基于希氏变换的超声基频算法估计骨小梁间距
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Trabecular Bone Spacing Estimation Based on Hilbert Transform and Fundamental Frequency Estimation Method
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    超声背散射信号对松质骨的微观结构极其敏感。骨小梁间距(Trabecular bone spacing,TbSp)是用于表征松质骨微结构的一个重要参数。为了能从松质骨超声背散射信号中准确获得松质骨TbSp,本文提出了一种希尔伯特变换和基频估计法相结合的TbSp估计算法。将该算法应用于离体松质骨的超声背散射信号,获得相应的TbSp值,并与显微CT测得的TbSp进行比较。结果表明,HFE算法在信号频率较高时(5 MHz和10 MHz),估计结果更准确(误差<3%)且稳定(标准偏差<4%);TbSp较大时,估计结果更为准确;TbSp的估计值与标准值在不同频率下均有显著的相关性(r2=0.75~0.99, p<0.01, n=16)。HFE算法估计TbSp具有准确性和稳定性,可用来表征松质骨TbSp。

    Abstract:

    Ultrasonic backscatter signal is quite sensitive to the microstructure of cancellous bone. Trabecular bone spacing (TbSp) is an important parameter for characterizing bone microstructures. In order to acquire TbSp accurately from the ultrasonic backscatter signal of the cancellous bone, a TbSp estimation method is proposed using a combination of the Hilbert transform and fundamental frequency estimation (HFE) method. The HFE results from the cancellous bone in vitro are compared with the TbSp obtained from μ-CT. The HFE results are accurate (estimation error<3%) and stable (standard variation<4%) at higher frequencies (5 MHz and 10 MHz), and more accurate when standard TbSp is large, and have a high correlation (r2=0.75—0.99, p<0.01, n=16) with the standard TbSp at different frequencies. It shows that the HFE method is accurate and stable for TbSp estimation. The HFE method is vertified to characterize the cancellous bone TbSp.

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他得安 李颖 刘成成.基于希氏变换的超声基频算法估计骨小梁间距[J].数据采集与处理,2015,30(2):319-327

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  • 在线发布日期: 2015-04-23