Rivaz Hassan, Boctor Emad, Foroughi Pezhman, Zellars Richard, Fichtinger Gabor, Hager Gregory
Engineering Research Center for Computer Integrated Surgery, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA.
IEEE Trans Med Imaging. 2008 Oct;27(10):1373-7. doi: 10.1109/TMI.2008.917243.
This paper introduces a 2-D strain imaging technique based on minimizing a cost function using dynamic programming (DP). The cost function incorporates similarity of echo amplitudes and displacement continuity. Since tissue deformations are smooth, the incorporation of the smoothness into the cost function results in reduced decorrelation noise. As a result, the method generates high-quality strain images of freehand palpation elastography with up to 10% compression, showing that the method is more robust to signal decorrelation (caused by scatterer motion in high axial compression and nonaxial motions of the probe) in comparison to the standard correlation techniques. The method operates in less than 1 s and is thus also potentially suitable for real time elastography.
本文介绍了一种基于动态规划（DP）最小化代价函数的二维应变成像技术。该代价函数包含回波幅度的相似性和位移连续性。由于组织变形是平滑的，将平滑性纳入代价函数可减少去相关噪声。结果表明，该方法能够生成高达10%压缩率的徒手触诊弹性成像的高质量应变图像，这表明与标准相关技术相比，该方法对信号去相关（由高轴向压缩中的散射体运动和探头的非轴向运动引起）具有更强的鲁棒性。该方法运行时间不到1秒，因此也有可能适用于实时弹性成像。
