摘要
针对超声声辐射力成像中使用的传统Loupas算法计算误差较大,成像效果不佳的问题,提出一种改进方法。该方法在Loupas算法基础上,提出通过改变时间取样窗口大小,并利用二维自相关计算平均速度,进而得到更为准确的位移计算结果。实验结果与传统Loupas算法相比,提高弹性图像对比度噪声比,有更好的成像效果。
With the purpose of solving the issue that there are errors in the traditional Loupas algorithm used in ARFI and the effects of imaging are not as good as expected, proposes an improved method to solve this proplem. Based on Loupas algorithm, it is presented that we can get more accurate computing result of the displacement by changing the size of the sampling time windows and calculating the average speed according to the 2D autocorrelator. As a result, not only improves Elastographic Contrast-to-Noise Ratio, but also the image quality.
