Yu Weichuan, Yan Ping, Sinusas Albert J, Thiele Karl, Duncan James S
Department of Molecular Biophysics and Biochemistry, Yale University, 300 George Street, Suite 503, New Haven, CT 06511, USA.
Med Image Anal. 2006 Aug;10(4):495-508. doi: 10.1016/j.media.2005.12.003. Epub 2006 Mar 30.
In this paper, we studied the problem of feature-based motion tracking in echocardiographic image sequences. We described the relation between possible feature variations and different kinds of tissue motion using a linear convolution model. We also showed that motion-feature decorrelation (which means that the motion parameters estimated using feature tracking fail to represent the underlying tissue motion) compensation is an ill-posed inverse problem. Instead of finding a method that may provide better compensation results than previous approaches, we used an quantitative measure to compare the reliability of tracking features. Experiment results showed that the use of the reliability measure improved the robustness of displacement estimation. With the help of the reliability measure, we compared the performance of different features using simulations and phantom examples. While we noticed that the radio frequency (RF) signal outperforms the B-mode (BM) signal in the analysis of small deformation (e.g., less than 0.1% compression), we also found out that the BM signal works better than the RF signal in the analysis of large deformation (e.g., larger than 2% compression). The use of a band-passed filtered feature does not result in significant improvement in tracking.
在本文中，我们研究了超声心动图图像序列中基于特征的运动跟踪问题。我们使用线性卷积模型描述了可能的特征变化与不同类型组织运动之间的关系。我们还表明，运动-特征去相关（即使用特征跟踪估计的运动参数无法代表潜在的组织运动）补偿是一个不适定的逆问题。我们没有寻找一种可能比以前的方法提供更好补偿结果的方法，而是使用一种定量度量来比较跟踪特征的可靠性。实验结果表明，使用可靠性度量提高了位移估计的鲁棒性。借助可靠性度量，我们使用模拟和体模示例比较了不同特征的性能。虽然我们注意到在小变形分析（例如，小于0.1%压缩）中，射频（RF）信号优于B模式（BM）信号，但我们也发现，在大变形分析（例如，大于2%压缩）中，BM信号比RF信号表现更好。使用带通滤波特征在跟踪方面不会带来显著改善。
