BMT-55006 Introduction to Medical Image Processing, 5 cr
Person responsible
Kaisa Liimatainen, Olli Yli-Harja
Lessons
| Implementation | Period | Person responsible | Requirements |
| BMT-55006 2019-01 | 4 |
Aliyu Musa Olli Yli-Harja |
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. |
Instructions for students on how to achieve the learning outcomes
To get the grade 3: student needs to know the learning outcomes on good level. To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.
Assessment scale:
Numerical evaluation scale (0-5)
Partial passing:
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-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..
Correspondence of content
| Course | Corresponds course | Description |
| BMT-55006 Introduction to Medical Image Processing, 5 cr | SGN-55006 Introduction to Medical Image Processing, 5 cr |