采用超声导波特征参量的骨质疏松识别方法

发布时间：2018-04-06 22:00

本文选题：超声导波　切入点：骨质疏松　出处：《声学学报》2017年05期

【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。
[Abstract]:Regular detection of bone is essential for the prevention and treatment of osteoporosis.The effect of osteoporosis on ultrasonic guided wave propagation in human bone was studied.A multiscale wavelet transform method is proposed to process the received guided wave signals. By analyzing the changes of the total energy of the signals occupied by the detail components of higher order wavelets at different propagation distances, we can determine whether or not we are suffering from osteoporosis.Ultrasonic measurements were performed on the shin tibia of 13 volunteers and guided wave signals were obtained.The results of multi-scale wavelet transform analysis show that the main frequency components of ultrasonic guided wave signal of 7 volunteers have changed obviously with the change of propagation distance in 13 volunteers.The seven volunteers were shown to have osteoporosis.Compared with the diagnostic results of X-ray technique, the accuracy rate of this diagnosis can reach 92.3%, which indicates that the wavelet multi-scale transform method proposed in this paper has a good potential for ultrasonic diagnosis of long bones.
【作者单位】：上海电力学院电子科学与技术系;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;Jyvaskyla大学物理系;
【基金】：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) 上海高校青年教师培养计划(A-0029-15-138)资助
【分类号】：R580;TB559

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