首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Adaptive motion estimation of shear shock waves in soft solids and tissue with ultrasound
【24h】

Adaptive motion estimation of shear shock waves in soft solids and tissue with ultrasound

机译:超声对软固体和组织中剪切激波的自适应运动估计

获取原文
获取原文并翻译 | 示例
           

摘要

Shear shock waves in soft solids, such as in tissue, have different regions of complex motion that can change rapidly across a single wave profile, especially at the shock front. Conventional tracking algorithms are not well adapted to the task of simultaneously tracking the discontinuous shock front and smooth regions away from the shock. An adaptive algorithm based on the normalized cross-correlation and a correlation-weighted median filter is presented. The proposed adaptive algorithm combines two features: first, it adapts the window size to optimize the correlation value based on the deformation, and second, it rejects inaccurate estimates with a median-weighted filter. For simulated ultrasound data, where the displacements are known, it is shown that the estimated velocity error for the adaptive algorithm is less than 1/3 of the error for non-adaptive normalized cross-correlation. The addition of the weighted median filter to the adaptive algorithm significantly improves the shock tracking performance. The shock position and rise-time error is almost an order of magnitude better with the median-weighted filter. This algorithm is then used to track shock wave propagation with data acquired by a high-frame-rate ultrasound scanner in a tissue-mimicking agar and gelatin phantom. The shock front is not resolved with conventional algorithms but it is clearly visible with the proposed adaptive median-weighted algorithm.
机译:软固体(如组织)中的剪切激波具有复杂的运动区域,可以在单个波形中快速变化,特别是在激波前沿。传统的跟踪算法不能很好地适应同时跟踪不连续的激波前沿和远离激波的平滑区域的任务。提出了一种基于归一化互相关和相关加权中值滤波的自适应算法。所提出的自适应算法具有两个特征:首先,它根据变形来调整窗口大小以优化相关值;其次,它使用中值加权滤波器拒绝不准确的估计。对于已知位移的模拟超声数据,表明自适应算法的估计速度误差小于非自适应归一化互相关误差的1/3。将加权中值滤波器添加到自适应算法中可显着提高冲击跟踪性能。使用中值加权滤波器,震荡位置和上升时间误差几乎要好一个数量级。然后使用该算法跟踪冲击波的传播,该数据是由高帧速超声扫描仪在模仿组织的琼脂和明胶模型中获取的数据。常规算法不能解决冲击波前沿问题,但采用自适应中值加权算法可以清楚地看到冲击波前沿。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号