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Special Issue "Ultrasound Imaging and Sonoelastography for Measuring Mechanical Properties of Human Tissues"

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

Deadline for manuscript submissions: 12 July 2022.

Special Issue Editors

Prof. Dr. Javier Abián-Vicén
E-Mail Website
Guest Editor
Performance and Sports Rehabilitation Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
Interests: sport science; sport biomechanics; physical activity; caffeine; ergogenic aids; racquet sports; injury prevention; exercise performance; sonoelastography in sports injury diagnosis
Dr. Fernando Jiménez
E-Mail
Guest Editor
Performance and Sports Rehabilitation Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
Interests: Sports injury rehabilitation; MSK injury prevention; Ultrasound diagnosis; Ultrasound-guided treatments in MSK pathology; Therapeutic management of tendon injuries; Therapeutic management of muscle injuries; Application of sonoelastography in sports injury diagnosis; Usefulness of sonoelastography in the prevention of injuries
Dr. Pablo Abián
E-Mail
Guest Editor
Faculty of Humanities and Social Sciences, Comillas Pontifical University, Madrid 28049, Spain
Interests: sport science; sport injury; injury prevention; athletic performance; physical activity; sonoelastography in sports; sonoelastography in the prevention of injuries.

Special Issue Information

For the last few decades, sonoelastography has been widely utilized as a diagnostic ultrasound technique that provides a noninvasive means of estimating soft tissue elasticity and stiffness. Currently, sonoelastography has become one of the key methods for measuring mechanical properties of tissues, such as elasticity of soft tissues. The main types of sonoelastography used in biology and medicine are compression elastography, shear-wave elastography, and transient elastography.
This Special Issue aims to bring together recent studies on sonoelastography and their applications in medicine and biology. We welcome original research contributions and reviews of state-of-the-art studies from academia and industry. The Special Issue topics include but are not limited to the following:

  • Advanced sonoelatography techniques
  • Novel sonoelastography devices
  • Biomedical sonoelastography applications
  • Application of sonoelastography in sports injury diagnosis
  • Usefulness of sonoelastography in the prevention of injuries
  • Sonoelastography for the measurement of mechanical properties of tissues
  • Ultrasound imaging and sonoelastography
  • Other associate devices and applications

Prof. Dr. Javier Abián-Vicén
Dr. Fernando Jiménez
Dr. Pablo Abián
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 papers will be 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 2200 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
  • multimodal imaging
  • elastography
  • stiffness
  • echography
  • ultrasound applications
  • musculoskeletal system

Published Papers (1 paper)

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Research

Article
Objective Assessment of Regional Stiffness in Vastus Lateralis with Different Measurement Methods: A Reliability Study
Sensors 2021, 21(9), 3213; https://0-doi-org.brum.beds.ac.uk/10.3390/s21093213 - 06 May 2021
Cited by 1 | Viewed by 701
Abstract
The objective of this study was to evaluate the reliability of four methods of assessing vastus lateralis (VL) stiffness, and to describe the influence of structural characteristics on them. The stiffness of the dominant lower-limb’s VL was evaluated in 53 healthy participants (28.4 [...] Read more.
The objective of this study was to evaluate the reliability of four methods of assessing vastus lateralis (VL) stiffness, and to describe the influence of structural characteristics on them. The stiffness of the dominant lower-limb’s VL was evaluated in 53 healthy participants (28.4 ± 9.1 years) with shear wave elastography (SWE), strain elastography (SE), myotonometry and tensiomyography (TMG). The SWE, SE and myotonometry were performed at 50%, and TMG was assessed at 30%, of the length from the upper pole of the patella to the greater trochanter. The thickness of the VL, adipose tissue and superficial connective tissue was also measured with ultrasound. Three repeated measurements were acquired to assess reliability, using intraclass correlation coefficients (ICC). Pearson’s correlation coefficients were calculated to determine the relationships between methodologic assessments and between structural characteristics and stiffness assessments of the VL. Myotonometry (ICC = 0.93; 95%-CI = 0.89,0.96) and TMG (ICC = 0.89; 95%-CI = 0.82,0.94) showed excellent inter-day reliability whereas with SWE (ICC = 0.62; 95%-CI = 0.41,0.77) and SE (ICC = 0.71; 95%-CI = 0.57,0.81) reliability was moderate. Significant correlations were found between myotonometry and VL thickness (r = 0.361; p = 0.008), adipose tissue thickness (r = −0.459; p = 0.001) and superficial connective tissue thickness (r = 0.340; p = 0.013). Myotonometry and TMG showed the best reliability values, although myotonometry stiffness values were influenced by the structural variables of the supra-adjacent tissue. Full article
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