CSE377

Course CSE377
Title Introduction to Medical Imaging
Credits 3
Course Coordinator

Klaus Mueller
Description

An introduction to the mathematical, physical, and computational principles underlying modern medical imaging systems. Covers fundamentals of X-ray computer tomography, ultrasonic imaging, nuclear imaging, and magnetic resonance imaging (MRI), as well as more general concepts required for these, such as linear systems theory and the Fourier transform. Popular techniques for the visualization, segmentation, and analysis of medical image data are discussed, as well as applications of medical imaging, such as image-guided intervention. The course is appropriate for computer science, biomedical engineering, and electrical engineering majors.

Bulletin Link
Prerequisite Prerequisites: AMS 161 or MAT 127 or 132; AMS 210 or MAT 211
Course Outcomes
  • An understanding of the mathematical, physical, and computational principles underlying modern medical imaging systems
  • An ability to apply techniques for the visualization, segmentation, and analysis of medical image data
  • An awareness of the applications of medical imaging
Textbook

Fundamentals of Medical Imaging, 2nd ed. by Paul Suetens; Cambridge Univ Press, (ISBN #521519152)
Major Topics Covered in Course
  • Introduction and overview. Historical aspects and application scenarios
  • Linear systems and Fourier Theory and Image operations
  • Filters, Multi-scare image enhancement
  • X-ya physics, Detectors and image acquisition, scanner technology
  • Reconstruction mathematics, Reconstruction algorithms
  • Image quality issues, Computational aspects
  • MRI physics, Interaction with tissue
  • MRI reconstruction algorithms, Pulse sequences
  • Image quality issues, Computational aspects, advanced concepts
  • Nuclear imaging physics, Radionuclides, Detectors and image acquisition, SPECT, PET
  • Reconstruction mathematics for iterative schemes, Reconstruction algorithms and computational aspects
  • Ultrasound physics, detectors, and data acquisition, Image generation, 3D reconstruction
Laboratory
Course Webpage

CSE377