Cardiac Imaging and Heart Diseases: Recent Progress
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 81
Special Issue Editor
Interests: cardiovascular CT and MRI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This special issue focuses on the latest advancements in cardiac imaging technologies and their pivotal role in diagnosing, managing, and understanding heart diseases. As cardiovascular diseases remain a leading cause of mortality worldwide, the need for precise, non-invasive, and rapid diagnostic tools is more critical than ever.
In the last decade, we have witnessed significant advancements in cardiovascular MR and CT imaging. The introduction of new MR sequences (4D flow, T1 mapping, T2 mapping, etc.) and novel CT applications (late enhancement, fractional flow reserve, heart function, etc.) has expanded diagnostic capabilities, improving accuracy and patient outcomes. Additionally, the integration of computational techniques, such as artificial intelligence and machine learning, has further enhanced image interpretation and decision-making.
Contributions are invited that explore novel imaging biomarkers, AI-driven diagnostic algorithms, 3D imaging techniques, and hybrid imaging systems that integrate multiple modalities to enhance diagnostic power. Studies leveraging advanced MR and CT methodologies, such as radiomics, perfusion imaging, and motion analysis, are particularly encouraged. Research on deep learning applications for automated segmentation, functional assessment, and early disease detection will be of special interest. Furthermore, submissions assessing the clinical impact of these technologies on patient management, prognostic evaluation, and therapeutic decision-making are welcome.
To manage this growing body of information, a rigorous scientific approach is essential. Papers focusing on new diagnostic tools, diagnostic accuracy, cost-effectiveness, and changes in clinical practice driven by cardiovascular imaging are encouraged. Submissions in the field of machine learning, big data analytics, and automated image processing may also be considered. Reviews and systematic reviews are welcome.
Dr. Francesco Secchi
Guest Editor
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Keywords
- cardiac imaging
- cardiovascular MRI
- cardiac CT
- 4D Flow MRI
- T1 mapping
- T2 mapping
- late enhancement CT
- fractional flow reserve (FFR-CT)
- artificial intelligence in cardiac imaging
- machine learning in cardiology
- radiomics
- 3D imaging
- hybrid imaging
- perfusion imaging
- motion analysis
- automated segmentation
- deep learning for cardiac diagnosis
- functional assessment
- prognostic evaluation
- big data in cardiovascular imaging
- automated image processing
- clinical impact of imaging technologies
- cardiovascular disease diagnosis
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