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Course Catalog 2011-2012
SGN-3507 Introduction to Medical Image Processing, 5 cr |
Person responsible
Uygar Tuna, Ulla Ruotsalainen
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
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Learning outcomes
The objective of the course is that the student will have 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. | 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. |
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Medical Image Processing, Reconstruction and Restoration | Jiri Jan | 0-8247-5849-8 | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| SGN-1158 Introduction to Signal Processing, short version | Mandatory | |
| SGN-1159 Introduction to Signal Processing, long version | Mandatory | |
| SGN-1201 Signal Processing Methods | Advisable | |
| SGN-1251 Signal Processing Applications | Advisable | |
| SGN-2500 Introduction to Pattern Recognition | Advisable | |
| SGN-2506 Introduction to Pattern Recognition | Advisable | |
| SGN-3010 Digital Image Processing I | Mandatory | |
| SGN-3016 Digital Image Processing I | Mandatory |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| The objective of the course is that the student will have skills and knowledge on tomography imaging in medicine. The students will have basic knowledge on multimodality image registration and segmentation methods. |