Computed Tomography (CT) Basics

Course Overview

This course provides a comprehensive and structured exploration of Computed Tomography (CT) through 12 well-organized lectures, covering the fundamental principles, technical parameters, and advanced imaging techniques essential for clinical practice.

The course integrates theoretical foundations with practical insights, enabling learners to understand not only how CT images are formed, but also how to optimize image quality through appropriate parameter selection and scanning techniques. Special emphasis is placed on bridging the gap between physics, technology, and clinical application, with a strong focus on radiation dose optimization to ensure patient safety without compromising diagnostic image quality.

By the end of this course, learners will develop a solid conceptual framework that supports accurate image interpretation, efficient scanner operation, and informed decision-making in clinical practice, including the ability to balance image quality with optimal radiation dose in accordance with best clinical practices.

What you’ll learn

• Foundations & Core Principles
• CT Hardware & Scanning Techniques
• CT Parameters & Image Optimization
• Image Reconstruction & Visualization
• Quality Assurance & Dose Optimization
• Clinical Application & Interpretation

• Foundations & Core Principles: Gain a solid understanding of Computed Tomography (CT), from the physics of X-ray production to the mechanisms of CT image formation, including Linear Attenuation Coefficient and Hounsfield Unit (HU).
• CT Hardware & Scanning Techniques: Learn about the main components of CT systems, the types of scans (Axial, Helical, Scanogram), and acquisition protocols, enabling you to choose the most appropriate technique for different clinical scenarios.
• CT Parameters & Image Optimization: Master key parameters such as Slice Thickness, Rotation Time, Field of View (FOV), and Pitch, with practical strategies to optimize image quality while minimizing noise and radiation dose.
• Image Reconstruction & Visualization: Understand how raw HU data is converted into high-quality images, and apply advanced visualization techniques including windowing (WW/WL), Multiplanar Reconstruction (MPR), Curved MPR, MIP/MinIP, 3D Volume Rendering, and Virtual Endoscopy.
• Quality Assurance & Dose Optimization: Learn best practices to produce reliable, high-quality diagnostic images, with a focus on optimizing radiation dose to ensure patient safety without compromising image quality.
• Clinical Application & Interpretation: Develop the ability to combine theoretical knowledge with practical skills and apply all learned CT concepts and techniques directly to real-life clinical cases, supporting accurate diagnosis and effective decision-making in daily practice.

Target Audience

This course is designed for Radiology students, recent graduates, and clinical radiology professionals who wish to enhance their understanding of Computed Tomography (CT), strengthen their diagnostic and image interpretation skills, and confidently apply advanced imaging concepts in daily clinical practice.