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System-Independent Ultrasound Attenuation Coefficient Estimation Using Spectra Normalization

机译:使用谱归一化估计与系统无关的超声衰减系数

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Ultrasound attenuation coefficient estimation (ACE) has diagnostic potential for clinical applications such as differentiating tumors and quantifying fat content in the liver. The two commonly used ACE methods in the ultrasound array imaging system are the spectral shift method and the reference-phantom-based methods. The spectra shift method estimates the central frequency downshift along depth, whereas the reference-phantom-based methods use a well-calibrated phantom to cancel system dependent effects in attenuation estimation. In this study, we propose a novel system-independent ACE technique based on spectra normalization of different frequencies. This technique does not require a reference phantom for normalization. The power of each frequency component is normalized by the power of an adjacent frequency component in the spectrum to cancel system-dependent effects, such as focusing and time gain compensation (TGC). This method is referred to as the reference frequency method (RFM), and its performance has been evaluated in phantoms and in vivo liver studies. The RFM technique can be applied to various transducer geometries (e.g., linear or curved arrays) with different beam patterns (e.g., focused or unfocused).
机译:超声衰减系数估算(ACE)对于临床应用具有诊断潜力,例如区分肿瘤和量化肝脏中的脂肪含量。超声阵列成像系统中两种常用的ACE方法是光谱偏移法和基于参考幻像的方法。频谱偏移方法估计沿深度的中心频率下移,而基于参考幻像的方法使用经过良好校准的幻像来消除衰减估计中与系统有关的影响。在这项研究中,我们提出了一种基于不同频率频谱归一化的新型独立于系统的ACE技术。此技术不需要参考体模进行标准化。每个频率分量的功率通过频谱中相邻频率分量的功率进行归一化,以消除与系统有关的影响,例如聚焦和时间增益补偿(TGC)。该方法称为参考频率方法(RFM),其性能已在幻像和体内肝脏研究中进行了评估。 RFM技术可以应用于具有不同波束图案(例如聚焦或未聚焦)的各种换能器几何形状(例如,线性或弯曲阵列)。

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