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Applied Sciences
Special Issues
Current Updates on Ultrasound for Biomedical Applications
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Current Updates on Ultrasound for Biomedical Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: 30 July 2024 | Viewed by 445

Special Issue Editors

Dr. Andrea Cafarelli

E-Mail Website
Guest Editor
The BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
Interests: therapeutic ultrasound; regenerative medicine;ultrasound imaging; targeted drug delivery
Dr. Allegra Conti

E-Mail Website
Guest Editor
Medical Physics Section, Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Roma, RM, Italy
Interests: therapeutic ultrasound; nanoparticle-based theranostics; drug delivery; ultrasound; preclinical models; molecular imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The biomedical applications of ultrasound are experiencing rapid advancements, as technologies, methodologies, and applications are continuously developing. This Special Issue aims to showcase the latest progress in ultrasound research for biomedical purposes, encompassing its diagnostic and therapeutic applications.

We invite contributions that span a wide range of topics including, but not limited to:

  • Diagnostic imaging techniques: advancements in ultrasound imaging methodologies for medical diagnosis.
  • Therapeutic ultrasound: innovations in ultrasound technologies for therapeutic interventions, such as high-intensity focused ultrasound (HIFU) and low-intensity pulsed ultrasound (LIPUS).
  • Ultrasound-triggered drug delivery systems.
  • Interdisciplinary approaches to integrating ultrasound with other biomedical tools.

This Special Issue welcomes high-quality, original research papers addressing the multifaceted significance of ultrasound in biomedical applications. We encourage contributions from experts in academia and industry, aiming to foster a comprehensive dialogue on the current state and future directions of ultrasound technology in the biomedical field.

Dr. Andrea Cafarelli
Dr. Allegra Conti
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. Applied Sciences 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 2400 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

  • therapeutic ultrasound
  • high-intensity focused ultrasound (HIFU)
  • low-intensity pulsed ultrasound (LIPUS)
  • ultrasound-triggered drug delivery
  • ultrasound-responsive materials
  • ultrasound imaging
  • medical ultrasound
  • ultrasound-guided therapies
  • quantitative ultrasound
  • artificial intelligence in ultrasound

Published Papers (1 paper)

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Research

9 pages, 1440 KiB  
Article
Difference in Stiffness between Biceps Brachii Muscle Bellies Using Shear Wave Elastography
by Jacqueline Roots, Gabriel S. Trajano, Adam Bretherton, Christopher Drovandi and Davide Fontanarosa
Appl. Sci. 2024, 14(8), 3456; https://doi.org/10.3390/app14083456 - 19 Apr 2024
Viewed by 280
Abstract
The Shear Wave Elastography of muscles can provide real-time information on the stiffness of muscles; however, the difference in stiffness between biceps brachii muscle bellies requires more research. Understanding the variables that affect muscle stiffness will assist in the development of Shear Wave [...] Read more.
The Shear Wave Elastography of muscles can provide real-time information on the stiffness of muscles; however, the difference in stiffness between biceps brachii muscle bellies requires more research. Understanding the variables that affect muscle stiffness will assist in the development of Shear Wave Elastography as a diagnostic tool for muscle stiffness pathologies. This study’s aim is to determine the Shear Wave Velocity of the short and long head of biceps brachii and the change in stiffness with elbow flexion to create a reliable protocol for pathological muscle assessment. The muscle belly of the short and long heads of bilateral biceps brachii of 38 healthy participants were scanned supine with the arm at full extension and at 30° and 60° elbow flexion. A log transform of the SWV was used as the response variable in the regression analysis, and the intraclass correlation coefficient was determined for reliability. The Shear Wave Velocity of the short head was lower than the long head on average. By fitting Bayesian mixed effect regression models to the data, the estimated posterior predictive mean velocities for the short head at full extension, 30°, and 60° were 3.14 m/s, 2.65 m/s, and 2.62 m/s, respectively; and 3.91 m/s, 3.02 m/s, and 3.15 m/s, respectively, for the long head of the biceps brachii. The intraclass correlation coefficients (0.64–0.92) were good to excellent. Shear Wave Elastography can detect the consistent difference in the stiffness of the two muscle bellies of the biceps brachii at multiple elbow angles. The assessment of muscle stiffness with Shear Wave Elastography should consider the morphology of the muscles. Full article
(This article belongs to the Special Issue Current Updates on Ultrasound for Biomedical Applications)
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