首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >The cross algorithm for phase-aberration correction in medical ultrasound images formed with two-dimensional arrays
【24h】

The cross algorithm for phase-aberration correction in medical ultrasound images formed with two-dimensional arrays

机译:二维阵列形成的医学超声图像中相差校正的交叉算法

获取原文
获取原文并翻译 | 示例
           

摘要

Common-midpoint signals in the near-field signal-redundancy (NFSR) algorithm for one-dimensional arrays are acquired using three consecutive transducer elements. An all-row-plus-two-column algorithm has been proposed to implement the one-dimensional NFSR algorithm on two-dimensional arrays. The disadvantage of this method is that its ambiguity profile is not linear and a time- consuming iterative method has to be used to linearize the ambiguity profile. An all-row-plus-two-column-and-a- diagonal algorithm has also been proposed. Its ambiguity profile is linear, but it is very sensitive to noise and cannot be used. In this paper, a novel cross algorithm is proposed to implement the NFSR algorithm on two-dimensional arrays. In this algorithm, common-midpoint signals are acquired using four adjacent transducer elements, which is not available in one-dimensional arrays. Its advantage includes a linear ambiguity profile and a higher measurement signal-to-noise ratio. The performance of the cross algorithm is evaluated theoretically. The region of redundancy is analyzed. The procedure for deriving the phase- aberration profile from peak positions of cross-correlation functions between common-midpoint signals is discussed. This algorithm is tested with a simulated data set acquired with a two-dimensional array, and the result shows that the cross algorithm performs better than the all-row-plus-two- column NFSR algorithm.
机译:使用三个连续的换能器元素获取一维阵列的近场信号冗余(NFSR)算法中的公共中点信号。为了在二维阵列上实现一维NFSR算法,提出了一种全行加两列算法。该方法的缺点在于其模糊度轮廓不是线性的,并且必须使用费时的迭代方法来线性化模糊度轮廓。还提出了一种全行加两个列和一个对角线的算法。它的歧义曲线是线性的,但对噪声非常敏感,无法使用。提出了一种新颖的交叉算法,用于在二维阵列上实现NFSR算法。在该算法中,使用四个相邻的换能器元件来获取公共中点信号,而在一维数组中则不可用。它的优势包括线性歧义曲线和更高的测量信噪比。理论上评估了交叉算法的性能。分析冗余区域。讨论了从公共中点信号之间的互相关函数的峰值位置导出相差曲线的过程。用二维数组获取的模拟数据集对该算法进行了测试,结果表明交叉算法的性能优于全行加两列的NFSR算法。

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