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SGN-3506 INTRODUCTION TO MEDICAL IMAGE PROCESSING, 4 cr
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Courses persons responsible
Ulla Ruotsalainen
Lecturers
Ulla Ruotsalainen
Lecturetimes and places
Per III: Tuesday 10 - 12, TB223
Per III: Thursday 10 - 12, TB222
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | 4 h/week | - | - | - |
| Exercise | - | - | 2 h/week | - | - | - |
| Assignment | - | - | 18 h/per | - | - | - |
| Exam | ||||||
Objectives
The objective of the course is to provide basic knowledge of medical image processing in terms of related problems and methods for a student who has basic knowledge of signal processing.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Basic principles of the image reconstruction methods in tomography imaging. | ||
| 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. |
Requirements for completing the course
To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.
Evaluation criteria for the course
Prerequisites
| Code | Course | Credits | M/R |
| SGN-1107 | SGN-1107 Introductory Signal Processing | 4 | Mandatory |
| SGN-1200 | SGN-1200 Signal Processing Methods | 4 | Mandatory |
| SGN-1250 | SGN-1250 Signal Processing Applications | 4 | Recommendable |
| SGN-2500 | SGN-2500 Introduction to Pattern Recognition | 4 | Recommendable |
| SGN-2506 | SGN-2506 Introduction to Pattern Recognition | 4 | Recommendable |
| SGN-3010 | SGN-3010 Digital Image Processing I | 5 | Mandatory |
| SGN-3016 | SGN-3016 Digital Image Processing I | 5 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
Either SGN-1107 or SGN-1200 is required. Either SGN-3010 or SGN-3016 is required.
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
Scaling
| Methods of instruction | Hours |
| Lectures | 48 |
| Exercises | 36 |
| Assignments | 18 |
| Other scaled | Hours |
| Exam/midterm exam | 3 |
| Total sum | 105 |
| Last modified | 18.04.2007 |
| Modified by | Sari Peltonen |