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Ultrasonic Imaging and Sensors—Third Edition

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

Deadline for manuscript submissions: closed (20 June 2026) | Viewed by 383

Editors


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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

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

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,

Following the success of the second edition of our Special Issue titled “Ultrasonic Imaging and Sensors II” (https://www.mdpi.com/journal/sensors/special_issues/0P1EXS34JB), we once again invite our colleagues from across the world to contribute their expertise, insights, and findings in the form of original research articles and reviews for a new Special Issue, titled “Ultrasonic Imaging and Sensors—Third Edition”.

This Special Issue is open to new research and review papers in relevant domains, including, but not limited to, the following:

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 contributions to this Special Issue, which we hope will provide a comprehensive overview of recent advances in all fields within 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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

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Published Papers (1 paper)

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Research

10 pages, 14436 KB  
Article
Introduction of a Realistic Body-Mimicking Ultrasound Phantom with Integrated Optical Feedback for the Training of Ultrasound-Guided Thyroid Nodule Punctures
by Christian Kühnel, Steffen Schrott, Martin Freesmeyer and Philipp Seifert
Sensors 2026, 26(17), 5332; https://doi.org/10.3390/s26175332 (registering DOI) - 23 Aug 2026
Abstract
Conventional ultrasound phantoms typically lack anatomical surface geometry and procedural access constraints, limiting the transferability of acquired skills to clinical practice. The objective of the present work was to develop and describe such a platform for ultrasound-guided thyroid nodule puncture training, including its [...] Read more.
Conventional ultrasound phantoms typically lack anatomical surface geometry and procedural access constraints, limiting the transferability of acquired skills to clinical practice. The objective of the present work was to develop and describe such a platform for ultrasound-guided thyroid nodule puncture training, including its construction and initial ultrasound appearance. We present a modular, body-mimicking ultrasound phantom platform comprising three components: an anatomically shaped epoxy composite chassis cast from a healthy volunteer and covering the cervical and upper thoracic region, interchangeable gelatin-based inserts representing thyroid (including puncture target lesions) and surrounding tissue structures, and an integrated dual-camera optical feedback system for real-time and post-procedural needle trajectory visualization. Two chassis configurations reflecting different chin and shoulder positions allow deliberate modulation of procedural difficulty. Insert composition can be varied to simulate tissues of differing echogenicity and density, including liquid-filled targets. Under appropriate storage and disinfection conditions, inserts remained usable for up to four weeks in qualitative observation. The optical feedback system supports self-directed learning and structured debriefing. In combination with magnet-based ultrasound needle guidance technology, the platform is intended to support a longitudinal, competency-based training concept with quantifiable performance metrics, enabling systematic documentation of individual learning curves. The presented system is designed to more closely replicate the anatomical and procedural complexity of clinical ultrasound-guided interventions than conventional phantoms and represents a flexible simulation platform for interventional ultrasound education. Full article
(This article belongs to the Special Issue Ultrasonic Imaging and Sensors—Third Edition)
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