电子科技 ›› 2019, Vol. 32 ›› Issue (1): 67-71.doi: 10.16180/j.cnki.issn1007-7820.2019.01.0014

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基于预失真编码激励与最小方差波束形成的超声成像算法

康维新,巩雪,刘玉梅,王红茹   

  1. 哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001
  • 收稿日期:2017-12-19 出版日期:2019-01-15 发布日期:2018-12-29
  • 作者简介:康维新(1963-),男,博士,教授。研究方向:信息智能检测理论与技术、现代传感与检测技术。|巩雪(1991-),女,硕士研究生。研究方向:信号分析与成像技术。
  • 基金资助:
    国家自然科学基金(61371174)

Ultrasound Imaging Based on Predistortion Coded Excitation and Minimum Variance Beamforming

KANG Weixin,GONG Xue,LIU Yumei,WANG Hongru   

  1. School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
  • Received:2017-12-19 Online:2019-01-15 Published:2018-12-29
  • Supported by:
    National Natural Science Foundation of China(61371174)

摘要:

为了提高医学超声成像的轴向分辨力,文中提出一种基于预失真编码激励与改进最小方差自适应波束相结合的成像方法。该方法一方面对编码激励信号进行预失真和旁瓣抑制处理,补偿探头对信号的影响,提高发射端的分辨率与成像对比度;另一方面对接收数据采用改进的最小方差波束形成,有效提高了医学超声成像过程中的分辨率并改善自适应算法的鲁棒性。仿真结果表明,相对于恒包络信号与传统的延时叠加波束形成算法,文中算法从信号源和接收数据两方面提高了成像的对比度和分辨力,为实现高质量的超声成像系统提供了理论依据。

关键词: 超声成像, 预失真, 编码激励, 最小方差, 分辨率, 对比度

Abstract:

In order to improve the axial resolution of medical ultrasound imaging, an imaging method based on predistortion coded excitation and improved minimum variance was proposed. On the one hand, this method compensated the influence of the probe on the signal and improved the resolution of the emitter through the predistortion and sidelobe reduction technology of the coded excitation signal. On the other hand, the improved minimum variance beamforming was applied, which effectively improved the resolution of medical ultrasound imaging and improved the robustness of adaptive algorithm. The simulation results showed that the proposed method obtained better performance than the constant envelope excitation and the conventional delay-and-sum beamformer algorithms in the imaging resolution and robustness. Meanwhile, the algorithm provided theory evidence for the realization of high-quality ultrasonic image system.

Key words: ultrasound imaging, predistortion, coded excitation, minimum variance, resolution, contrast

中图分类号: 

  • TN27