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Ultrasonic Imaging and Sensors II
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Ultrasonic Imaging and Sensors II

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 10 August 2024 | Viewed by 4166

Special Issue Editors

Dr. Jorge Camacho

E-Mail Website
Guest Editor
Instituto de Tecnologías Físicas y de la Información (ITEFI), Spanish National Research Council (CSIC), 28006 Madrid, Spain
Interests: ultrasound imaging for medical and industrial applications; beamforming methods and hardware implementation; real-time ultrasound image processing
Special Issues, Collections and Topics in MDPI journals
Dr. Linas Svilainis

E-Mail Website
Guest Editor
Depertment of Electronics Engineering, Kaunas University of Technology, K. Donelaičio g. 73, 44249 Kaunas, Lithuania
Interests: ultrasound electronics; spread spectrum signals; time of flight estimation; signal processing
Special Issues, Collections and Topics in MDPI journals
Dr. Tomás Gómez Álvarez-Arenas

E-Mail Website
Guest Editor
Instituto de Tecnologías Físicas y de la Información (ITEFI), Spanish National Research Council (CSIC), 28006 Madrid, Spain
Interests: piezoelectric transducers; piezoelectric materials; composite materials; ultrasound propagation; materials characterization; inverse problem solution; complex optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In view of the good reception of the first Special Issue “Ultrasound Systems and Sensors”, with 13 high-quality manuscripts in different disciplines of the field, we are pleased to announce the launch of the second edition of this Special Issue.

Ultrasound imaging is one the most extended diagnostic techniques in medicine, and one of the most demanded tools for non-destructive evaluation in industry. Although it is a well-established technique, scientific and technical advances keep pushing the field beyond its frontiers, not only with regard to image quality and frame rate, but also with new applications and imaging modalities. It is, indeed, an amazing research field, which involves topics varying from materials science for transducers manufacturing and wave propagation physics to high-end analog and digital electronics and signal and image processing algorithms.

This Special Issue is open to new research and review papers in any of these fields, including but not limited to:

  • New materials for ultrasound transducers;
  • Transducer design for NDT and medical applications;
  • Physical acoustics;
  • Analog and digital ultrasound electronics;
  • New beamforming methods and imaging modalities;
  • New NDT and medical ultrasound applications;
  • Ultrasonic image processing and AI techniques.

We highly appreciate your contribution to this Special Issue, in which we hope to give a comprehensive overview of recent advances in all fields of ultrasonic imaging.

Dr. Jorge Camacho
Dr. Linas Svilainis
Dr. Tomás Gómez Álvarez-Arenas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ultrasound imaging
  • ultrasound beamforming
  • ultrasound transducers
  • ultrasound applications
  • ultrasound electronics
  • echograpy
  • non-destructive evaluation
  • artificial intelligence
  • image processing

Published Papers (3 papers)

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Research

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9 pages, 1040 KiB  
Communication
Assessment of the Performance of Ultrasonography for Detecting Myofascial Trigger Points
by Han-Yu Chen, Chang-Zern Hong and Yueh-Ling Hsieh
Sensors 2024, 24(3), 718; https://doi.org/10.3390/s24030718 - 23 Jan 2024
Viewed by 617
Abstract
Needle electromyogram (EMG) research has suggested that endplate noise (EPN) is a characteristic of myofascial trigger points (MTrPs). Although several studies have observed MTrPs through ultrasonography, whether they are hyperechoic or hypoechoic in ultrasound images is still controversial. Therefore, this study determined the [...] Read more.
Needle electromyogram (EMG) research has suggested that endplate noise (EPN) is a characteristic of myofascial trigger points (MTrPs). Although several studies have observed MTrPs through ultrasonography, whether they are hyperechoic or hypoechoic in ultrasound images is still controversial. Therefore, this study determined the echogenicity of MTrP ultrasonography. In stage 1, the MTrP of rat masseter muscle was identified through palpation and marked. Needle EMG was performed to detect the presence of EPN. When EPN was detected, ultrasound scans and indwelling needles were used to identify the nodule with a different grayscale relative to that of its surrounding tissue, and the echogenicity of the identified MTrP was determined. In stage 2, these steps were reversed. An ultrasound scan was performed to detect the nodule at the marked site, and an EMG needle was inserted into the nodule to detect EPN. There were 178 recordings in each stage, obtained from 45 rats. The stage 1 results indicate that the MTrPs in ultrasound images were hypoechoic with a 100% sensitivity of assessment. In stage 2, the accuracy and precision of MTrP detection through ultrasonography were 89.9% and 89.2%, respectively. The results indicate that ultrasonography produces highly accurate and precise MTrP detection results. Full article
(This article belongs to the Special Issue Ultrasonic Imaging and Sensors II)
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22 pages, 7596 KiB  
Article
Improvement in Multi-Angle Plane Wave Image Quality Using Minimum Variance Beamforming with Adaptive Signal Coherence
by Che-Chou Shen and Chun-Lin Huang
Sensors 2024, 24(1), 262; https://doi.org/10.3390/s24010262 - 02 Jan 2024
Viewed by 716
Abstract
For ultrasound multi-angle plane wave (PW) imaging, the coherent PW compounding (CPWC) method provides limited image quality because of its conventional delay-and-sum beamforming. The delay-multiply-and-sum (DMAS) method is a coherence-based algorithm that improves image quality by introducing signal coherence among either receiving channels [...] Read more.
For ultrasound multi-angle plane wave (PW) imaging, the coherent PW compounding (CPWC) method provides limited image quality because of its conventional delay-and-sum beamforming. The delay-multiply-and-sum (DMAS) method is a coherence-based algorithm that improves image quality by introducing signal coherence among either receiving channels or PW transmit angles into the image output. The degree of signal coherence in DMAS is conventionally a global value for the entire image and thus the image resolution and contrast in the target region improves at the cost of speckle quality in the background region. In this study, the adaptive DMAS (ADMAS) is proposed such that the degree of signal coherence relies on the local characteristics of the image region to maintain the background speckle quality and the corresponding contrast-to-noise ratio (CNR). Subsequently, the ADMAS algorithm is further combined with minimum variance (MV) beamforming to increase the image resolution. The optimal MV estimation is determined to be in the direction of the PW transmit angle (Tx) for multi-angle PW imaging. Our results show that, using the PICMUS dataset, TxMV-ADMAS beamforming significantly improves the image quality compared with CPWC. When the p value is globally fixed to 2 as in conventional DMAS, though the main-lobe width and the image contrast in the experiments improve from 0.57 mm and 27.0 dB in CPWC, respectively, to 0.24 mm and 38.0 dB, the corresponding CNR decreases from 12.8 to 11.3 due to the degraded speckle quality. With the proposed ADMAS algorithm, however, the adaptive p value in DMAS beamforming helps to restore the CNR value to the same level of CPWC while the improvement in image resolution and contrast remains evident. Full article
(This article belongs to the Special Issue Ultrasonic Imaging and Sensors II)
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Review

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26 pages, 19634 KiB  
Review
A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures
by Shanpu Zheng, Ying Luo, Chenguang Xu and Guidong Xu
Sensors 2023, 23(6), 3183; https://doi.org/10.3390/s23063183 - 16 Mar 2023
Cited by 3 | Viewed by 2158
Abstract
Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method (LU-LDM), signals can be detected over long distances without physical contact. Additionally, this technology [...] Read more.
Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method (LU-LDM), signals can be detected over long distances without physical contact. Additionally, this technology offers excellent flexibility in designing the measurement point distribution. The characteristics of LU-LDM are first analyzed in this review, specifically in terms of laser ultrasound and hardware configuration. Next, the methods are categorized based on three criteria: the quantity of collected wavefield data, the spectral domain, and the distribution of measurement points. The advantages and disadvantages of multiple methods are compared, and the suitable conditions for each method are summarized. Thirdly, we summarize four combined methods that balance detection efficiency and accuracy. Finally, several future development trends are suggested, and the current gaps and shortcomings in LU-LDM are highlighted. This review builds a comprehensive framework for LU-LDM for the first time, which is expected to serve as a technical reference for applying this technology in large, thin-walled structures. Full article
(This article belongs to the Special Issue Ultrasonic Imaging and Sensors II)
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