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首页> 外文会议>IEEE International Ultrasonics Symposium >Correction of Nakagami shape parameter estimated from saturated high-frequency ultrasound signals acquired from cancerous human lymph nodes
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Correction of Nakagami shape parameter estimated from saturated high-frequency ultrasound signals acquired from cancerous human lymph nodes

机译：根据从癌性人类淋巴结获取的饱和高频超声信号估算的Nakagami形状参数的校正

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Choosing an appropriate dynamic range for acquiring radio-frequency (RF) data from a high-frequency ultrasound (HFU) system is challenging because the RF data amplitude typically covers several orders of magnitude between the sample surface and the deepest imaged regions. In addition, the saturated signal may decrease the accuracy of QUS methods because quantitative ultrasound (QUS) methods are sensitive to saturated data. In this study, the effects of saturation on QUS estimates of Nakagami shape parameter (Nakagami parameter) were quantified by analyzing data acquired from 20 dissected human lymph nodes with a single-element transducer operating at a center frequency of 26 MHz. Artificially saturated signals (xsat) were produced by applying artificial saturation methods to the original unsaturated signals (xori). Saturation degree was quantified using an index termed Saturate-SNR (SSNR). Nakagami parameters were estimated from xsat over a wide range of SSNR values. Nakagami parameters of saturated signals were increased (0.18 when the signal decremented 2 bit) significantly with decreasing SSNR. Nakagami parameters were corrected by pretreatment that applied a smoothing spline to the saturated signal. The smoothing spline restoration method is tuned P parameter. The best correction occurred when P was 1 (i.e., cubic spline interpolation). The maximum Nakagami parameter error in the corrected with 6-bit signal was 0.10, which is less than the average difference of 0.12 that existed between non-metastatic and metastatic lymph nodes.
机译：选择合适的动态范围从高频超声（HFU）系统获取射频（RF）数据具有挑战性，因为RF数据幅度通常会覆盖样品表面和最深成像区域之间的几个数量级。此外，饱和信号可能会降低QUS方法的准确性，因为定量超声（QUS）方法对饱和数据敏感。在这项研究中，饱和度对Nakagami形状参数（Nakagami参数）的QUS估计值的影响是通过使用中心频率为26 MHz的单元素换能器分析从20个解剖的人淋巴结采集的数据来量化的。通过对原始不饱和信号（xori）应用人工饱和方法来产生人工饱和信号（xsat）。饱和度使用称为饱和信噪比（SSNR）的指标进行量化。 Nakagami参数是在广泛的SSNR值范围内根据xsat估算的。随着SSNR的降低，饱和信号的Nakagami参数显着增加（当信号减小2位时为0.18）。通过对饱和信号应用平滑样条的预处理，可以对Nakagami参数进行校正。平滑样条恢复方法是调整P参数。当P为1时（即三次样条插值），校正效果最佳。用6位信号校正后的最大Nakagami参数误差为0.10，小于非转移性和转移性淋巴结之间的平均差0.12。

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