NPRE 435: Radiological Imaging
In this course, we will discuss the basic principles for generating tomographic images of volumetric objects through the detection of ionizing radiation signals. These include the sources of ionizing radiation, interactions of ionizing radiation with matter, operating principles for state-of-art imaging detectors, mathematical and statistical principles for modeling the detected signal, and basic techniques for reconstructing tomographic images from measured projections. Based on these discussions, we will introduce several critically important imaging modalities, such as planar X-ray radiography, X-ray computed tomography (CT), positron emission tomography (PET), single-photon emission computed tomography (SPECT), and their application in the diagnosis of diseases, monitoring therapeutic responses and as research tools for understanding the molecular pathways underlying various biological processes. We will also discuss several emerging radiological imaging techniques, such as X-ray fluorescence emission tomography (XFET), X-ray luminescence computed tomography (XLCT), and their applications in preclinical and clinical research.
Teaching Staff and Office Hours
Instructor: Ling-Jian Meng, Ph.D. E-mail: email@example.com; Office: 111E Talbot Lab; Tel: 217-3337710.
Office hours: 3-5 pm on Friday. Please feel free to come to my office during regular hours or to send me an email to make an appointment.
Lecture Time and Place
MWF 2:00pm-2:50pm; 3018 Campus Instructional Facility.
Unofficially: radiation interactions, basic principles of radiation detectors, probability, and random variables complex numbers, linear algebra, Matlab.
 Foundations of Medical Imaging, Z. H. Cho, John Wiley & Sons, 1993.
 Radiation Detection and Measurements, Third Edition, G. F. Knoll, John Wiley & Sons, 1999.
Course Website and Zoom Link for Online Lectures
Course website: https://courses.engr.illinois.edu/npre435/
Lecture Notes (will be posted after each lecture)
Chapter 1: A (Very) Brief Introduction to Radiation Sources and Radiation Interactions
§ A brief introduction to commonly used radiation sources in radiological imaging. Reading Material: Chapters 1 in Ref. book .
§ A brief overview of interactions of radiation with matter. Reading Material: Chapters 2 in Ref. book .
Chapter 2: Linear System Theory
§ Signals and systems: Reading Material: Chapters 2 in Ref. book .
§ Fourier transform basics and sampling theory: Reading Material: Chapters 2 in Ref. book  and Chapters 2 in Ref. book .
Chapter 3: Mathematical Preliminaries for Image Processing
§ Analytical Image Reconstruction Methods (1): Radon Transform & Central Slice Theorem: Reading: Chapter 3 in Ref. book . Chapter 6 (Page 192-207) in Ref. book 
§ Analytical Image Reconstruction Methods (2): Back-projection-based reconstruction methods
§ A brief introduction to MATLAB.
§ Iterative Image Reconstruction Methods: please also see the attached paper by Shepp and Vardi on the MLEM algorithm.
§ Image Quality: Reading Material: Chapters 3 in Ref. book .
Chapter 4: X-ray Radiography and Computed Tomography
§ X-Ray Physics (1): X-ray generation. Reading Material: Chapters 4 & 5 in Ref. book 
§ X-Ray Physics (2): X-ray interactions, attenuation, and practical considerations. Reading Material: Chapters 4 & 5 in Ref. book 
§ X-Ray Physics (3): X-ray detectors. Reading Material: Chapters 4 & 5 in Ref. book 
§ X-Ray CT: Image formation and image quality: Reading Material: Chapters 6 in Ref. book .
Chapter 5: Emission Tomography and Related Imaging Techniques
§ (Not discussed) Single Photon Emission Computed Tomography (SPECT) (1): principle, radionuclides, and Imaging systems: Reading Material: Chapters 7 & 8 in Ref. book .
§ (Not discussed) Single Photon Emission Computed Tomography (2): SPECT systems, Image Formation, Design Considerations, and Recent Advances: Reading Material: Chapters 7 & 8 in Ref. book .
§ Positron Emission Tomography (PET): Basic Principle, Instrumentations, Design Considerations, and Clinical Applications: Additional Reading Material: Chapters 9 in Ref. book , and recent technological advances.
Homework (will be posted after each Monday’s lecture)
Homework #1: Due date: Wednesday 09/06/2023, at 5 pm.
Mid-term Exam Information
Final Exam Information
Mid-term exam: 30%
Final exam: Exam 30%