应用2D分析窗和幅度调制修正(AMC)技术对加权相位分离(WPS)算法性能的影响。方法 首先将位移估计公式和WPS算法推广到2D形式,然后仿真一个均匀组织弹性模型并对其施加0.1%、1%和4%的应变:再分别使用1D窗和2D窗,以及使用AMC和不使用AMC技术对仿真模型分别进行弹性成像,并计算对应弹性图像的信噪比(SNR);最后在2D窗情况下,使用AMC和不使用AMC技术对弹性体模Phantom进行了实际成像。结果 仿真实验结果表明,与1D窗相比2D窗可使图像的SNR提高;同样AMC技术也使图像的SNR提高且更加显著。弹性体模的实验结果表明,AMC技术使弹性图像更加平滑细腻,伪应变噪声减少,SNR提高。结论 2D窗和AMC技术的使用能提高WPS算法的性能进而提高弹性图像的质量。

Objective To investigate the effect of 2D analysis window and amplitude modulation correction (AMC) on the performance of weighted phase separation (WPS) algorithm. Methods Firstly we modified the AMC and WPS to 2D window form. Then we simulated an uniformly elasticity tissue model and applied 0.1%, 1% and 4% strains to the model. After that we produced various elastograms when using 1D and 2D analysis windows respectively also using AMC or not, and computed the signal to noise ratio (SNRe). Finally we conducted phantom experiment by using 2D window and compared the images qualities with AMC and without AMC. Results The simulation results showed that both using 2D analysis window and using AMC could improve elastogram SNRe, and the latter improvement was more prominent. The phantom experiments also confirmed that strain images were smoother and less artifact noise by using 2D analysis window and AMC, the corresponding strain image SNRe also had been improved. Conclusion 2D analysis and AMC could improve the performance of WPS algorithm and improve elasogram quality.

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