Medical Image Processing

Spring 2019

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: Thursday 2-4

Location:

Lectures: 工學院209教室,  and Labs: 工學院209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

2/21

Introduction, Image Formation

 

 

2

2/28

Holiday. No class.

 

 

3

3/7

Image Formation, Interaction of Electromagnetic Radiation with Matter in Medical Imaging 

 

 

4

3/14

Lab 1

 HW1 given

Lab HW1 given

5

3/21

Medical Imaging Modalities: X-Ray Imaging, Magnetic Resonance Imaging

 

 

6

3/28

Lab 2

 HW2 given

Lab HW2 given

7

4/4

Holiday. No class.

 

 

8

4/11

Medical Imaging Modalities: Magnetic Resonance Imaging

 

 

9

4/18

Midterm exam

 

 

10

4/25

Image Reconstruction

 

 

11

5/2

Image Processing and Enhancement

 

 

12

5/9

Lab 3

 HW3 given

Lab HW3 given

Project given

13

5/16

Image Segmentation

 

 

14

5/23

Image Representation, Analysis, and Classification

 

 

15

5/30

Lab 4

 HW4 given

Lab HW4 given

16

6/6

Image Registration

 

 

17

6/13

Project demo, Lab

Project due 

 

18

6/20

Project demo, Lab

 

 

Grade:

Textbook:

Medical Image Analysis, Second Edition, by Atam P. Dhawan, IEEE Press, 2011. 全華圖書代理