首页> 外文会议>2011 4th International Congress on Image and Signal Processing >Displacement and strain estimation based on numerical optimization method with powell algorithm and wavelet analysis in ultrasound elastography
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Displacement and strain estimation based on numerical optimization method with powell algorithm and wavelet analysis in ultrasound elastography

机译:弹性弹性成像中基于鲍威尔算法和小波分析的数值优化方法的位移和应变估计

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Displacements estimated from two ultrasound echo signals acquired before and after applying quasi-static external forces can be utilized to generate strain images for ultrasound elastography. In this study, a displacement and strain estimation method based on numerical optimization method with Powell algorithm and wavelet analysis (NOMPA-WA) is proposed. Compared with the original numerical optimization method with Powell algorithm (NOMPA), the improvement of this method is that the setting of windows size is self-adaptive based on wavelet analysis of strains calculated from initial estimated displacements. Compared with original NOMPA, the proposed method produces fewer errors in the area with sharper transition by different tissues motion in the simulation experiment. Overall, it reduces strain estimation errors by 10.1% to 7.7% in this area.
机译:从在施加准静态外力之前和之后获取的两个超声回波信号估计的位移可用于生成用于超声弹性成像的应变图像。提出了一种基于数值优化方法的基于鲍威尔算法和小波分析的位移应变估计方法(NOMPA-WA)。与原始的采用Powell算法(NOMPA)进行数值优化的方法相比,该方法的改进之处在于,基于从初始估计位移计算出的应变的小波分析,窗口大小的设置是自适应的。与原始的NOMPA相比,在模拟实验中,该方法在不同组织运动的情况下,在具有急剧过渡的区域中产生的误差较小。总体而言,它在该区域将应变估计误差降低了10.1%至7.7%。

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