代脉冲回声断层扫描用于超声波图像校正
Yuchen Zengqiu1,2, Wentao Wu1, Ling Xiao1
1Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
在回声模式 (CUTE) 中的代计算超声波断层扫描通过改进声速估计来提高超声波成像质量. 这种先进的方法比传统的单通技术提高了准确性和稳定性,从而导致更好的图像校正.
科学领域:
- 医疗成像医学成像
- 生物医学工程 生物医学工程
- 声学 声学 在声学方面
背景情况:
- 由于组织的声音速度 (SoS) 不均而导致的声学偏差会降低超声波图像质量.
- 当地SoS估计对于减轻偏差和改进成像至关重要.
- 在回声模式 (CUTE) 中的计算机超声波断层扫描利用相位移动数据提供高效的SoS估计.
研究的目的:
- 引入和验证一种代CUTE方法,用于增强的SoS估计.
- 解决传统单通 CUTE 方法在准确性和稳定性方面的局限性.
- 建议一致性因子 (CF) 作为SoS估计质量的优越指标,而不是RMSE.
主要方法:
- 开发了一种代CUTE算法,通过纠正错误和噪声来改进SoS估计.
- 使用一致性因子 (CF) 作为SoS估计的关键绩效指标.
- 通过模拟和 agar 幻影实验验验证了代 CUTE 算法.
主要成果:
- 与单通CUE方法相比,代CUE表现优越.
- 使用代CUTE,SoS估计的平均一致性因子 (CF) 提高了高达18.2%.
- 使用代CUTE衍生的SoS估计进行成像校正,在幻影实验中将阵列性能指数 (API) 降低了高达40%.
结论:
- 代CUTE显著提高了超声波成像校正的SoS估计的准确性和稳定性.
- 在这种情况下,一致性因子 (CF) 是比RMSE更适合用于评估SoS估计的指标.
- 提出的代CUTE方法为改善受声波偏差影响的超声波图像质量提供了实用和有效的解决方案.
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