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Recent Advances in Quality Assessment of Ultrasound-Based Sensing Technology and Systems

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

Deadline for manuscript submissions: 15 September 2024 | Viewed by 2232

Special Issue Editors

Dr. Andrea Scorza

E-Mail Website
Guest Editor
Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, Via Della Vasca Navale 79, 00146 Rome, Italy
Interests: mechanical and thermal measurement systems and instrumentation; design and testing of biomedical instrumentation; experimental mechanics applied in biomedical fields
Special Issues, Collections and Topics in MDPI journals
Dr. Giorgia Fiori

E-Mail Website
Guest Editor
Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy
Interests: clinical engineering; mechanical and thermal measurement systems and instrumentation; methods and systems for quality assessment of Doppler ultrasound equipment for clinical use

Special Issue Information

Dear Colleagues,

The quality assessment (QA) of sensing technology and systems based on ultrasound (US) has been receiving growing interest over the years due to their relevance and proliferation in several industries, healthcare fields and applications. In this regard, performance monitoring over time and non-conformities’ detection require protocols based on specific measurement methods and systems in order to check the quality in accordance with the manufacturer’s recommendations, comply with regulatory requirements and, in many cases, ensure user and environment health and safety.

  • This Special Issue aims at collecting original research and review articles on recent advances and innovative solutions in the quality assessment of ultrasound-based sensing technologies and systems to provide useful information on the test protocols and methods as well as instrumentation performance to the end user.
  • Topics of interest include but are not limited to QA of ultrasound-based technologies and systems in the following:

- Industrial measurement, test and process control applications;
- Healthcare;
- Pharmaceutical industry;
- Food science and technology;
- Manufacturing and production;
- Marine applications;
- Power applications;
- Materials chemistry;
- Automotive and transportation industry.

Dr. Andrea Scorza
Dr. Giorgia Fiori
Guest Editor

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

  • quality assessment
  • ultrasound
  • sensing
  • power ultrasound
  • measurement
  • systems
  • technology

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Published Papers (2 papers)

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Research

13 pages, 2743 KiB  
Article
Quality Assurance of Point and 2D Shear Wave Elastography through the Establishment of Baseline Data Using Phantoms
by Jacqueline Gallet, Elisabetta Sassaroli, Qing Yuan, Areej Aljabal and Mi-Ae Park
Sensors 2024, 24(15), 4961; https://doi.org/10.3390/s24154961 - 31 Jul 2024
Viewed by 387
Abstract
Ultrasound elastography has been available on most modern systems; however, the implementation of quality processes tends to be ad hoc. It is essential for a medical physicist to benchmark elastography measurements on each system and track them over time, especially after major software [...] Read more.
Ultrasound elastography has been available on most modern systems; however, the implementation of quality processes tends to be ad hoc. It is essential for a medical physicist to benchmark elastography measurements on each system and track them over time, especially after major software upgrades or repairs. This study aims to establish baseline data using phantoms and monitor them for quality assurance in elastography. In this paper, we utilized two phantoms: a set of cylinders, each with a composite material with varying Young’s moduli, and an anthropomorphic abdominal phantom containing a liver modeled to represent early-stage fibrosis. These phantoms were imaged using three ultrasound manufacturers’ elastography functions with either point or 2D elastography. The abdominal phantom was also imaged using magnetic resonance elastography (MRE) as it is recognized as the non-invasive gold standard for staging liver fibrosis. The scaling factor was determined based on the data acquired using MR and US elastography from the same vendor. The ultrasound elastography measurements showed inconsistency between different manufacturers, but within the same manufacturer, the measurements showed high repeatability. In conclusion, we have established baseline data for quality assurance procedures and specified the criteria for the acceptable range in liver fibrosis phantoms during routine testing. Full article
(This article belongs to the Special Issue Recent Advances in Quality Assessment of Ultrasound-Based Sensing Technology and Systems)
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17 pages, 12341 KiB  
Article
PMUT-Based System for Continuous Monitoring of Bolted Joints Preload
by Stefano Sanvito, Marco Passoni, Domenico Giusti, Marco Terenzi, Carlo Prelini, Monica La Mura and Alessandro Stuart Savoia
Sensors 2024, 24(13), 4150; https://doi.org/10.3390/s24134150 - 26 Jun 2024
Viewed by 843
Abstract
In this paper, we present a bolt preload monitoring system, including the system architecture and algorithms. We show how Finite Element Method (FEM) simulations aided the design and how we processed signals to achieve experimental validation. The preload is measured using a Piezoelectric [...] Read more.
In this paper, we present a bolt preload monitoring system, including the system architecture and algorithms. We show how Finite Element Method (FEM) simulations aided the design and how we processed signals to achieve experimental validation. The preload is measured using a Piezoelectric Micromachined Ultrasonic Transducer (PMUT) in pulse-echo mode, by detecting the Change in Time-of-Flight (CTOF) of the acoustic wave generated by the PMUT, between no-load and load conditions. We performed FEM simulations to analyze the wave propagation inside the bolt and understand the effect of different configurations and parameters, such as transducer bandwidth, transducer position (head/tip), presence or absence of threads, as well as the frequency of the acoustic waves. In order to couple the PMUT to the bolt, a novel assembly process involving the deposition of an elastomeric acoustic impedance matching layer was developed. We achieved, for the first time with PMUTs, an experimental measure of bolt preload from the CTOF, with a good signal-to-noise ratio. Due to its low cost and small size, this system has great potential for use in the field for continuous monitoring throughout the operative life of the bolt. Full article
(This article belongs to the Special Issue Recent Advances in Quality Assessment of Ultrasound-Based Sensing Technology and Systems)
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