|
SGN-3507 Introduction to Medical Image Processing, 5 op |
Ulla Ruotsalainen
Luentoajat ja -paikat | Kohderyhmä, jolle suositellaan | |
Toteutus 1 |
|
To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.
Osasuoritusten pitää liittyä samaan toteutuskertaan
-
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.
Sisältö | Ydinaines | Täydentävä tietämys | Erityistietämys |
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. |
Tyyppi | Nimi | Tekijä | ISBN | URL | Painos,saatavuus... | Tenttimateriaali | Kieli |
Kirja | Medical Image Processing, Reconstruction and Restoration | Jiri Jan | 0-8247-5849-8 | Englanti |
Opintojakso | P/S | Selite |
SGN-1107 Introductory Signal Processing | Pakollinen | |
SGN-1200 Signaalinkäsittelyn menetelmät | Suositeltava | |
SGN-1250 Signaalinkäsittelyn sovellukset | Suositeltava | |
SGN-2500 Johdatus hahmontunnistukseen | Suositeltava | |
SGN-2506 Introduction to Pattern Recognition | Suositeltava | |
SGN-3010 Digitaalinen kuvankäsittely I | Pakollinen | |
SGN-3016 Digital Image Processing I | Pakollinen |
Opintojakso | Vastaa opintojaksoa | Selite |
|
|
Kuvaus | Opetusmuodot | Toteutustapa | |
Toteutus 1 |