1
课程详述
COURSE SPECIFICATION
以下课程信息可能根据实际授课需要或在课程检讨之后产生变动。如对课程有任何疑问，请
联系授课教师。
The course information as follows may be subject to change, either during the session because of unforeseen
circumstances, or following review of the course at the end of the session. Queries about the course should be
directed to the course instructor.
1.
课程名称 Course Title
医学图像处理 Medical image processing
2.
授课院系
Originating Department
生物医学工程系 Department of Biomedical Engineering
3.
课程编号
Course Code
BMEB316
4.
课程学分 Credit Value
3
5.
课程类别
Course Type
专业选修课 Major Elective Courses
6.
授课学期
Semester
秋季 Fall
7.
授课语言
Teaching Language
中英
Chinese and English
8.
授课教师、所属学系、联系方
式（如属团队授课，请列明其
他授课教师）
Instructor(s), Affiliation&
Contact
（For team teaching, please list
all instructors）
李依明，生物医学工程系
Yiming Li,Biomedical Engineering
Liym2019@sustech.edu.cn
9.
实验员/助教、所属学系、联系
方式
Tutor/TA(s), Contact
待公布 To be announced
10.
选课人数限额(可不填)
Maximum Enrolment
（Optional）
2
11.
授课方式
Delivery Method
讲授
Lectures
习题/辅导/讨论
Tutorials
实验/实习
Lab/Practical
其它(请具体注明)
Other（Please specify）
总学时
Total
学时数
Credit Hours
32
32
64
12.
先修课程、其它学习要求
Pre-requisites or Other
Academic Requirements
无 None
13.
后续课程、其它学习规划
Courses for which this
course is a pre-requisite
无 None
14.
其它要求修读本课程的学系
Cross-listing Dept.
无 None
教学大纲及教学日历 SYLLABUS
15.
教学目标 Course Objectives
介绍数字图像基本概念和处理方法，介绍医学图像的特点及医学图像标准，以案例的形式介绍典型医学图像问题和处理方
法
Introduce the fundamental concepts and basic processing methods. Introduce the features of medical
16.
预达学习成果 Learning Outcomes
熟悉数字图像基本概念，掌握基本处理方法。了解医学图像的特点和图像标准，并通过实验与课程项目体验医学图像处理
具体处理过程。
Understand the fundamental concepts of digital images, master the basic processing methods.
Get known about the features of medical images and the standards.
Experience the typical processing of medical images via experiments and projects
3
17.
课程内容及教学日历 （如授课语言以英文为主，则课程内容介绍可以用英文；如团队教学或模块教学，教学日历须注明
主讲人）
Course Contents (in Parts/Chapters/Sections/Weeks. Please notify name of instructor for course section(s), if
this is a team teaching or module course.)
Scheduled lecture topics:
Lecture 1. 概述/Introduction （2 学时）
医学成像系统；医学图像处理与分析；医学图像应用研究
Medical imaging system; Medical image processing and analysis; Medical image applications
Lecture 2. 图像基础/ Basics for Image Formation （3 学时）
人眼的成像基础；电子探测器；采样；量化；噪声；相关数学工具
Image formation by the human eyes; Electronic detectors; Sampling; Quantization; Noise; Related Mathematical tools
Lecture 3. 图像增强技术/Image Enhancement（3 学时）
灰度变换函数; 灰度直方图; 空间滤波器; 卷积; 平滑空间滤波器；锐化空间滤波器
Grey scale transformations; Histogram; Spatial filter; Convolution operator; Smoothing spatial filters, Sharpening
spatial filters
Lecture 4. 频域变换/ Frequency domain transformation（3 学时）
2 维傅里叶变换和 2 维线性移不变系统；频域滤波基础；频域平滑滤波器；频域锐化滤波器
2D Fourier transform and 2D linear shift-invariant system；Basics of filtering in the Frequency Domain; Image
smoothing using frequency Domain filters; Image sharpening using frequency domain filters
Lecture 5. 几何变换和图像配准 Geometric transformation and Image registration（4 学时）
刚体变换；放射变换；透视变换；非线性变换；图像卷绕；插值；图像配准方法
Rigid Body Transformation; Affine Transformation; Perspective Transformation; Nonlinear Transformation; Image
Warping; Methods for image registration
Lecture 6. 图像复原/ Image restoration（2 学时）
噪声模型；空间滤波器复原；频域滤波器复原；维纳滤波
Noise model; Restoration using spatial filter; Restoration using frequency domain filter; Wiener filter
Lecture 7. 图像分割 1/ Image segmentation 1（2 学时）
图像分割基础；边缘分割；阈值化
Fundamentals; Edge Detection; Thresholding
Lecture 8. 图像分割 2/ Image segmentation2（2 学时）
形态学图像处理，灰度形态学；分水岭分割
Morphological Image Processing; Gray-scale morphology; Watershed Segmentation
Lecture 9. 三维和彩色可视化/ 3D and color visualization（2 学时）
相机光学；最大光强投影；彩色模型；彩色变换；彩色图像处理
Camera Optics; Maximum Intensity Projection; Color Models; Color Transformations; Color Image Processing
Lecture 10. 图像压缩/Image Compression（2 学时）
编码冗余；保真度准则；图像格式；基本的图像压缩方法
Coding Redundancy; Fidelity Criteria; Image Compression Models; Image Formats; Basic Compression Methods;
Lecture 11. 显微图像复原/Microscopic image restoration（2 学时）
显微图像成像原理； 点扩散函数；去卷积
Microscopic image formation; Point Spread Function; Deconvolution
Lecture 12. 深度学习/Deep Learning（3 学时）
人工神经网络；正向传播；梯度递减；代价函数；反向传播
Artificial Neural Network; Forward Propagation; Gradient Descent; Loss Function; Backward propagation
Lecture 13. 报告/Presentation (2 学时)
4
Experiments：
Experiment 1. (Week 9) Basics for MATLAB Image Processing
Experiment 2. (Week 10) Geometric transformation, intensity transformation and spatial filtering
Experiment 3. (Week 11) Spatial domain and frequency domain processing
Experiment 4. (Week 12) Image segmentation- Thresholding and edge detection
Experiment 5. (Week 13) Morphological image processing and watershed segmentation
Experiment 6. (Week 14) Brain MRI image registration
Experiment 7. (Week 15) Microscopic image restoration
Experiment 8. (Week 16) Deep Learning
18.
教材及其它参考资料 Textbook and Supplementary Readings
1. Rafael C. Gonzalez, Richard E. Woods . Digital Image Processing(third edition). 电子工业出版社.
2. Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins. Digital Image processing using Matlab (second edition). 电子工业出
版社.
3. Paul Suetens. Fundamentals of Medical Imaging(2nd Edition). Cambridge University Press. 2009
课程评估 ASSESSMENT
19.
评估形式
Type of
Assessment
评估时间
Time
占考试总成绩百分比
% of final
score
违纪处罚
Penalty
备注
Notes
出勤 Attendance
5
课堂表现
Class
Performance
5
小测验
Quiz
课程项目 Projects
40
平时作业
Assignments
期中考试
Mid-Term Test
期末考试
Final Exam
30
期末报告
Final
Presentation
20
其它（可根据需要
改写以上评估方
式）
Others (The
above may be
modified as
necessary)
20.
记分方式 GRADING SYSTEM
A. 十三级等级制 Letter Grading
B. 二级记分制（通过/不通过） Pass/Fail Grading
5
课程审批 REVIEW AND APPROVAL
21.
本课程设置已经过以下责任人/委员会审议通过
This Course has been approved by the following person or committee of authority
