PRINCIPLES OF X-RAY COMPUTED TOMOGRAPHY
Understand the basic principles of x-ray computed tomography (CT), and how to think when a technical problem arises in CT. Accomplished through a review of the history of CT developments and key components of CT systems, lectures on various CT reconstruction algorithms, image quality, and radiation dose, origin and correction methods of various CT artifacts.
Prerequisites & course information
Requisites: Consent of instructor Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2025 Learning Outcomes: 1. Understand the basic principles of x-ray CT imaging systems Audience: Graduate 2. Understand the mathematical foundation of basic CT reconstruction algorithms Audience: Graduate 3. Be able to implement filtered backprojection (FBP) reconstruction algorithms for various CT geometries Audience: Graduate 4. Understand CT image quality metrics and their dependence on CT system properties Audience: Graduate 5. Understand the physical origin of common CT image artifacts and the corresponding correction methods Audience: Graduate Learning Outcomes: 1. Understand the basic principles of x-ray CT imaging systems Audience: Graduate 2. Understand the mathematical foundation of basic CT reconstruction algorithms Audience: Graduate 3. Be able to implement filtered backprojection (FBP) reconstruction algorithms for various CT geometries Audience: Graduate 4. Understand CT image quality metrics and their dependence on CT system properties Audience: Graduate 5. Understand the physical origin of common CT image artifacts and the corresponding correction methods Audience: Graduate
Sources
- Course catalogue ↗2026-2027