中国物理B ›› 2022, Vol. 31 ›› Issue (7): 74301-074301.doi: 10.1088/1674-1056/ac3eca

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Nonlinear inversion of ultrasonic guided waves for in vivo evaluation of cortical bone properties

Xiaojun Song(宋小军)1,2, Tiandi Fan(樊天地)2, Jundong Zeng(曾俊冬)2, Qin-Zhen Shi(石勤振)1, Qiong Huang(黄琼)2, Meilin Gu(顾美琳)1, Petro Moilanen3, Yi-Fang Li(李义方)4,†, and Dean Ta(他得安)1,4,‡   

  1. 1 Center for Biomedical Engineering, Fudan University, Shanghai 200433, China;
    2 College of Electronics and Information engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    3 Department of Physics, University of Helsinki, Helsinki, Finland;
    4 Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
  • 收稿日期:2021-10-27 修回日期:2021-11-30 接受日期:2021-12-01 出版日期:2022-06-09 发布日期:2022-06-18
  • 通讯作者: Yi-Fang Li, Dean Ta E-mail:yifangli18@fudan.edu.cn;tda@fudan.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 12034005), in part by the Program of Shanghai Academic Research Leader (Grant No. 19XD1400500), and in part by the China Postdoctoral Science Foundation (Grant No. 2019M661334).

Nonlinear inversion of ultrasonic guided waves for in vivo evaluation of cortical bone properties

Xiaojun Song(宋小军)1,2, Tiandi Fan(樊天地)2, Jundong Zeng(曾俊冬)2, Qin-Zhen Shi(石勤振)1, Qiong Huang(黄琼)2, Meilin Gu(顾美琳)1, Petro Moilanen3, Yi-Fang Li(李义方)4,†, and Dean Ta(他得安)1,4,‡   

  1. 1 Center for Biomedical Engineering, Fudan University, Shanghai 200433, China;
    2 College of Electronics and Information engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    3 Department of Physics, University of Helsinki, Helsinki, Finland;
    4 Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
  • Received:2021-10-27 Revised:2021-11-30 Accepted:2021-12-01 Online:2022-06-09 Published:2022-06-18
  • Contact: Yi-Fang Li, Dean Ta E-mail:yifangli18@fudan.edu.cn;tda@fudan.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 12034005), in part by the Program of Shanghai Academic Research Leader (Grant No. 19XD1400500), and in part by the China Postdoctoral Science Foundation (Grant No. 2019M661334).

摘要: Ultrasonic guided waves (UGWs), which propagate throughout the entire thickness of cortical bone, are attractive for the early diagnosis of osteoporosis. However, this is challenging due to the impact of soft tissue and the inherent difficulties related to multiparametric inversion of cortical bone quality factors, such as cortical thickness and bulk wave velocity. Therefore, in this research, a UGW-based multi-parameter inversion algorithm is developed to predict strength-related factors. In simulation, a free plate (cortical bone) and a bilayer plate (soft tissue and cortical bone) are used to validate the proposed method. The inversed cortical thickness (CTh), longitudinal velocity (VL) and transverse velocity (VT) are in accordance with the true values. Then four bovine cortical bone plates were used in in vitro experiments. Compared with the reference values, the relative errors for cortical thickness were 3.96%, 0.83%, 2.87%, and 4.25%, respectively. In the in vivo measurements, UGWs are collected from the tibias of 10 volunteers. The theoretical dispersion curves depicted by the estimated parameters (VT, VL, CTh) match well with the extracted experimental ones. In comparison with dual-energy x-ray absorptiometry, our results show that the estimated transverse velocity and cortical thickness are highly sensitive to osteoporosis. Therefore, these two parameters (CTh and VT) of long bones have potential to be used for diagnosis of bone status in clinical applications.

关键词: ultrasonic guided waves, inversion algorithm, transverse velocity, bone evaluation

Abstract: Ultrasonic guided waves (UGWs), which propagate throughout the entire thickness of cortical bone, are attractive for the early diagnosis of osteoporosis. However, this is challenging due to the impact of soft tissue and the inherent difficulties related to multiparametric inversion of cortical bone quality factors, such as cortical thickness and bulk wave velocity. Therefore, in this research, a UGW-based multi-parameter inversion algorithm is developed to predict strength-related factors. In simulation, a free plate (cortical bone) and a bilayer plate (soft tissue and cortical bone) are used to validate the proposed method. The inversed cortical thickness (CTh), longitudinal velocity (VL) and transverse velocity (VT) are in accordance with the true values. Then four bovine cortical bone plates were used in in vitro experiments. Compared with the reference values, the relative errors for cortical thickness were 3.96%, 0.83%, 2.87%, and 4.25%, respectively. In the in vivo measurements, UGWs are collected from the tibias of 10 volunteers. The theoretical dispersion curves depicted by the estimated parameters (VT, VL, CTh) match well with the extracted experimental ones. In comparison with dual-energy x-ray absorptiometry, our results show that the estimated transverse velocity and cortical thickness are highly sensitive to osteoporosis. Therefore, these two parameters (CTh and VT) of long bones have potential to be used for diagnosis of bone status in clinical applications.

Key words: ultrasonic guided waves, inversion algorithm, transverse velocity, bone evaluation

中图分类号:  (Parameters of nonlinearity of the medium)

  • 43.25.Ba
43.60.Ek (Acoustic signal coding, morphology, and transformation) 43.80.Ev (Acoustical measurement methods in biological systems and media) 62.20.me (Fatigue)