提高多角度平面波形图像质量,使用最小方差束成形与自适应信号一致性
Che-Chou Shen1, Chun-Lin Huang1
1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
适应式延迟乘和和 (ADMAS) 方法通过局部调整信号连贯性来提高超声图像质量. 这种新技术提高了分辨率和对比度,而不牺牲背景斑点质量,优于传统方法.
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:
- 超声成像中的常规连贯平面波组合 (CPWC) 由于标准的延迟和总和束成形,提供了有限的质量.
- 延迟乘和和 (DMAS) 通过结合信号连贯性来提高图像质量,但通常会降低背景斑点.
- 现有的DMAS方法采用全球一致性值,影响整体图像质量和对比度与噪声比率 (CNR).
研究的目的:
- 为超声波多角度平面波成像引入一个自适应的DMAS (ADMAS) 算法.
- 通过调整信号连贯性以适应局部图像特征来保持背景斑点质量和CNR.
- 将ADMAS与最小方差 (MV) 束形进行组合,以提高图像分辨率.
主要方法:
- 开发了自适应的DMAS (ADMAS) 算法,使信号连贯性取决于局部图像区域.
- 集成的ADMAS具有最小方差 (MV) 束形,优化沿平面波传输角度 (Tx) 优化MV估计.
- 评估了TxMV-ADMAS光束成形方法,使用PICMUS数据集进行多角度平面波成像.
主要成果:
- 与CPWC相比,TxMV-ADMAS显著提高了图像质量.
- 虽然传统的DMAS提高了分辨率 (0.57mm到0.24mm) 和对比度 (27.0dB到38.0dB),但它降低了CNR (12.8到11.3).
- 拟议的ADMAS算法恢复了CPWC水平的CNR,同时保持了增强的分辨率和对比度.
结论:
- 拟议的TxMV-ADMAS光束成形方法有效地提高了超声波图像的分辨率和对比度.
- 亚德马斯保留了背景斑质量和CNR,克服了传统全球一致性方法的局限性.
- 这种适应性方法为多角度平面波超声波成像提供了卓越的图像质量.
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