Song Shuang, Zhang Yinghua, Zhou Zhuhuang, Wu Shuicai
Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, P.R.China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, P.R.China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Jun 25;38(3):520-527. doi: 10.7507/1001-5515.202003032.
The feasibility of ultrasound backscatter homodyned K model parametric imaging (termed homodyned K imaging) to monitor coagulation zone during microwave ablation was investigated. Two recent estimators for the homodyned K model parameter, RSK (the estimation method based on the signal-to-noise ratio, the skewness, and the kurtosis of the amplitude envelope of ultrasound) and XU (the estimation method based on the first moment of the intensity of ultrasound, statistics and statistics), were compared. Firstly, the ultrasound backscattered signals during the microwave ablation of porcine liver were processed by the noise-assisted correlation algorithm, envelope detection, sliding window method, digital scan conversion and color mapping to obtain homodyned K imaging. Then 20 porcine livers' microwave ablation experiments were used to evaluate the effect of homodyned K imaging in monitoring the coagulation zone. The results showed that the area under the receiver operating characteristic curve of the RSK method was 0.77 ± 0.06 (mean ± standard deviation), and that of the XU method was 0.83 ± 0.08 (mean ± standard deviation). The accuracy to monitor the coagulation zone was (86 ± 10)% (mean ± standard deviation) by the RSK method and (90 ± 8)% (mean ± standard deviation) by the XU method. Compared with the RSK method, the Bland-Altman consistency for the coagulation zone estimated by the XU method and that of actual porcine liver tissue was higher. The time for parameter estimation and imaging by the XU method was less than that by the RSK method. We conclude that ultrasound backscatter homodyned K imaging can be used to monitor coagulation zones during microwave ablation, and the XU method is better than the RSK method.
研究了超声背向散射零差K模型参数成像（称为零差K成像）在微波消融过程中监测凝固区的可行性。比较了最近的两种零差K模型参数估计方法，RSK（基于超声幅度包络的信噪比、偏度和峰度的估计方法）和XU（基于超声强度一阶矩、统计量和统计量的估计方法）。首先，通过噪声辅助相关算法、包络检测、滑动窗口法、数字扫描转换和彩色映射对猪肝微波消融过程中的超声背向散射信号进行处理，以获得零差K成像。然后，通过20次猪肝微波消融实验评估零差K成像在监测凝固区方面的效果。结果显示，RSK方法的受试者工作特征曲线下面积为0.77±0.06（均值±标准差），XU方法的为0.83±0.08（均值±标准差）。RSK方法监测凝固区的准确率为（86±10）%（均值±标准差），XU方法为（90±8）%（均值±标准差）。与RSK方法相比，XU方法估计的凝固区与实际猪肝组织的Bland-Altman一致性更高。XU方法的参数估计和成像时间比RSK方法少。我们得出结论，超声背向散射零差K成像可用于微波消融过程中凝固区的监测，且XU方法优于RSK方法。
