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Ultrasonic Sensors and Ultrasonic Signal Processing

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

Deadline for manuscript submissions: 30 October 2025 | Viewed by 1861

Special Issue Editor


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Guest Editor
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: weak signal processing; aerosol sensing; gas sensing; DSP processor chip technology; ultrasonic signal processing; ultrasonic sensors
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Special Issue Information

Dear Colleagues,

The significant advancements in materials science and micro/nanotechnology are driving the development of ultrasonic sensor technology towards high precision, low power consumption, and strong environmental adaptability. With the continuous integration with advanced technologies such as artificial intelligence and edge computing, the application scope of ultrasonic technology has expanded from traditional fields such as medical diagnosis and industrial monitoring to emerging fields such as environmental monitoring and safety protection, which has had a profound and positive impact on the sustainable development of human society.

For this Special Issue of Sensors, we invite scholars from the fields of chemistry, materials, and mechanical engineering to delve into the complex challenges and technological breakthroughs encountered in the development and iteration of ultrasonic sensing devices. We also look forward to high-quality research papers on ultrasonic signal acquisition, signal processing, and cutting-edge applications, to showcase the latest research achievements in this field.

Submissions are encouraged which address topics that include, but are not limited to, the following:

  • Signal processing and data fusion in sensor systems;
  • Advanced materials for sensing;
  • Sensor technology and applications in agriculture, industry, and the environment;
  • Physical sensors;
  • Smart/intelligent sensors;
  • MEMS/NEMS;
  • Sensor networks;
  • Sensing principles;
  • Micro- and nano sensors.

Prof. Dr. Ming Zhu
Guest Editor

Manuscript Submission Information

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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

  • ultrasonic sensor technology
  • ultrasound signal processing
  • materials science
  • artificial intelligence

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Published Papers (1 paper)

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Research

22 pages, 2841 KB  
Article
A Dual-Transducer Approach for High-Resolution and High-Precision Shear Wave Elasticity Imaging
by Jingfei Liu and Stanislav Y. Emelianov
Sensors 2025, 25(17), 5532; https://doi.org/10.3390/s25175532 - 5 Sep 2025
Viewed by 1211
Abstract
Shear wave elasticity imaging, an ultrasound-based method for imaging tissue elasticity, has been widely accepted in both preclinical studies and clinical practices for diagnosing various diseases. Currently, shear wave elasticity imaging is primarily implemented using a single-transducer approach, in which the same ultrasound [...] Read more.
Shear wave elasticity imaging, an ultrasound-based method for imaging tissue elasticity, has been widely accepted in both preclinical studies and clinical practices for diagnosing various diseases. Currently, shear wave elasticity imaging is primarily implemented using a single-transducer approach, in which the same ultrasound transducer is used for both generating and recording shear waves in target tissue. This technical implementation well served the need for imaging bulk tissues in various cases. However, the limited bandwidth of the ultrasound transducer is a great obstacle to extending the application of shear wave elasticity imaging to cases where higher spatial resolution and/or stronger tissue stimulation are needed. To address this challenge, we proposed a dual-transducer approach in which two ultrasound transducers perform shear wave generation and tracking, each optimized for its respective task. The feasibility of the proposed method is demonstrated and verified in a phantom study. In this pioneering work, the strength of the dual-transducer approach is shown by its performance in shear wave tracking at various frequencies. This performance is evaluated by four measures: signal-to-noise ratio, contrast-to-noise ratio, spatial resolution, and precision in quantitative measurement. The experimental results demonstrate the superior elasticity imaging capabilities of the dual-transducer approach compared to the conventional single-transducer approach, offering a reliable strategy for further development of this imaging method for specific applications. Full article
(This article belongs to the Special Issue Ultrasonic Sensors and Ultrasonic Signal Processing)
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