Course Catalog 2009-2010
International

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-3507 Introduction to Medical Image Processing, 5 cr

Person responsible

Ulla Ruotsalainen

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 3 :
Tuesday 10 - 12, TB223
Thursday 10 - 12, TB222

 
 


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

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Learning outcomes

The outcome of the course is that the students will have skills and knowledge on the tomography imaging in the field of medicine. Moreover, the students will gain basic knowledge on multimodal image registration and image segmentation.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Basic principles of the image reconstruction methods in tomography imaging. Radon transformation, Backprojection (BP), Filtered Backprojection (FBP), Maximum Likelihood Expectation Maximization (MLEM).   Ordered Subset EM, noise penalizations (one step late and MRP)  Mathematical derivations 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-1107 Introductory Signal Processing Mandatory    
SGN-1200 Signal Processing Methods Advisable    
SGN-1250 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

  Description Methods of instruction Implementation
Implementation 1        


Last modified19.01.2010
ModifierUygar Tuna