Spring 2021
Instructor:
殷堂凱, Department
of Computer Science and Information Engineering
Office hours: Monday 1:00-4:00 P.M.
Office: 綜合大樓200
Phone:
07-5919515
Email: tkyin@nuk.edu.tw
http://www.csie.nuk.edu.tw/~tkyin/
TA Office Hours: (時間地點,開學後與助教約定)
Time:
Lectures: Wednesday 5-7
Location:
Lectures: 工學院地下102教室, and Labs: 工學院200教室
Objectives:
1. Learning the basic steps in medical image processing.
2. Practicing medical image processing in the python environment.
Lecture content:
1. Medical image fundamentals
2. Medical image processing: Reconstruction, enhancement, segmentation, and registration
Lecture syllabus:
Lecture |
Date |
Subject |
Note |
|
1 |
2/24 |
Introduction, Image Formation |
|
|
2 |
3/3 |
Image Formation, Interaction of Electromagnetic Radiation with Matter in Medical Imaging |
|
|
3 |
3/10 |
Lab 1 |
HW1 given |
Lab HW1 given |
4 |
3/17 |
Medical Imaging Modalities: X-Ray Imaging, |
|
|
5 |
3/24 |
Medical Imaging Modalities: Magnetic Resonance Imaging |
|
|
6 |
3/31 |
Medical Imaging Modalities: Magnetic Resonance Imaging |
|
|
7 |
4/7 |
Lab 2 |
HW2 given |
Lab HW2 given |
8 |
4/14 |
Medical Imaging Modalities: Magnetic Resonance Imaging |
|
|
9 |
4/21 |
Midterm exam |
|
|
10 |
4/28 |
Image Reconstruction |
|
|
11 |
5/5 |
Image Processing and Enhancement |
|
|
12 |
5/12 |
Project 1: Set up the tools |
|
Project given |
13 |
5/19 |
Project 2: Report chosen methods and approaches |
|
|
14 |
5/26 |
Project 3: Discuss result 1 |
|
|
15 |
6/2 |
Project 4: Give result tables and figures |
|
|
16 |
6/9 |
Project 5: First writing, CVGIP 2021 |
|
|
17 |
6/16 |
Project demo, Lab |
Project due |
|
18 |
6/23 |
Project discussions, Lab |
|
|
Grade:
Textbook:
Medical Image Analysis, Second Edition, by Atam P. Dhawan, IEEE Press, 2011. 全華圖書代理