采用超声导波特征参量的骨质疏松识别方法

Identification of osteoporosis based on parameters of ultrasonic guided wave

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。

Evaluating bone regularly is important to prevent and control the disease of osteoporosis. Impact of os- teoporosis 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.