Advanced Cardiac Imaging: Cardiac Computed Tomography (CT)
This course is part of Advanced Cardiac Imaging.
This innovative course from the University of Hong Kong is the first-ever MOOC dedicated to cardiac CT imaging. Designed for radiologists, cardiologists, and healthcare professionals, it provides comprehensive training on cardiac anatomy, imaging acquisition techniques, and image analysis and reporting. The course follows level 1 recommendations of cardiac imaging societies and includes 50 hands-on clinical cases for practical experience. Students learn through engaging short videos, downloadable case studies, and interactive forums. The curriculum covers essential knowledge about different cardiac CT examinations including calcium scoring, CT coronary angiography, pulmonary vein imaging, and TAVI planning. Students will master image acquisition techniques with radiation dose reduction strategies and develop skills in post-processing and analysis. The course also explores advanced applications such as ventricular function assessment, CT FFR, myocardial perfusion, and spectral CT. Available in multiple languages with expert interviews providing career guidance, this award-winning program (QS Reimagine Education Award 2021 Gold winner in Life Sciences) requires no previous cardiac CT experience and offers material meeting level 1 competency requirements in Cardiac CT.
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What you'll learn
Understand cardiac anatomy as visualized on CT scans Master different cardiac CT examinations including calcium scoring, CT coronary angiography, and TAVI Develop skills to interpret cardiac CT examinations and CT angiography Learn image acquisition techniques that minimize radiation exposure and perform post-processing analysis Explore advanced applications of cardiac CT in coronary artery disease assessment Gain hands-on experience using specialized software through interactive web forums Understand future developments in cardiac CT technology and applications Apply knowledge through analysis of 50 real clinical cases using dedicated 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 4 modules in this course
This comprehensive course provides an in-depth introduction to cardiac computed tomography (CT) imaging. As the first-ever MOOC dedicated to cardiac CT, it covers essential knowledge for healthcare professionals looking to gain competency in this specialized field. The curriculum is structured to follow level 1 recommendations of cardiac imaging societies, covering cardiac anatomy, image acquisition techniques, analysis, and reporting. Students will learn about various cardiac CT examinations including calcium scoring, CT coronary angiography, pulmonary vein imaging, and TAVI planning. The course emphasizes practical skills through 50 hands-on clinical cases and dedicated software for image interpretation. Students will master image acquisition techniques with radiation dose reduction strategies and develop proficiency in post-processing and analysis. The program also explores advanced applications such as ventricular function assessment, CT FFR, myocardial perfusion, and spectral CT. With content delivered by international experts and available in multiple languages, this award-winning course (QS Reimagine Education Award 2021 Gold winner) provides a solid foundation for professionals seeking to incorporate cardiac CT into their practice.
Anatomy and common types of Cardiac CT
Module 1
Role, Analysis & Reporting of Cardiac CT
Module 2
Technology, Image Production and Post Processing
Module 3
Specialized Utilization of CT
Module 4
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
Payment options
Financial Aid
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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Frequently asked questions
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