BMT-55006 Introduction to Medical Image Processing, 5 cr


Kaisa Liimatainen, Olli Yli-Harja


Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
BMT-55006 2018-01 4 Kaisa Liimatainen
Olli Yli-Harja
To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.


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.


Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
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.     


Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
Book   Medical Image Processing, Reconstruction and Restoration   Jiri Jan   0-8247-5849-8       No   
Lecture slides   SNG-55006 Lecture slides         Available in Moodle   Yes   


Opintojakso P/S Selite
SGN-11000 Signaalinkäsittelyn perusteet Mandatory   1
SGN-11007 Introduction to Signal Processing Mandatory   1
SGN-12001 Johdatus kuvan- ja videonkäsittelyyn Advisable   2
SGN-12007 Introduction to Image and Video Processing Advisable   2
SGN-13006 Introduction to Pattern Recognition and Machine Learning Advisable    

1 . One of these or or equivalent knowledge.

2 . One of these or or equivalent knowledge..


Opintojakso Vastaa opintojaksoa  Selite 
BMT-55006 Introduction to Medical Image Processing, 5 cr SGN-55006 Introduction to Medical Image Processing, 5 cr  

Päivittäjä: Väisänen Outi, 13.03.2018