Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering (2nd Edition)

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2850

Special Issue Editors


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Guest Editor
Faculty of Sustainable Design Engineering, University of Prince Edward Island, 550 University Ave, Charlottetown, PE C1A 4P3, Canada
Interests: thermo-fluids; mathematical modeling & simulations; computational fluid dynamics and heat transfer; biomedical engineering
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Guest Editor
MS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, 75 University Avenue West, Waterloo, ON N2L 3C5, Canada
Interests: coupled multiscale problems in bioengineering and biomedicine; biomaterials, bionano systems; inverse problems; modelling dynamic diseases and pain; brain processes and brain models; geometry-based techniques such as 3D printing; statistical learning, human factor, control systems
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Co-Guest Editor
1. Department of Mechanical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA
2. Biotechnology High Performance Computing Software Applications Institute, Frederick, MD, USA
Interests: breast cancer; prostate cancer; nanotechnology; image processing; artificial intelligence; heat transfer; bioheat transfer; thermal ablation; hyperthermia; hypothermia; infrared imaging; medical imaging; fluid flow; solid mechanics; inverse heat transfer; mathematical modelling; magnetic nanoparticles; gold nanoparticles; radiofrequency ablation; microwave ablation; high intensity focused ultrasound; laser; thermal therapies; cancer diagnosis; drug delivery; animal studies

Special Issue Information

Dear Colleagues,

Mathematical modeling in biomedical engineering plays a vital role in understanding complex multidisciplinary interactions and processes at the organ, tissue, and cellular scales. Mathematical modeling serves as a low-cost but powerful alternative for optimizing, predicting, and improving existing healthcare protocols, systems, and equipment. This Special Issue aims at collecting original research articles related to the advancement and development of novel mathematical models broadly applied across a wide range of biomedical engineering and medical physics, including diagnostic, therapeutic, imaging, and interventional applications. Review articles pertaining to the overall scope of this Issue are also welcome.

Topics of particular interest include, but are not limited to:

  • Coupled multiphysics and multiscale models in bioengineering and biomedicine;
  • Bioheat models and thermography;
  • Models for cancer theranostics;
  • Patient-specific models;
  • Dynamic and network models (e.g., regulatory, metabolic, brain networks, etc.);
  • Machine learning and multiscale modeling in the biological, biomedical, and behavioral sciences;
  • Synthetic biology and its applications;
  • Mathematical approaches for regenerative medicine;
  • Hemodynamics and drug delivery models;
  • Computational neuroscience and neuroengineering, data-driven approaches in multidisciplinary neuroscience;
  • Numerical methods and algorithms in the biomedical engineering;
  • Computational and systems biology;
  • Computational biomechanics;
  • Reduced-order models;
  • Biomedical simulation and high-performance computing.

Many of the recent advances in applying mathematical and computational models in biomedical science and engineering come from the ideas generated in the coupled complex systems and networks community. This latter topic has been one of the main themes of the latest edition of the International AMMCS Conference held in Waterloo, Canada, with a special interdisciplinary symposium devoted to this topic (http://ammcs.wlu.ca/2023/special-sessions/ccsms/). Manuscripts covering the areas of coupled complex systems and networks with their applications to biomedical science and engineering will be particularly welcome to this Special Issue of Bioengineering.

Dr. Sundeep Singh
Prof. Dr. Roderick Melnik
Dr. Manpreet Singh
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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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

  • modeling and simulation
  • biomedical engineering
  • medical physics
  • multiphysics and multiscale models
  • biomedical therapy
  • neurotechnology
  • regenerative medicine
  • drug delivery
  • data-driven models
  • machine learning
  • patient-specific models

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Published Papers (1 paper)

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Research

14 pages, 1009 KiB  
Article
Automated Lumen Segmentation in Carotid Artery Ultrasound Images Based on Adaptive Generated Shape Prior
by Yu Li, Liwen Zou, Jiajia Song and Kailin Gong
Bioengineering 2024, 11(8), 812; https://doi.org/10.3390/bioengineering11080812 - 9 Aug 2024
Viewed by 1260
Abstract
Ultrasound imaging is vital for diagnosing carotid artery vascular lesions, highlighting the importance of accurately segmenting lumens in ultrasound images to prevent, diagnose and treat vascular diseases. However, noise artifacts, blood residue and discontinuous lumens significantly affect segmentation accuracy. To achieve accurate lumen [...] Read more.
Ultrasound imaging is vital for diagnosing carotid artery vascular lesions, highlighting the importance of accurately segmenting lumens in ultrasound images to prevent, diagnose and treat vascular diseases. However, noise artifacts, blood residue and discontinuous lumens significantly affect segmentation accuracy. To achieve accurate lumen segmentation in low-quality images, we propose a novel segmentation algorithm which is guided by an adaptively generated shape prior. To tackle the above challenges, we introduce a shape-prior-based segmentation method for carotid artery lumen walls. The shape prior in this study is adaptively generated based on the evolutionary trend of vessel growth. Shape priors guide and constrain the active contour, resulting in precise segmentation. The efficacy of the proposed model was confirmed using 247 carotid artery ultrasound images, with experimental results showing an average Dice coefficient of 92.38%, demonstrating superior segmentation performance compared to existing mathematical models. Our method can quickly and effectively perform accurate lumen segmentation on low-quality carotid artery ultrasound images, which is of great significance for the diagnosis of cardiovascular and cerebrovascular diseases. Full article
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