Multichannel processing for dispersion curves extraction of ultrasonic axial-transmission signals: Comparisons and case studies

Xu, Kailiang; Ta, Dean; Cassereau, Didier; Hu, Bo; Wang, Weiqi; Laugier, Pascal; Minonzio, Jean‐Gabriel

doi:10.1121/1.4962491

Cited by 30 publications

(15 citation statements)

References 63 publications

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“…The problem is that, in the full waveform, distinguishing modes or their dispersion curves in recorded signals requires a specific acquisition scheme or signal processing. Recently, the determination of guided modes and the identification of cortical bone waveguide characteristics have sparked increased discussions of signal-processing approaches, (29)(30)(31)(32) modeling, (33)(34)(35) and inverse problem-solving. (28,(36)(37)(38) Our group has developed the bidirectional axial transmission technique (BDAT) to this goal.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound-Based Estimates of Cortical Bone Thickness and Porosity Are Associated With Nontraumatic Fractures in Postmenopausal Women: A Pilot Study

Minonzio

Bochud

Vallet

et al. 2019

Journal of Bone and Mineral Research

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Recent ultrasound (US) axial transmission techniques exploit the multimode waveguide response of long bones to yield estimates of cortical bone structure characteristics. This pilot cross‐sectional study aimed to evaluate the performance at the one‐third distal radius of a bidirectional axial transmission technique (BDAT) to discriminate between fractured and nonfractured postmenopausal women. Cortical thickness (Ct.Th) and porosity (Ct.Po) estimates were obtained for 201 postmenopausal women: 109 were nonfractured (62.6 ± 7.8 years), 92 with one or more nontraumatic fractures (68.8 ± 9.2 years), 17 with hip fractures (66.1 ± 10.3 years), 32 with vertebral fractures (72.4 ± 7.9 years), and 17 with wrist fractures (67.8 ± 9.6 years). The areal bone mineral density (aBMD) was obtained using DXA at the femur and spine. Femoral aBMD correlated weakly, but significantly with Ct.Th (R = 0.23, p < 0.001) and Ct.Po (R = ‐0.15, p < 0.05). Femoral aBMD and both US parameters were significantly different between the subgroup of all nontraumatic fractures combined and the control group (p < 0.05). The main findings were that (1) Ct.Po was discriminant for all nontraumatic fractures combined (OR = 1.39; area under the receiver operating characteristic curve [AUC] equal to 0.71), for vertebral (OR = 1.96; AUC = 0.84) and wrist fractures (OR = 1.80; AUC = 0.71), whereas Ct.Th was discriminant for hip fractures only (OR = 2.01; AUC = 0.72); there was a significant association (2) between increased Ct.Po and vertebral and wrist fractures when these fractures were not associated with any measured aBMD variables; (3) between increased Ct.Po and all nontraumatic fractures combined independently of aBMD neck; and (4) between decreased Ct.Th and hip fractures independently of aBMD femur. BDAT variables showed comparable performance to that of aBMD neck with all types of fractures (OR = 1.48; AUC = 0.72) and that of aBMD femur with hip fractures (OR = 2.21; AUC = 0.70). If these results are confirmed in prospective studies, cortical BDAT measurements may be considered useful for assessing fracture risk in postmenopausal women. © 2019 American Society for Bone and Mineral Research.

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Section: Introductionmentioning

confidence: 99%

Ultrasound-Based Estimates of Cortical Bone Thickness and Porosity Are Associated With Nontraumatic Fractures in Postmenopausal Women: A Pilot Study

Minonzio

Bochud

Vallet

et al. 2019

Journal of Bone and Mineral Research

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“…The larger the coefficients are, the more the signal energy is carried and vice versa. According to the theory of local maximum modulus of wavelet transform [5], when noise is removed, most of the noise can be removed as long as the coefficient energy formed by the local maximum modulus of wavelet transform of white noise is removed. On the basis of retaining most of the signal energy, the adaptive floating threshold is used to quantize the noise-damaged wavelet coefficients.…”

Section: Threshold Denoising and Data Dimensionality Reductionmentioning

confidence: 99%

Feature Extraction Method of Transmission Signal in Electronic Communication Network Based on Symmetric Algorithm

Song

2019

Symmetry

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Because the existing methods extract the signal characteristics of electronic communication networks, there is a problem of poor extraction. In this paper, a feature extraction method based on symmetric algorithm for transmission signals in electronic communication networks is proposed. The transmission signal in the time domain is decomposed by three-layer wavelet packet decomposition through threshold denoising and data dimension reduction. The adaptive floating threshold is used as a threshold to quantify the wavelet coefficients of the signal, which can effectively remove noise while retaining valuable transmission signal. Secondly, the feature extraction algorithm based on symmetric Holder coefficient is used to transform the transmitted signal from time domain to frequency domain, identify the signal sequence, and classify the signal sequence using neural network classifier. The simulation results show that the proposed method can extract the transmission signal of electronic communication network with the highest accuracy of 98.21%. This method can extract the amplitude and frequency characteristics of the transmission signal accurately under strong vibration environment. It is an efficient method for feature extraction of transmission signal.

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“…Techniques that can evaluate the quality of cortical long bone structures have recently attracted significant research attention [2,3,[5][6][7][8]. In this study, we have developed cortical long bone quality evaluation methods using the axial transmission (AT) technique [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Rapid High-Resolution Wavenumber Extraction from Ultrasonic Guided Waves Using Adaptive Array Signal Processing

et al. 2018

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Quantitative ultrasound techniques for assessment of bone quality have been attracting significant research attention. The axial transmission technique, which involves analysis of ultrasonic guided waves propagating along cortical bone, has been proposed for assessment of cortical bone quality. Because the frequency-dependent wavenumbers reflect the elastic parameters of the medium, high-resolution estimation of the wavenumbers is required at each frequency with low computational cost. We use an adaptive array signal processing method and propose a technique that can be used to estimate the numbers of propagation modes that exist at each frequency without the need for time-consuming calculations. An experimental study of 4-mm-thick copper and bone-mimicking plates showed that the proposed method estimated the wavenumbers accurately with estimation errors of less than 4% and a calculation time of less than 0.5 s when using a laptop computer.

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Multichannel processing for dispersion curves extraction of ultrasonic axial-transmission signals: Comparisons and case studies

Cited by 30 publications

References 63 publications

Ultrasound-Based Estimates of Cortical Bone Thickness and Porosity Are Associated With Nontraumatic Fractures in Postmenopausal Women: A Pilot Study

Ultrasound-Based Estimates of Cortical Bone Thickness and Porosity Are Associated With Nontraumatic Fractures in Postmenopausal Women: A Pilot Study

Feature Extraction Method of Transmission Signal in Electronic Communication Network Based on Symmetric Algorithm

Rapid High-Resolution Wavenumber Extraction from Ultrasonic Guided Waves Using Adaptive Array Signal Processing

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