Enhancing ultrasonic time-of-flight diffraction measurement through an adaptive deconvolution method

Chen, Jian; Wu, Eryong; Wu, Haiteng; Zhou, Hongming; Yang, Kun

doi:10.1016/j.ultras.2019.01.009

Cited by 19 publications

(3 citation statements)

References 15 publications

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“…Li et al [9] proposed a sparse deconvolution method, which effectively separates the interface and defect echoes in the ultrasonic defect detection signals of galvanized sheet. Chen et al [10] proposed an adaptive deconvolution method to separate the merged waves and screen out small and shallow defects. Unfortunately, the results of these deconvolution methods require prior knowledge of the interface reflectivity inside the propagating medium, and information about multiple reflection path, and the results are sensitive to noise.…”

Section: Introductionmentioning

confidence: 99%

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Li,

Chen,

Zhang

et al. 2023

Meas. Sci. Technol.

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The ultrasonic Pulse-Echo method plays a significant role in ultrasonic thickness measurement. However, when the measured thickness is relatively thin, it is universal for the reflected ultrasonic echoes to overlap in the time domain which constrains the achievable resolution using the conventional Pulse-Echo method. A deep learning network for multi-echo overlapping ultrasonic signals separation under the constraint of an ultrasonic transducer with specific center frequency and bandwidth was proposed to enhance the axial resolution. With this model, the adaptive separation of overlapping signals with an unknown number of echoes is achieved by extracting detailed features of the overlapping signals. An overlapping signal training dataset based on truncated Nakagami functions is constructed to train the network. Simulation experiments under different degrees of overlap and noise levels were conducted for the performance analysis. Simulation results manifested the performance advantage of proposed separation method over some traditional separation methods. Further, ultrasonic thickness measurement experiments were performed on thin-walled aluminum alloy plates with various thicknesses, demonstrating feasibility and practicability of the network over traditional separation methods.

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Section: Introductionmentioning

confidence: 99%

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Li,

Chen,

Zhang

et al. 2023

Meas. Sci. Technol.

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“…Attempts to improve the axial resolution usually lead to the use of deconvolution [8], or spatiotemporal 2-D Wiener filters, applied to the beamformed radio-frequency (RF) data. The RF data is assumed to be the output of a linear shift-invariant system.…”

Section: Introductionmentioning

confidence: 99%

Improved ultrasound image quality with pixel-based beamforming using a Wiener-filter and a SNR-dependent coherence factor

et al. 2022

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“…Many other methods for improving the spatial resolution in signal post-processing have also been proposed. For example, pulse compression, 8,9) frequency-domain processing, 10,11) deconvolution techniques, [12][13][14][15][16][17] and inversed filtering. [18][19][20][21][22][23][24][25] In our previous study, 26) Kageyama et al designed a Wiener filter 27) by estimating the signal-to-noise ratio (SNR) from the received RF signals in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

Improving axial resolution of medical ultrasound images by using noise-robust broadband filter based on singular value decomposition

Kawamata

Mori

Arakawa

et al. 2022

Jpn. J. Appl. Phys.

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Improving spatial resolution is a crucial issue in medical ultrasound. One of the improving methods is the post-processing of the received ultrasound RF signal. In the present paper, we propose a design method for a noise-robust broadband filter based on the singular value decomposition of the received RF signal. To design a noise-robust filter, we propose a logical method to determine the optimal truncated order of singular values, which was validated by applying the filter to noise-contaminated signals. Furthermore, the proposed filter applied to the wire phantom resulted in a better axial resolution than that obtained without the filter and with our previously designed Wiener filter.

show abstract

Enhancing ultrasonic time-of-flight diffraction measurement through an adaptive deconvolution method

Cited by 19 publications

References 15 publications

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Improved ultrasound image quality with pixel-based beamforming using a Wiener-filter and a SNR-dependent coherence factor

Improving axial resolution of medical ultrasound images by using noise-robust broadband filter based on singular value decomposition

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