Instructor: 李夢麟 Meng-Lin Li



Course description:

This is an introductory course of biomedical “imaging” (i.e., designing a

camera which is capable of seeing through human body and small animals) with

emphasis on the signals and systems aspects. It will cover the most important

imaging modalities - projection radiography, X-ray computed tomography,

nuclear medicine imaging, ultrasound imaging, and magnetic resonance imaging.

Basic principles, instrumentation, image characteristics, clinical

applications, and recent progress of these imaging modalities will be

discussed. The students will learn how to apply the knowledge learned in the

course "Signals and Systems" to biomedical imaging.



Prerequisites:

Signals and Systems (at least knowledge of Fourier transform and sampling),

Programming (for computer homework), or consent of the instructor



Topics:

1. Introduction

2. Ultrasound Imaging

3. Magnetic Resonance Imaging

4. X-Ray Imaging

5. X-Ray Computed Tomography

6. Nuclear Medicine Imaging:

Positron Emission Tomography (PET)

Single Photon Emission Computed Tomography (SPECT)

7. Site Visit: We will arrange visits to NTHU Brain

Research Center (and perhaps Mackay Memorial Hospital, Hsinchu).



Textbook:

1. Class notes and related materials will be announced on the NTHU EECLASS

elearning system (http://eeclass.nthu.edu.tw/).



Tentative lecture method:



Flipped classroom

(Powerpoint lecture slides + Asynchrounous on-line lectures + In class Q&A)



References:

1. P. Suetens, “Fundamentals of Medical Imaging,” Cambridge University Press,

2002. (in NTHU library, you can locate the newest version)

2. J. L. Prince, and J. links, “Medical Imaging Signals and Systems,”

Prentice Hall, 2005.

3. A. Macovski, “Medical Imaging,” Prentice Hall, 1983.

4. A. Webb, “Introduction to Biomedical Imaging,” IEEE Press, 2003.

5. K. K. Shung, M. B. Smith, and B. Tsui, “Principles of Medical Imaging,”

Academic Press, 1992.



Note:

It is difficult to find a single textbook which details all of the

aforementioned course materials. Accordingly, we will draw upon other

references (book chapters, research articles, etc.) and internet resources as

needed.



Grading:

60% Computer (MATLAB) and Handwriting Homework

40% Midterm



(Note that these weights are approximate; we reserve the right to change them

later.)



Schedule:

TBA