Advanced Cardiac Imaging: Cardiac Magnetic Resonance (CMR)
This course is part of Advanced Cardiac Imaging.
This comprehensive course from HKU introduces healthcare professionals to Cardiac Magnetic Resonance (CMR) imaging. As the first-ever MOOC on CMR and a GOLD Award Winner of QS Reimagine Education Award 2021 in Life Sciences, it's designed for radiologists, cardiologists, technologists, and health professionals interested in cardiovascular imaging. No previous CMR experience is required. The course covers fundamental physics and sequences used in CMR, safety profiles of contrast agents, image analysis techniques compliant with SCMR level 1 competency, and practical experience with real clinical cases using dedicated software. Students will learn to assess ventricular function, stress perfusion, late gadolinium enhancement, and post-processing techniques. The curriculum also explores advanced developments in CMR including exercise imaging, artificial intelligence, feature tracking, and T1/T2 mapping. Throughout the course, participants receive career advice from renowned CMR experts through exclusive interviews. The content is organized into five weeks covering sequences and physics, cardiomyopathies, coronary artery disease, congenital heart disease, and future developments. Each section includes hands-on experience with clinical cases and tutorial videos. Available in multiple languages, this course provides a solid foundation in CMR techniques and their clinical applications.
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What you'll learn
Introduction of advanced techniques such as T1 and T2 mapping, feature tracking and exercise CMR
Understanding the different sequences used in cardiac MRI imaging and the physics behind these sequences
Learning how to acquire cardiac imaging planes and assess ventricular function
Understanding normal appearances of cardiac structures and how different pathologies result in cardiac remodeling
Gaining overview of main cardiac diseases including coronary artery disease, cardiomyopathies, and congenital heart disease
Developing hands-on experience with clinical cases using dedicated CMR software
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 6 modules in this course
This comprehensive course introduces healthcare professionals to Cardiac Magnetic Resonance (CMR) imaging techniques and applications. Starting with the physics and sequences behind CMR, students learn how to acquire cardiac imaging planes and assess ventricular function, late gadolinium enhancement, and T2* for iron overload. The curriculum covers major cardiac conditions including coronary artery disease, cardiomyopathies, valvular heart disease, cardiac tumors, and congenital heart disease. Participants gain practical experience analyzing real clinical cases using dedicated CMR software through web forums and tutorials. Advanced techniques such as T1/T2 mapping, feature tracking, and exercise CMR are explored, along with future developments in the field. The course emphasizes understanding normal anatomical appearances and recognizing pathological changes in cardiac structures. With instruction from leading international experts, students develop skills to interpret CMR findings and understand their clinical significance. The format combines short educational videos, downloadable cases, and interactive forums to create a comprehensive learning experience suitable for medical professionals with or without prior CMR experience.
Sequences, Acquisition, Contrast Agents and Basic Physics
Module 1
Cardiomyopathies, LGE and T2
Module 2
Coronary Artery Disease, Aorta, Pericardium and Valves
Module 3
Congenital Heart Disease and Paediatric Scanning
Module 4
Advanced and Future Developments
Module 5
Clinical Cases
Module 6
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Advanced Cardiac Imaging
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Instructors
4 Courses
Distinguished Cardiac Imaging Expert and Global Medical Education Innovator
Dr. Ming-Yen Ng serves as Clinical Associate Professor in the Department of Diagnostic Radiology at The University of Hong Kong and Director of HKU's groundbreaking Cardiac Imaging MOOCs, where he has revolutionized global cardiac imaging education. After completing his radiology training in Manchester and a prestigious cardiac imaging fellowship at Toronto General Hospital, he has established himself as a leading authority in cardiothoracic imaging. His academic excellence is evidenced by fellowships in the American College of Cardiology, Society of Cardiovascular Magnetic Resonance (SCMR), and Society of Cardiovascular Computed Tomography (SCCT), along with his role as SCMR Education Committee Chair and SCCT Board member. His innovative online cardiac imaging courses have earned multiple accolades, including the HKU Teaching Innovation Award and QS Reimagine Education Gold Award, while being nominated twice as an edX Prize finalist. With over 80 peer-reviewed publications in prestigious journals like JACC and Radiology, his research focuses on quantitative stress CMR, coronary artery disease, diabetes, heart failure, and COVID-19. As Associate Editor for both the Journal of Cardiovascular Magnetic Resonance and Journal of Cardiovascular Computed Tomography, he continues to shape the field while making specialized cardiac imaging education more accessible globally through his pioneering MOOC initiatives
4 Courses
Distinguished Radiologist and AI-Driven Medical Imaging Pioneer
Dr. Varut Vince Vardhanabhuti serves as Clinical Assistant Professor in the Department of Diagnostic Radiology at The University of Hong Kong, bringing extensive expertise in advanced medical imaging and artificial intelligence applications. After completing his medical degree at Guy's, King's and St Thomas' School of Medicine in London, he pursued comprehensive training across prestigious UK institutions while simultaneously completing his Ph.D. His research focuses on quantitative image analysis using machine learning, longevity and health optimization through big data analytics, and advanced cancer imaging, particularly in prostate, liver, nasopharyngeal, and lung carcinoma. As Section Editor for European Radiology's "Computed Tomography" section and reviewer for numerous prestigious journals, he has contributed significantly to the field through over 80 peer-reviewed publications. His commitment to educational innovation is demonstrated through his roles as Microsoft Cloud Research Software Fellow and Amazon Faculty Ambassador in the AWS Educate Cloud Ambassador Program, while his research continues to advance the application of AI in medical imaging, including deep learning models for cancer detection and radiomics for disease prognostication
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