Medical Imaging Techniques: CT Imaging and Reconstruction Techniques
( 30 Modules )
Module #1 Introduction to Medical Imaging Overview of medical imaging modalities and their applications
Module #2 Principles of X-ray CT Imaging Basics of X-ray CT imaging, including absorption and scattering of X-rays
Module #3 History of CT Imaging Development of CT imaging from its inception to modern advancements
Module #4 CT Scanner Components Overview of CT scanner components, including X-ray tube, detectors, and gantry
Module #5 CT Imaging Acquisition Modes Explanation of different CT imaging acquisition modes, including axial, spiral, and cone-beam
Module #6 Introduction to CT Reconstruction Basics of CT reconstruction, including algebraic reconstruction techniques (ART) and filtered backprojection (FBP)
Module #7 Filtered Backprojection (FBP) In-depth explanation of FBP algorithm, including filtering and backprojection steps
Module #8 Algebraic Reconstruction Techniques (ART) In-depth explanation of ART algorithm, including iterative reconstruction and algebraic equations
Module #9 Iterative Reconstruction Techniques Overview of iterative reconstruction techniques, including ML-EM and OS-EM
Module #10 Model-Based Reconstruction Introduction to model-based reconstruction, including prior knowledge and regularization techniques
Module #11 Sparse-View CT Reconstruction Techniques for reconstructing images from limited-angle or sparse-view data
Module #12 Limited-Angle CT Reconstruction Reconstruction techniques for limited-angle CT data
Module #13 Motion Correction and Compensatory Techniques Methods for correcting motion artifacts and compensating for patient movement
Module #14 Beam-Hardening Correction Techniques for correcting beam-hardening artifacts
Module #15 Metal Artifact Reduction Methods for reducing metal artifacts in CT images
Module #16 CT Perfusion Imaging Principles and applications of CT perfusion imaging
Module #17 Dual-Energy CT Imaging Principles and applications of dual-energy CT imaging
Module #18 Spectral CT Imaging Principles and applications of spectral CT imaging
Module #19 CT-Guided Interventional Procedures Role of CT in guiding interventional procedures
Module #20 Future Directions in CT Imaging Emerging trends and advancements in CT imaging
Module #21 CT Image Processing Fundamentals Basic concepts of image processing, including filtering and feature extraction
Module #22 Image Segmentation and Registration Techniques for segmenting and registering CT images
Module #23 Image Feature Extraction and Analysis Methods for extracting and analyzing features from CT images
Module #24 Machine Learning in CT Imaging Applications of machine learning in CT image analysis and diagnosis
Module #25 Clinical Applications of CT Image Analysis Role of CT image analysis in clinical decision-making
Module #26 CT Imaging in Radiation Therapy Role of CT imaging in radiation therapy planning and treatment
Module #27 CT Imaging in Cardiovascular Disease Applications of CT imaging in cardiovascular disease diagnosis and treatment
Module #28 CT Imaging in Neurological Disorders Role of CT imaging in neurological disorder diagnosis and treatment
Module #29 Case Studies in CT Imaging Real-world case studies demonstrating applications of CT imaging
Module #30 Course Wrap-Up & Conclusion Planning next steps in Medical Imaging Techniques: CT Imaging and Reconstruction Techniques career
