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首页> 美国卫生研究院文献>other >Effects of Signal Saturation on QUS Parameter Estimates Based on High-frequency-ultrasound Signals Acquired from Isolated Cancerous Lymph Nodes
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Effects of Signal Saturation on QUS Parameter Estimates Based on High-frequency-ultrasound Signals Acquired from Isolated Cancerous Lymph Nodes

机译：基于从孤立的癌淋巴结获取的高频超声信号信号饱和度对QUS参数估计的影响

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摘要

Choosing an appropriate dynamic range for acquiring radio-frequency (RF) data from a high-frequency ultrasound (HFU) system is challenging because signals can vary greatly in amplitude as a result of focusing and attenuation effects. In addition, quantitative ultrasound (QUS) results are altered by saturated data. In this study, the effects of saturation on QUS estimates of effective scatterer diameter (ESD) and effective acoustic concentration (EAC) were quantified using simulated and experimental RF data. Experimental data were acquired from 69 dissected human lymph nodes using a single-element transducer with a 26-MHz center frequency. Artificially saturated signals (xc) were produced by thresholding the original unsaturated RF echo signals. Saturation severity was expressed using a quantity called saturate-SNR (SSNR). Results indicated that saturation has little effect on ESD estimates. However, EAC estimates decreased significantly with decreasing SSNR. An EAC correction algorithm exploiting a linear relationship between EAC values over a range of SSNR values and l1- norm of xc (i.e., the sum of absolute values of the true RF echo signal) is developed. The maximal errors in EAC estimates resulting from saturation were −8.05 dB/mm3, −3.59 dB/mm3 and −0.93 dB/mm3 with the RF echo signals thresholded to keep 5, 6 and 7 bits from the original 8-bit dynamic range, respectively. The EAC correction algorithm reduced maximal errors to −3.71 dB/mm3, −0.89 dB/mm3 and −0.26 dB/mm3 when signals were thresholded at 5, 6 and 7 bits, respectively.
机译：选择合适的动态范围来从高频超声（HFU）系统中获取射频（RF）数据具有挑战性，因为聚焦和衰减效应会导致信号幅度发生很大变化。另外，饱和数据会改变定量超声（QUS）结果。在这项研究中，使用模拟和实验RF数据量化了饱和度对QUS估计的有效散射体直径（ESD）和有效声波浓度（EAC）的影响。使用具有26 MHz中心频率的单元素换能器从69个解剖的人淋巴结中获取实验数据。通过对原始不饱和RF回波信号进行阈值处理来产生人为饱和信号（xc）。饱和严重性使用称为饱和SNR（SSNR）的数量表示。结果表明饱和度对ESD估计影响很小。但是，EAC估计随着SSNR的降低而显着降低。提出了一种EAC校正算法，该算法利用了SSNR值范围内的EAC值与xc的l 1 -范数（即，真实RF回波信号的绝对值之和）之间的线性关系。饱和导致的EAC估计的最大误差为−8.05 dB / mm 3 ，− 3.59 dB / mm 3 和−0.93 dB / mm 3 将RF回波信号阈值化以分别保持原始8位动态范围的5、6和7位。 EAC校正算法在以下情况下将最大误差降低到−3.71 dB / mm 3 ，− 0.89 dB / mm 3 和-0.26 dB / mm 3 信号的阈值分别为5、6和7位。

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