Course Catalog 2011-2012
International

Basic Pori International Postgraduate Open University

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Course Catalog 2011-2012

SGN-3507 Introduction to Medical Image Processing, 5 cr

Person responsible

Uygar Tuna, Ulla Ruotsalainen

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
Assignment



 



 



 
 24 h/per
 16 h/per
 4 h/per



 
SGN-3507 2011-01 Tuesday 10 - 12, TB216
Thursday 10 - 12, TB216

Requirements

To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

The objective of the course is that the student will have skills and knowledge on tomography imaging in medicine. The students will have basic knowledge on multimodality image registration and segmentation methods.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Basic principles of the image reconstruction methods in tomography imaging. This includes Radon tranformation, BP, FBP and MLEM.  OSEM and noise penalization (one step late and MRP)   Mathematical proofs of the reconstruction methods. 
2. Image coregistration for medical use, problems and image fusion techniques.     
3. Structural imaging versus functional imaging in the view of automatic analysis of the image sets.     
4. Archiving of biological and medical images: technical, ethical and legal aspects.     

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   Medical Image Processing, Reconstruction and Restoration   Jiri Jan   0-8247-5849-8          English  

Prerequisites

Course Mandatory/Advisable Description
SGN-1158 Introduction to Signal Processing, short version Mandatory    
SGN-1159 Introduction to Signal Processing, long version Mandatory    
SGN-1201 Signal Processing Methods Advisable    
SGN-1251 Signal Processing Applications Advisable    
SGN-2500 Introduction to Pattern Recognition Advisable    
SGN-2506 Introduction to Pattern Recognition Advisable    
SGN-3010 Digital Image Processing I Mandatory    
SGN-3016 Digital Image Processing I Mandatory    

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
SGN-3507 Introduction to Medical Image Processing, 5 cr SGN-3506 Introduction to Medical Image Processing, 4 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-3507 2011-01 The objective of the course is that the student will have skills and knowledge on tomography imaging in medicine. The students will have basic knowledge on multimodality image registration and segmentation methods.        

Last modified07.05.2012