Recent Advances in Cardiac Imaging: 2024

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1342

Special Issue Editor


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Guest Editor
Section Chief, Division of Cardiology, School of Medicine, Wayne State University, John D. Dingell VA Medical Center, 4646 John R, Detroit, MI 48201, USA
Interests: advanced cardiac imaging; cardiovascular CT; cardiovascular MRI; nuclear cardiology; advanced echocardiography; outcomes research

Special Issue Information

Dear Colleagues,

Significant advances in cardiac imaging have occurred in recent years, revolutionizing the way heart conditions are diagnosed and managed. From the introduction of novel imaging modalities such as 3D echocardiography and cardiac magnetic resonance imaging (MRI) to the development of artificial intelligence-based image analysis techniques, researchers and clinicians are now better equipped than ever for the accurate assessment ofcardiac structure and function.

The Special Issue aims to collect manuscripts, original articles,or reviewers focusing on the clinical application and advancement of the following cardiac imaging techniques, which are relevant to diagnosing and managing cardiovascular issues:

  • X-ray
  • echocardiography
  • MRI
  • CT
  • PET/CT
  • cardiac catheterization

Prof. Dr. Aiden Abidov
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.

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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

  • X-ray
  • echocardiography
  • MRI
  • CT
  • PET/CT
  • cardiac catheterization

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Published Papers (2 papers)

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Research

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18 pages, 5556 KiB  
Article
Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis
by Liang-Hung Wang, Chao-Xin Xie, Tao Yang, Hong-Xin Tan, Ming-Hui Fan, I-Chun Kuo, Zne-Jung Lee, Tsung-Yi Chen, Pao-Cheng Huang, Shih-Lun Chen and Patricia Angela R. Abu
Diagnostics 2024, 14(17), 1910; https://doi.org/10.3390/diagnostics14171910 - 29 Aug 2024
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Abstract
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of [...] Read more.
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground–background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed to ensure consistency in amplitude, rather than solely in shape, for digital signals. The original signal reconstruction algorithm was validated with the MIT–BIH and PTB databases by comparing the difference between the reconstructed and the original signals. Moreover, the mean of the Pearson correlation coefficient was 0.97 and 0.98, respectively, while the mean absolute errors were 0.324 and 0.241, respectively. The method proposed in this study converts paper-recorded ECGs into a digital format, enabling direct analysis using software. Automated techniques for acquiring and restoring ECG reference voltages enhance the reconstruction accuracy. This innovative approach facilitates data storage, medical communication, and remote ECG analysis, and minimizes errors in remote diagnosis. Full article
(This article belongs to the Special Issue Recent Advances in Cardiac Imaging: 2024)
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Review

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15 pages, 1497 KiB  
Review
Quantification of Replacement Fibrosis in Aortic Stenosis: A Narrative Review on the Utility of Cardiovascular Magnetic Resonance Imaging
by Megan R. Rajah, Anton F. Doubell and Philip G. Herbst
Diagnostics 2024, 14(21), 2435; https://doi.org/10.3390/diagnostics14212435 - 31 Oct 2024
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Abstract
Aortic stenosis (AS) is associated with the development of replacement myocardial fibrosis/scar. Given the dose-dependent relationship between scar and clinical outcomes after aortic valve replacement (AVR) surgery, scar quantity may serve as an important risk-stratification tool to aid decision-making on the optimal timing [...] Read more.
Aortic stenosis (AS) is associated with the development of replacement myocardial fibrosis/scar. Given the dose-dependent relationship between scar and clinical outcomes after aortic valve replacement (AVR) surgery, scar quantity may serve as an important risk-stratification tool to aid decision-making on the optimal timing of AVR. Scar is non-invasively assessed and quantified by cardiovascular magnetic resonance (CMR) imaging. Several quantification techniques exist, and consensus on the optimal technique is lacking. These techniques range from a visual manual method to fully automated ones. This review describes the different scar quantification techniques used and highlights their strengths and shortfalls within the context of AS. The two most commonly used techniques in AS include the semi-automated signal threshold versus reference mean (STRM) and full-width half-maximum (FWHM) techniques. The accuracy and reproducibility of these techniques may be hindered in AS by the coexistence of diffuse interstitial fibrosis and the presence of relatively small, non-bright scars. The validation of these techniques against histology, which is the current gold standard for scar quantification in AS, is limited. Based on the best current evidence, the STRM method using a threshold of three standard deviations above the mean signal intensity of remote myocardium is recommended. The high reproducibility of the FWHM technique in non-AS cohorts has been shown and merits further evaluation within the context of AS. Future directions include the use of quantitative T1 mapping for the detection and quantification of scar, as well as the development of serum biomarkers that reflect the fibrotic status of the myocardium in AS. Full article
(This article belongs to the Special Issue Recent Advances in Cardiac Imaging: 2024)
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