ELEC 4820 Medical Imaging

 

Time:          Mondays 4:30-5:50PM and Fridays 12:00-1:20PM

Room:         G002, CYT Building

Instructor:  Weichuan YU

 

 

Course overview:

This course introduces medical imaging methods to senior undergraduate and graduate students. It covers the following topics:  radiation, radiography, computer tomography, radioisotope imaging, diagnostic ultrasound imaging, magnetic resonance imaging, and applications of different imaging modalities.

 

This course requires basic knowledge of linear algebra, calculus, and geometry.  Familiarity with a programming language such as MATLAB is needed. 

 

Prerequisite: ELEC2100

 

A tentative schedule is described as follows. More materials (lecture notes, homework assignment, etc.) can be found at http://canvas.ust.hk

 

Week 1           Introduction

Week 2           X-Ray Projection Imaging

Week 3           Computed Tomography I

Week 4           Computed Tomography II

Week 5           Nuclear Medicine Imaging I

Week 6           Nuclear Medicine Imaging II

Week 7           Review and Mid-term Exam

Week 8           Ultrasound Imaging I

Week 9           Ultrasound Imaging II

Week 10         Magnetic Resonance Imaging I

Week 11         Magnetic Resonance Imaging II

Week 12         Magnetic Resonance Imaging III

Week 13         Final Review

 

 

Grading:

Homework     20%   

Mid-Term      30%

Final Exam    50%

 

 

 

 

Course Text Book:

Medical Imaging: Signals and Systems, by Jerry Prince and Jonathan Links,

Pearson Prentice Hall, ISBN 0-13-065353-5

 

 Additional Course Resources:

1.      The Essential physics of Medical Imaging,  2nd  Edition

 J. T. Bushberg, J. A. Seibert, E. M. Leidholdt, and J. M. Boone,

 Lippencott Williams & Wilkins, 2002

2.      The physics of Medical Imaging

Steve Webb (ed.), Institute of physics publishing, 1988

3.      The Basics of MRI --- online book with many video clips

      Joseph P. Hornak   http://www.cis.rit.edu/htbooks/mri/

4.      Diagnostic Ultrasound Imaging: Inside Out

Thomas L. Szabo, Elsevier Science, 2004