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Course Catalog 2012-2013
BME-2636 Medical Image Analysis, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Hannu Eskola
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Accepted assignments and final exam.
Completion parts must belong to the same implementation
Learning outcomes
Student can recognize different image processing methods applicable for each type of clinical image. Student can explain most common image analysis methods, which are used for clinical diagnosis. Student can perform basic medical image analysis with Matlab.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Fundamentals of medical images and of medical image processing. | ||
| 2. | Image segmentation methods. | ||
| 3. | Image analysis methods: Tissue characterization, 4D image analysis. | ||
| 4. | Visualization methods. | ||
| 5. | Image registration methods. |
Evaluation criteria for the course
The final grade of the course is determined based on the assessment of all part of the course. The weighting factor of each part is given at the beginning of the course. Grades 1-2: Learning outcomes have been achieved. Satisfactory command in core content of the course. Grades 3-4: Some learning outcomes have been exceeded qualitatively or quantitatively. Good command in core content and complementary knowledge of the course. Good or very good marks from all parts of the course. Grade 5: Most of the learning outcomes have been exceeded. Deep command in the whole content of the course. Almost maximum performance in all parts of the course.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Digital Image Processing for Medical Applications | Dougherty, G. | English | ||||
| Lecture slides | Lecture notes. | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| BME-3206 Medical Imaging Methods | Advisable | |
| SGN-3016 Digital Image Processing I | Advisable |
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 |
| Lectures Other contact teaching |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |