一个带有复合多条件交叉相关性和范围标准偏差因子的光束成形算法,用于高质量的超声波成像.
Qianwen Li1, Ping Wang1, Jinghan Chen1
1State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.
The Journal of the Acoustical Society of America
|April 1, 2025
概括
一个新的复合多条件交叉相关和范围标准偏差因子 (CMCC-RSF) 算法增强了超声波成像. 这种方法显著提高了图像分辨率和对比度,同时有效地抑制了杂乱和文物.
科学领域:
- 医疗成像医学成像
- 超声波技术 超声波技术 超声波技术
- 信号处理 信号处理
背景情况:
- 传统的延迟和总和 (DAS) 束形与超声波中的杂乱抑制作斗争.
- 整合因子光束造型器减少了杂乱,但可以引入黑暗区域的工件.
研究的目的:
- 为了提高超声波图像的分辨率和对比度.
- 开发一种适应性束形算法,以实现卓越的杂乱抑制和文物减少.
主要方法:
- 通过整合条件一致性和交叉相关性因子,引入了复合多条件交叉相关性 (MCC) 算法.
- 开发了一个范围标准偏差系数 (RSF) 以提高MCC的分辨率而不会影响斑点背景质量.
- 使用模拟和实验数据评估了CMCC-RSF算法.
主要成果:
- 与DAS相比,CMCC-RSF显著提高了半最大时的全宽度 (FWHM),高达75.14%.
- 对比率和斑点信号与噪声比率 (SNR) 的最大改进分别达到154.38%和124.53%.
- 该算法证明了无声囊内有效的杂乱抑制,并保持了斑点背景质量.
结论:
- 拟议的CMCC-RSF算法为整体超声波图像质量提供了显著的改进.
- 这种新的方法有效地平衡了杂乱抑制和图像分辨率.
- 在相对较低的计算复杂度下,CMCC-RSF提供了这些好处.
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