Biomedical Imaging Technologies for Cardiovascular Disease—3rd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 691

Special Issue Editor


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Guest Editor
1. Department of Cardiac Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
2. Department of Radiology, University of Calgary, Calgary, AB T2N 1N4, Canada
3. Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB T2N 1N4, Canada
4. Libin Cardiovascular Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
5. Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
Interests: cardiac imaging; flow hemodynamics; experimental models; cardiac magnetic resonance; cardiovascular 4-dimensional flow (4D Flow) imaging
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Special Issue Information

Dear Colleagues,

Biomedical imaging technologies have substantially increased in number and diversity over the past few years. Important improvements in accuracy, sensitivity, and refinement have been possible thanks to technological advances in software and hardware. In particular, cardiovascular disease assessment of anatomy, hemodynamics, and tissue biomarkers saw exceptional improvement, aiding the stratification of patient risk and therapy. The recent integration of artificial intelligence and machine learning has also supported novel approaches for personalized image-based diagnosis. In addition, image-based computational-assisted diagnosis is a promising option for uncovering key insights into disease progression and personalized solutions.

This Special Issue is dedicated to collecting the most recent progress in biomedical imaging technologies for cardiovascular disease. The Special Issue will cover a wide range of topics, including but not limited to:

  • Advances in cardiac echocardiography;
  • Advances in cardiac computed tomography;
  • Advances in cardiac magnetic resonance;
  • Advances in positron emission tomography;
  • Advances in cardiovascular image processing;
  • Advances in image-guided interventions;
  • Advances in personalized cardiac imaging;
  • Advances in the integration of medical imaging and computational modelling;
  • Advances in biomedical imaging using machine learning and artificial intelligence;
  • Advances in experimental cardiac imaging.

We look forward to receiving your contributions.

Dr. Julio Garcia Flores
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. 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.

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Published Papers (1 paper)

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Review

13 pages, 573 KiB  
Review
Delayed Enhancement in Cardiac CT: A Potential Alternative to Cardiac MRI? Technical Updates and Clinical Considerations
by Domenico De Stefano, Federica Vaccarino, Domiziana Santucci, Marco Parillo, Antonio Nenna, Francesco Loreni, Chiara Ferrisi, Omar Giacinto, Raffaele Barbato, Ciro Mastroianni, Mario Lusini, Massimo Chello, Bruno Beomonte Zobel, Rosario Francesco Grasso and Eliodoro Faiella
Appl. Sci. 2024, 14(10), 4275; https://doi.org/10.3390/app14104275 - 17 May 2024
Viewed by 355
Abstract
Despite cardiac magnetic resonance (CMR) with late gadolinium enhancement (LGE) being the current gold standard for non-invasive myocardial characterization and fibrosis quantification, its accessibility is limited, particularly in acute settings and in certain patient populations with contraindications to magnetic resonance imaging. Late iodine [...] Read more.
Despite cardiac magnetic resonance (CMR) with late gadolinium enhancement (LGE) being the current gold standard for non-invasive myocardial characterization and fibrosis quantification, its accessibility is limited, particularly in acute settings and in certain patient populations with contraindications to magnetic resonance imaging. Late iodine enhancement (LIE) in computed tomography (CT) imaging has emerged as a potential alternative, capitalizing on the similarities in the contrast kinetics between gadolinium and iodinated contrast agents. Studies have investigated LIE-CT’s effectiveness in myocardial infarction (MI) detection, revealing promising outcomes alongside some disparities compared to LGE-CMR. LIE-CT also proves beneficial in diagnosing non-ischemic heart diseases such as myocarditis, hypertrophic cardiomyopathy, and sarcoidosis. While LIE-CT demonstrates good accuracy in detecting certain myocardial pathologies, including acute MI and chronic fibrotic changes, it has limitations, such as the inability to detect diffuse myocardial enhancement. Nonetheless, thanks to the availability of optimized protocols with minimal radiation doses and contrast medium administration, integrating LIE-CT into cardiac CT protocols could enhance its clinical utility, particularly in acute settings, providing valuable prognostic and management insights across a spectrum of cardiac ischemic and non-ischemic conditions. Full article
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