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完整的辅助编码激发方案用于SNR 2D稀疏阵列超声波成像改进的完整编码激发方案
IEEE transactions on bio-medical engineering
|October 18, 2023
概括
这项研究引入了一种新的编码激发方法,使用完整的互补代码来增强3D超声波成像中的信号噪声比,使用稀疏阵列. 该技术显著提高图像质量,而不会影响率或分辨率.
科学领域:
- 医疗成像医学成像
- 声学 声学 在声学上
- 信号处理 信号处理
背景情况:
- 驱动2D矩阵阵列用于3D超声波成像,在电缆尺寸,布线和数据速率方面存在挑战.
- 稀疏阵列减少了可管理系统的元素数量,但降低了灵敏度和信号噪声比 (SNR).
研究的目的:
- 提出一种新的编码激发方案,以改善3D超声波成像中的SNR,使用稀疏阵列.
- 为了利用完整的互补代码来实现它们的理想自相关和交叉相关性质.
主要方法:
- 开发了一个算法来生成完整的互补代码.
- 实施了一种新的成像序列,利用这些代码进行稀疏阵列3D超声波.
- 通过模拟,将拟议的方法与其他编码激发方案进行比较.
主要成果:
- 拟议的方法在稀疏数组中显著提高了信号噪声比 (SNR).
- 与没有编码的激发相比,在SNR中大约获得了[公式:参见文本]的增长和[公式:参见文本]的改善.
- 保持图像分辨率,避免率降低或相关联工件.
结论:
- 完整的互补代码为在稀疏阵列3D超声波中增强SNR提供了有效的解决方案.
- 这种方法解决了稀疏数组的关键局限性,提高了成像性能.
- 该方法对推进3D超声波诊断能力有前途.
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