Study Guide 2015-2016

SGN-55006 Introduction to Medical Image Processing, 5 cr

Person responsible

Sari Peltonen

Lessons

Implementation 1: SGN-55006 2015-01

Study type P1 P2 P3 P4 Summer
Lectures
Excercises
Assignment


 


 


  		 24 h/per
 16 h/per
 8 h/per


 

Lecture times and places: Tuesday 10 - 12 TB224 , Thursday 14 - 16 TB224

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

Learning Outcomes

After completing the course, the student has 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. Real world constraints in medical imaging.     
3. Image quality measures and perfromance measures for PET Scanners. Standards for image formats.     
4. Image coregistration for medical use, problems and image fusion techniques. Image segmentation.     
5. Structural imaging versus functional imaging in the view of automatic analysis of the image sets.     

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Medical Image Processing, Reconstruction and Restoration   Jiri Jan   0-8247-5849-8       No   
Lecture slides   SNG-55006 Lecture slides         Available in Moodle   Yes   

Prerequisites

Course Mandatory/Advisable Description
SGN-13000 Johdatus hahmontunnistukseen ja koneoppimiseen Advisable   1
SGN-13006 Introduction to Pattern Recognition and Machine Learning Advisable   1
SGN-12000 Kuvan- ja videonkäsittelyn perusteet Mandatory   2
SGN-12006 Basic Course in Image and Video Processing Mandatory   2
SGN-11000 Signaalinkäsittelyn perusteet Mandatory   3
SGN-11006 Basic Course in Signal Processing Mandatory   3

1 . SGN-13000 or SGN-13006 are advisable. Alternatively, equivalent knowledge.

2 . SGN-12000 or SGN-12006 are mandatory. Alternatively, equivalent knowledge.

3 . SGN-11000 or SGN-11006 are mandatory. Alternatively, equivalent knowledge.



Correspondence of content

Course Corresponds course  Description 
SGN-55006 Introduction to Medical Image Processing, 5 cr SGN-3507 Introduction to Medical Image Processing, 5 cr  

Last modified 13.02.2015