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采用超声导波特征参量的骨质疏松识别方法
引用本文:宋小军,他得安,Petro Moilanen.采用超声导波特征参量的骨质疏松识别方法[J].声学学报,2017,42(5):571-576.
作者姓名:宋小军  他得安  Petro Moilanen
作者单位:1. 上海电力学院 电子科学与技术系 上海 201300;
基金项目:国家自然科学基金项目(11404207,11327405,11525416)、上海市自然科学基金项目(14ZR1417500)和上海高校青年教师培养计划(A-0029-15-138)资助
摘    要:骨质的定期检测对骨质疏松的防治至关重要。本文研究了骨质疏松对超声导波在人体长骨中传播的影响。提出采用多尺度小波变换方法对接收到的导波信号进行处理,通过分析在不同传播距离下高阶小波细节分量所占信号总能量的变化,来判断是否患有骨质疏松症。在13位志愿者的小腿胫骨上进行超声测量,得到导波信号。经多尺度小波变换方法的分析处理结果显示在13位志愿者中,有7位志愿者的超声导波信号随着传播距离的改变,其主要频率成分发生了明显的变化,显示这7位志愿者患有骨质疏松症。这一诊断结果与X射线技术诊断结果相比,准确率可以达到92.3%,表明本文所提出的利用小波多尺度变换方法对长骨进行超声诊断具有较好的潜力。 

关 键 词:超声导波    小波变换    骨质疏松    长骨
收稿时间:2016-03-14

Identification of osteoporosis based on parameters of ultrasonic guided wave
Affiliation:1. Department of Electronic Science and Technology, Shanghai University of Electric Power Shanghai 201300;2. Department of Electronic Engineering, Fudan University Shanghai 200433;3. Shanghai Key Laboratory of Medical Image Processing and Computer Assisted Surgery, Fudan University Shanghai 200433;4. Department of Physics, Jyvaskyla University Jyvaskyla, 40014, Finland
Abstract:Evaluating bone regularly is important to prevent and control the disease of osteoporosis. Impact of osteoporosis on ultrasonic guided waves propagating in human long bones is studied in this paper. Multi-scale wavelet transform is proposed to process the received guided waves, and by analyzing energy changes in detail components of high order wavelet at different propagating distance to assess if osteoporosis happened. The guided waves signals are collected from the tibia of 13 volunteers. Based on the analysis of multi-scale wavelet transform, the main frequency of 7 volunteers changed dramatically with the propagation of ultrasonic guided wave along long bones, which means these 7 volunteers are diagnosed with osteoporosis. Compared with X-ray diagnosis, the accuracy of this method can reach 92.3%. This suggests the multi-scale wavelet transform method is potential in ultrasonic assessment of bone quality. 
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