BMT-55006 Introduction to Medical Image Processing, 5 cr
Vastuuhenkilö
Olli Yli-Harja
Opetus
Toteutuskerta | Periodi | Vastuuhenkilö | Suoritusvaatimukset |
BMT-55006 2017-01 | 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. |
Osaamistavoitteet
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
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. |
Oppimateriaali
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 |
Esitietovaatimukset
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..
Vastaavuudet
Opintojakso | Vastaa opintojaksoa | Selite |
BMT-55006 Introduction to Medical Image Processing, 5 cr | SGN-55006 Introduction to Medical Image Processing, 5 cr |