Subjects -> PHYSICS (Total: 857 journals)
    - ELECTRICITY AND MAGNETISM (10 journals)
    - MECHANICS (22 journals)
    - NUCLEAR PHYSICS (53 journals)
    - OPTICS (92 journals)
    - PHYSICS (625 journals)
    - SOUND (25 journals)
    - THERMODYNAMICS (30 journals)

ELECTRICITY AND MAGNETISM (10 journals)

Showing 1 - 10 of 10 Journals sorted alphabetically
Advanced Electromagnetics     Open Access   (Followers: 15)
IEEE Electromagnetic Compatibility Magazine     Full-text available via subscription   (Followers: 14)
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology     Hybrid Journal   (Followers: 1)
IEEE Letters on Electromagnetic Compatibility Practice and Applications     Hybrid Journal   (Followers: 1)
IEEE Transactions on Electromagnetic Compatibility     Hybrid Journal   (Followers: 30)
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control     Hybrid Journal   (Followers: 8)
International Journal of Bioelectromagnetism     Open Access  
International Journal of Electromagnetics and Applications     Open Access   (Followers: 3)
Journal of Electroceramics     Hybrid Journal  
Magnetochemistry     Open Access  
Similar Journals
Journal Cover
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
Journal Prestige (SJR): 1.183
Citation Impact (citeScore): 3
Number of Followers: 8  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0885-3010
Published by IEEE Homepage  [228 journals]
  • IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
           Publication Information

    • Free pre-print version: Loading...

      Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • Current Advances in Computational Lung Ultrasound Imaging: A Review

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      Authors: Tianqi Yang;Oktay Karakuş;Nantheera Anantrasirichai;Alin Achim;
      Pages: 2 - 15
      Abstract: In the field of biomedical imaging, ultrasonography has become common practice, and used as an important auxiliary diagnostic tool with unique advantages, such as being non-ionizing and often portable. This article reviews the state-of-the-art in medical ultrasound (US) image processing and in particular its applications in the examination of the lungs. First, we briefly introduce the basis of lung US (LUS) examination. We focus on (i) the characteristics of lung ultrasonography and (ii) its ability to detect a variety of diseases through the identification of various artifacts exhibiting on LUS images. We group medical US image computing methods into two categories: 1) model-based methods and 2) data-driven methods. We particularly discuss inverse problem-based methods exploited in US image despeckling, deconvolution, and line artifacts detection for the former, while we exemplify various works based on deep/machine learning (ML), which exploit various network architectures through supervised, weakly supervised, and unsupervised learning for the data-driven approaches.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • Multiperspective Photoacoustic Imaging Using Spatially Diverse CMUTs

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      Authors: Amir Gholampour;Jan-Willem Muller;Camilo Cano;Marc R. H. M. van Sambeek;Richard Lopata;Hans-Martin Schwab;Min Wu;
      Pages: 16 - 24
      Abstract: Photoacoustic imaging (PAI) is a promising technique to assess different constituents in tissue. In PAI, the propagating waves are low-amplitude, isotropic, and broadband. A common approach in PAI is the use of a single linear or curved piezoelectric transducer array to perform both PA and ultrasound imaging. These systems provide freedom, agility, and versatility for performing imaging, but have limited field of view (FOV) and directivity that degrade the final image quality. Capacitive micromachined ultrasonic transducers (CMUTs) have a great potential to be used for PAI since they provide larger bandwidth and better cost efficiency. In this study, to improve the FOV, resolution, and contrast, we propose a multiperspective PAI (MP-PAI) approach using multiple CMUTs on a flexible array with shared channels. The designed array was used to perform MP-PAI in an in vitro experiment using a plaque mimicking phantom where the images were compounded both incoherently and coherently. The MP-PAI approach showed a significant improvement in overall image quality. Using only three CMUTs led to about 20% increase in generalized-contrast-to-noise ratio (gCNR), 2-dB improvement in peak signal-to-noise ratio (PSNR), and double the structural coverage in comparison to a single CMUT setup. In numerical studies, the MP-PAI was thoroughly evaluated for both the coherent and incoherent compounding methods. The assessments showed that the image quality further improved for increased number of transducers and angular coverage. For 15 transducers, the improvement for resolution and contrast could be up to three times the amount in a single-perspective image. Nonetheless, the most prominent improvement of MP-PAI was its ability to resolve the structural information of the phantoms.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • Ultrafast Ultrasound Localization Microscopy by Conditional Generative
           Adversarial Network

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      Authors: Wenting Gu;Boyi Li;Jianwen Luo;Zhuangzhi Yan;Dean Ta;Xin Liu;
      Pages: 25 - 40
      Abstract: Ultrasound localization microscopy (ULM) overcomes the acoustic diffraction limit and enables the visualization of microvasculature at subwavelength resolution. However, challenges remain in ultrafast ULM implementation, where short data acquisition time, efficient data processing speed, and high imaging resolution need to be considered simultaneously. Recently, deep learning (DL)-based methods have exhibited potential in speeding up ULM imaging. Nevertheless, a certain number of ultrasound (US) data ( ${L}$ frames) are still required to accumulate enough localized microbubble (MB) events, leading to an acquisition time within a time span of tens of seconds. To further speed up ULM imaging, in this article, we present a new DL-based method, termed as ULM-GAN. By using a modified conditional generative adversarial network (cGAN) framework, ULM-GAN is able to reconstruct a superresolution image directly from a temporal mean low-resolution (LR) image generated by averaging ${l}$ -frame raw US images with ${l}$ being significantly smaller than ${L}$ . To evaluate the performance of ULM-GAN, a series of numerical simulations and phantom experiments are both implemented. The results of the numerical simulations demonstrate that when performing ULM imaging, ULM-GAN allows $sim 40$ -fold reduction in data acquisition time and $sim 61$ -fold reduction in computational time compared with the conventional Gaussian fitting method, without compromising spatial resolution according to the resolution scaled error (RSE). For the phantom experiments, ULM--AN offers an implementation of ULM with ultrafast data acquisition time ( $sim 0.33$ s) and ultrafast data processing speed ( $sim 0.60$ s) that makes it promising to observe rapid biological activities in vivo.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • High Frame Rate Ultrasound Imaging by Means of Tensor Completion:
           Application to Echocardiography

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      Authors: Sajjad Afrakhteh;Giovanni Iacca;Libertario Demi;
      Pages: 41 - 51
      Abstract: High frame rate ultrasound (US) imaging enables the monitoring of fast-moving organs. In echocardiography, this is especially needed due to the existence of rapidly moving structures, such as the heart valves. In the last two decades, various methods have been proposed to improve the frame rate. Here, we propose a novel method, based on binary coding patterns (BCPs) and tensor completion (TC), to increase the temporal resolution (i.e., frame rate) in the preprocessing stage of conventional focused ultrasound imaging (CFUI). The rationale behind our proposal is to perform, at first, the beamforming of a fraction of the scan lines, randomly selected in each frame based on BCP. Then, we reconstruct the missing scan lines through TC. The latter is an effective technique for recovering missing information from a low-rank tensor, based on a small number of observations using rank minimization. Following our approach, reducing the transmissions events needed to generate an image, the frame rate is increased by the same proportion. We have applied the proposed technique to a pre-beamformed radio frequency (RF) echocardiographic dataset. Our results show that we can improve the frame rate by a factor from 3 to 4, while keeping the structural similarity (SSIM) of the reconstructed tensor and the original one at values higher than 0.98.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • Comparison of Spatial Encodings for Ultrasound Imaging

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      Authors: Nick Bottenus;Jacob Spainhour;Stephen Becker;
      Pages: 52 - 63
      Abstract: Ultrasound pulse sequencing and receive signal focusing work hand-in-hand to determine image quality. These are commonly linked by geometry, for example, using focused beams or plane waves in transmission paired with appropriate time-of-flight calculations for focusing. Spatial encoding allows a broader class of array transmissions but requires decoding of the recorded echoes before geometric focusing can be applied. Recent work has expanded spatial encoding to include not only element apodizations, but also element time delays. This powerful technique allows for a unified beamforming strategy across different pulse sequences and increased flexibility in array signal processing giving access to estimates of individual transmit element signals, but tradeoffs in image quality between these encodings have not been previously studied. We evaluate in simulation several commonly used time delay and amplitude encodings and investigate the optimization of the parameter space for each. Using the signal-to-noise ratio (SNR), point resolution, and lesion detectability, we found tradeoffs between focused beams, plane waves, and Hadamard weight encodings. Beams with broader geometries maintained a wider field of view after decoding at the cost of the SNR and lesion detectability. Focused beams and plane waves showed slightly reduced resolution compared to Hadamard weights in some cases, especially close to the array. We also found overall degraded image quality using random weight or random delay encodings. We validate these findings with experimental phantom imaging for select cases. We believe that these findings provide a starting point for sequence optimization and improved image quality using the spatial encoding approach for imaging.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • Design, Modeling and Fabrication of a Novel Class V Flextensional
           Transducer: The Sea-Shell

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      Authors: Mustafa Yunus Kaya;Sedat Alkoy;
      Pages: 64 - 71
      Abstract: In this study, a novel class V flextensional transducer (FT) was developed by assembling symmetrically convex ceramic and metal caps to form a seashell-like structure. The transducer was designed and analyzed using ATILA finite element analysis (FEA) software. The diameter, thickness, and radius of curvature of the ceramic and metal shells have been investigated as design parameters. The transducer was found to display four distinct flextensional modes in addition to the main radial resonance mode between 1 and 200 kHz frequency range. Prototypical devices were fabricated from four different commercial lead zirconate titanate (PZT) compositions and underwater performances were compared. Transmitting voltage responses (TVRs) were observed to range between 120 and 135 dB (ref $1 ~mu $ Pa/V) at frequencies above 50 kHz.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
  • Fatigue State Characterization of Steel Pipes Using Ultrasonic Shear Waves

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      Authors: Georgios Sarris;Stewart G. Haslinger;Peter Huthwaite;Michael J. S. Lowe;
      Pages: 72 - 80
      Abstract: The phenomenon of the reduction in the propagation speed of an ultrasonic wave when it travels through a fatigue zone has been well-studied in the literature. In addition, it has been established that shear waves are more severely affected by the presence of such a zone, compared with longitudinal waves. Our study uses these phenomena to develop a method able to characterize the fatigue state of steel pipes. Initially, the existing theory regarding the increased sensitivity of shear waves to the presence of fatigue is validated through measuring and comparing the change in propagation speed of both longitudinal and bulk shear waves on flat geometries, at different fatigue states. The comparison is achieved with the aid of ultrasonic speed C-scans of both longitudinal and shear waves, with the latter now being obtainable through our implementation of advances in electromagnetic acoustic transducers (EMATs) technology. EMATs have not been traditionally used for producing C-scans, and their ability do to so with adequate repeatability is demonstrated here; we show that shear wave scanning with EMATs now provides a possibility for inspection of fatigue damage on the inner surface of pressure-containing components in the nuclear power industry. We find that the change in ultrasonic wave speed is amplified when shear waves are used, with the magnitude of this amplification agreeing well with the theory. Following the verification of the theory, the use of EMATs allowed us to tailor the shear wave scanning method to pipe geometries, where C-scans with conventional piezoelectric transducers would not have been possible, with the results successfully revealing the presence of fatigue zones.
      PubDate: Jan. 2023
      Issue No: Vol. 70, No. 1 (2023)
       
 
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