SGN-55006 Introduction to Medical Image Processing, 5 cr
Person responsible
Sari Peltonen
Lessons
| Implementation | Period | Person responsible | Requirements |
| 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. |
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-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.
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 | |
| SGN-55006 Introduction to Medical Image Processing, 5 cr | BMT-55006 Introduction to Medical Image Processing, 5 cr |