Biomedical Imaging Technologies for Cardiovascular Disease
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 March 2022) | Viewed by 24524
Special Issue Editor
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 several years. An important improvement in accuracy, sensitivity, and refinement has 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 have 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 Issue will cover a wide range of topics, including but not limited to:
- Advances in cardiac echo-cardiography;
- 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;
- Advanced 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
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