Module #1 Introduction to Cardiac Imaging Overview of cardiac imaging, importance of 3D and 4D imaging, and course objectives
Module #2 Cardiac Anatomy and Physiology Review of cardiac anatomy and physiology, relevance to 3D and 4D imaging
Module #3 Basics of 3D Imaging Principles of 3D imaging, reconstruction techniques, and image processing
Module #4 Modalities for 3D Cardiac Imaging Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Ultrasound (US) for 3D cardiac imaging
Module #5 Clinical Applications of 3D Cardiac Imaging Assessment of cardiac structure and function, cardiac chamber quantification, and valve evaluation
Module #6 Principles of 4D Imaging Introduction to 4D imaging, temporal resolution, and image acquisition techniques
Module #7 4D Cardiac Imaging Modalities 4D cardiac imaging using CT, MRI, and US
Module #8 Clinical Applications of 4D Cardiac Imaging Assessment of cardiac function, motion, and flow, and applications in cardiac disease diagnosis
Module #9 Image Segmentation and Analysis Automatic and semi-automatic segmentation techniques, and quantitative analysis of 3D and 4D images
Module #10 Image Registration and Fusion Registration and fusion of 3D and 4D images from different modalities and time points
Module #11 Visualization and Rendering Techniques for visualizing and rendering 3D and 4D cardiac images, and interactive visualization tools
Module #12 Dose Reduction Strategies in Cardiac CT Dose reduction techniques for cardiac CT, including iterative reconstruction and prospective ECG gating
Module #13 MRI Safety and Artifacts MRI safety considerations, artifacts, and optimization techniques for cardiac imaging
Module #14 Ultrasound Imaging in Cardiac 3D and 4D Ultrasound-based 3D and 4D cardiac imaging, including contrast-enhanced and stress echo
Module #15 Applications in Cardiac Resynchronization Therapy Use of 3D and 4D imaging in cardiac resynchronization therapy, including scar tissue identification and lead placement
Module #16 Applications in Electrophysiology Use of 3D and 4D imaging in electrophysiology, including arrhythmia diagnosis and ablation planning
Module #17 Applications in Structural Heart Disease Use of 3D and 4D imaging in structural heart disease, including mitral valve intervention and left atrial appendage closure
Module #18 Artificial Intelligence and Machine Learning in Cardiac Imaging Applications of AI and ML in cardiac imaging, including image analysis and prediction models
Module #19 Case Studies in 3D and 4D Cardiac Imaging Real-world examples of 3D and 4D cardiac imaging in clinical practice
Module #20 Image Quality and Optimization Factors affecting image quality, and optimization techniques for 3D and 4D cardiac imaging
Module #21 Data Management and Storage Strategies for managing and storing large 3D and 4D image datasets
Module #22 Regulatory and Reimbursement Considerations Regulatory and reimbursement considerations for 3D and 4D cardiac imaging
Module #23 Future Directions in 3D and 4D Cardiac Imaging Emerging trends and technologies in 3D and 4D cardiac imaging
Module #24 Hands-on Workshop:3D and 4D Cardiac Imaging Practical hands-on experience with 3D and 4D cardiac imaging software and tools
Module #25 Course Wrap-Up & Conclusion Planning next steps in 3D and 4D Cardiac Imaging career
