Showing papers in "Ultrasonics in 2022"

TL;DR: In this paper , a hierarchical Kalman (HK) tracker was proposed to achieve better performance at scenarios with high concentrations of microbubbles and high localization uncertainty in ultrasound super-resolution imaging (SRI).

TL;DR: In this article , a damage detection method based on CNN-LSTM network is proposed for laser ultrasonic guided wave scanning detection, which can detect each scanning point signal without relying on the surrounding detection points signals.

TL;DR: In this article, the authors performed a systematic review on the MR relaxation properties of different phantoms types and found that agar was the prominent modifier of the T2 relaxation time even for phants containing other types of gelling agents instead of agar.

TL;DR: In this paper , a multi-task network based on the Y-Net architecture was proposed for joint classification and segmentation of breast masses based on radiofrequency (RF) ultrasound (US) data.

TL;DR: In this paper, an improved technique for sensing damage initiation and progression in thermoplastic resin composite plate specimens is presented, which uses a nonlinear ultrasonic (NLU) technique called S ideband P eak C ount I ndex or SPC-I.

TL;DR: In this article , the authors performed a systematic review on the MR relaxation properties of different phantoms types and found that agar was the prominent modifier of the T2 relaxation time even for phants containing other types of gelling agents instead of agar.

TL;DR: In this paper , an improved SPC-I technique was proposed to detect damage initiation and progression in thermoplastic resin composite plate specimens using a nonlinear ultrasonic (NLU) technique called Sideband Peak Count Index.

TL;DR: In this paper , the authors proposed a deep learning inversion with supervision (DLIS) method for corrosion mapping in guided wave tomography, which can reduce the scale of training set effectively compared with other deep learning algorithms in experiment.

TL;DR: In this paper, the authors developed a multi-objective optimization technique for the joint optimization of actuator and sensor placement for a network with Fibre Bragg grating (FBG) sensors.

TL;DR: In this paper , the authors developed a multi-objective optimization technique for the joint optimization of actuator and sensor placement for a network with Fibre Bragg grating (FBG) sensors.

TL;DR: In this article , the authors characterized the dependence of the aberrations on specific anatomical segments of the skull and found that the parietal bone provides substantially higher transmission (average pressure transmission 31 ± 7%) and smaller phase distortion (242 ± 44 degrees) than frontal (13 ± 2, 425 ± 47 degrees) and occipital bone regions (16 ± 4, 416 ± 35 degrees).

TL;DR: In this article , the authors discuss recent advances in vascular ultrasound imaging technology, including three-dimensional ultrasound (3DUS), contrastenhanced ultrasound (CEUS), strain- (SE) and shear-wave-elastography (SWE).

TL;DR: In this paper, the authors characterized the dependence of the aberrations on specific anatomical segments of the skull and found that the parietal bone provides substantially higher transmission (average pressure transmission 31 ± 7%) and smaller phase distortion (242 ± 44 degrees) than frontal (13 ± 2, 425 ± 47 degrees) and occipital bone regions (16 ± 4, 416 ± 35 degrees).

TL;DR: In this paper , the authors evaluated multiple state-of-the-art deep learning anomaly detection methods on the ultrasonic non-destructive testing dataset and achieved an average performance of almost 82% of ROC AUC.

TL;DR: In this article, the authors discuss recent advances in vascular ultrasound imaging technology, including three-dimensional ultrasound (3DUS), contrastenhanced ultrasound (CEUS), strain- (SE) and shear-wave-elastography (SWE).

TL;DR: In this article , the Rayleigh wave scattered by a surface or a sub-surface micro-crack is scrutinized analytically, and the second harmonic triggered by the clapping and rubbing behaviors of the micro crack is investigated, based on the elastodynamic reciprocity theorem.

TL;DR: In this article, the Rayleigh wave scattered by a surface or a sub-surface micro-crack is scrutinized analytically, and the second harmonic triggered by the clapping and rubbing behaviors of the micro crack is investigated, based on the elastodynamic reciprocity theorem.

TL;DR: In this paper , a modified virtual time-reversal (VTR) algorithm for baseline signal-free damage detection in plate-like structures is proposed, where the physical actuation and sensing of Lamb waves are performed using a broadband Gaussian excitation instead of the conventional narrowband modulated tone burst excitations.

TL;DR: In this article , a 3D finite element (FE) model with full coupling among a piezoelectric coupled stator, rotor, friction layer, and the rigid-elastic contact interface of the stator and friction layer is established.

TL;DR: In this article , a cycle generative adversarial network (CycleGAN) is used to synthesize US images from CT data and construct a transition dataset to mitigate the immense domain discrepancy between US and CT.

TL;DR: In this article, a multiple-damage-scattered wavefield model is developed, with which the signal representation equation is constructed in the frequency domain, avoiding computationally expensive pixel-based calculation.

TL;DR: In this article , the authors present a review of machine learning techniques in combination with ultrasonic measurements for in-line and on-line monitoring of industrial processes and other similar applications. But, their implementation requires expertise to extract and select appropriate features from the sensor measurements as model inputs, and find a suitable set of model hyperparameters.

TL;DR: In this article , a series of parametric case studies are carried out using the three-dimensional finite element (FE) method to investigate the effects of the excitation frequencies and time delay of the incident waves in wave mixing on the transient response of a weakly-nonlinear material.

TL;DR: In this paper , a multiple-damage-scattered wavefield model is developed, with which the signal representation equation is constructed in the frequency domain, avoiding computationally expensive pixel-based calculation.

TL;DR: In this paper, the authors proposed the use of Generative Adversarial Networks for generating realistic ultrasonic images, which is the first one to show that a GAN is able to generate images indistinguishable from real ultrasonic image.

TL;DR: Wang et al. as discussed by the authors proposed a broadband Lamb wave deep learning algorithm for damage localization and quantification, which can extract damage features from different perspectives, and fusion of all extraction results facilitates the full utilization of rich broadband information.

TL;DR: An innovative technique to substantially enhance the resulting WDIC database by using deep neural networks (DNNs) enable smart interpolations and allow not only predicting WDICs for previously unseen damages at low computational costs but also the discovery of knowledge about the complex relationship between damage features and WDIC patterns.

TL;DR: In this paper , a two-dimensional incipient damage localization method is proposed based on the newly discovered wave phenomenon, where damage-induced nonlinear wave scattering features are first investigated.

TL;DR: In this paper, the authors examined a method for detecting subsurface defects using ultrasonic waves excited by a laser and found that the acquisition condition depends on the local defect resonant (LDR) frequency in the defective part.

TL;DR: In this paper , a non-perforated resonant elastic metamaterial was proposed to achieve the complete conversion of Lamb waves (A0 and S0) into the fundamental shear horizontal (SH0) wave.