SGN-55006 Introduction to Medical Image Processing, 5 cr
Vastuuhenkilö
Sari Peltonen
Opetus
| Toteutuskerta | Periodi | Vastuuhenkilö | Suoritusvaatimukset |
| SGN-55006 2016-01 | 4 |
Sari Peltonen Defne Us |
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-11006 Basic Course in Signal Processing | Mandatory | 1 |
| SGN-12000 Kuvan- ja videonkäsittelyn perusteet | Mandatory | 2 |
| SGN-12006 Basic Course in Image and Video Processing | Mandatory | 2 |
| SGN-13000 Johdatus hahmontunnistukseen ja koneoppimiseen | Advisable | 3 |
| SGN-13006 Introduction to Pattern Recognition and Machine Learning | Advisable | 3 |
1 . SGN-11000 or SGN-11006 are mandatory. Alternatively, equivalent knowledge.
2 . SGN-12000 or SGN-12006 are mandatory. Alternatively, equivalent knowledge.
3 . SGN-13000 or SGN-13006 are advisable. Alternatively, equivalent knowledge.
Vastaavuudet
| Opintojakso | Vastaa opintojaksoa | Selite |
| SGN-55006 Introduction to Medical Image Processing, 5 cr | SGN-3507 Introduction to Medical Image Processing, 5 cr | |
| SGN-55006 Introduction to Medical Image Processing, 5 cr | BMT-55006 Introduction to Medical Image Processing, 5 cr |