松质骨超声背散射信号的谱信息熵判断方法

发布时间：2018-05-06 10:16

本文选题：散射信号 + 判断结果　；参考：《声学学报》2016年03期

【摘要】：在松质骨超声背散射评价的实际应用中,如何快速准确地判断接收到的信号中是否包含有效背散射信号是一个重要问题。提出一种基于谱信息熵的背散射信号判断方法。对在体采集的984例成人跟骨处临床数据,采用该方法判断背散射信号的有效性,将判断结果与经验判断结果进行对照分析,并分析该方法中的信号区间长度和谱信息熵分段数对判断结果的影响。结果表明,当信号区间长度为13μs,谱信息熵分段数为15~20时,该方法可以获得最佳的判断结果(准确度95%,灵敏度99%,特异度87%),并且计算时间极短(1.5 ms)。因此采用谱信息熵方法判断背散射信号的有效性,可以满足超声骨质评价中对准确性和实时性的要求。
[Abstract]:In the practical application of ultrasonic backscattering evaluation of cancellous bone, how to quickly and accurately judge whether the received signal contains the effective backscatter signal is an important problem. A method for judging backscattering signals based on spectral information entropy is proposed. The clinical data of 984 cases of adult calcaneus were collected in vivo. The method was used to judge the validity of backscatter signal. The results were compared with the results of empirical judgment. The influence of signal interval length and spectral entropy segment number on the result of the method is analyzed. The results show that when the signal interval length is 13 渭 s and the spectral entropy segment number is 15 ~ 20:00, the method can obtain the best results (accuracy 95, sensitivity 99th, specificity 87), and the calculation time is very short (1.5 Ms). Therefore, using spectral information entropy method to judge the validity of backscatter signal can meet the requirements of accuracy and real-time in ultrasonic bone evaluation.
【作者单位】：复旦大学电子工程系;复旦大学上海市医学图像处理与计算机辅助手术重点实验室;
【基金】：国家自然科学基金(11327405,11525416) 上海市科技支撑计划(13441901900) 教育部博士点基金(20130071110020)资助
【分类号】：R580;TN911.6

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