Course Information
Course title
 醫學影像重建與分析
Medical Image Reconstruction and Analysis 
Semester
 106-2 
Designated for
 VARIOUS PROGRAM  PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE  
Instructor
 黃宣銘 
Curriculum Number
 MDI7037 
Curriculum Identity Number
 458 M0370 
Class
  
Credits
 2.0 
Full/Half
Yr.
 Half 
Required/
Elective
 Elective 
Time
 Monday 2,3(9:10~11:10) 
Room
 基醫1214 
Remarks
 Restriction: MA students and beyond
The upper limit of the number of students: 15.
The upper limit of the number of non-majors: 8. 
  
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
 Table of Core Capabilities and Curriculum Planning
Course Syllabus
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Course Description

介紹基本醫學影像重建，例如電腦斷層、單光子電腦斷層、正子斷層和核磁共振造影等，並介紹基本醫學影像分析方法。藉由寫程式來實現所學之影像重建和分析方法。 

Course Objective
 了解基本影像重建與分析方法，培養學生具有程式能力且能實現簡單影學影像重建與分析方法，例如X光、電腦斷層、單光子電腦斷層、正子斷層和核磁共振造影等。 
Course Requirement
 1. 修過醫學影像處理佳。
2. 修過程式設計課程佳(C, C++, Java, Python, Matlab, …etc)
 
Student Workload (expected study time outside of class per week)
  
Office Hours
 Mon. 09:10~11:10 
Designated reading
 待補 
References
 1. R.C. Gonzalez, R.E. Woods, Steven L. Eddins, Digital Image Processing Using MATLAB, 2nd edition, Prentice Hall, 2009.
2. Simon R. Cherry, James A. Sorenson and Michael E. Phelps, Physics in Nuclear Medicine, 4th edition, Saunders, 2012. 
Grading
  
No.
Item
%
Explanations for the conditions
1. 
 作業 
30% 
  
2. 
 期中報告 
30% 
  
3. 
 期末報告 
40% 
  
 
Progress
Week
Date
Topic
第1週
 2/26  Introduction 
第2週
 3/05  Programming language I 
第3週
 3/12  Programming language II 
第4週
 3/19  Programming language III 
第5週
 3/26  Medical imaging reconstruction I 
第6週
 4/02  Medical imaging reconstruction II 
第7週
 4/09  Medical imaging reconstruction III 
第8週
 4/16  Medical imaging reconstruction IV (MRI) 
第9週
 4/23  Midterm project presentations 
第10週
 4/30  Texture analysis 
第11週
 5/07  Statistical analysis 
第12週
 5/14  Wavelet analysis 
第13週
 5/21  Kinetic modelling analysis I 
第14週
 5/28  Kinetic modelling analysis II 
第15週
 6/04  Machine learning I 
第16週
 6/11  Machine learning II 
第17週
 6/18  Simulation and reconstruction tools