FYSS6430 Röntgen Tomography and Image Analysis (4 cr)
Study level:
Advanced studies
Grading scale:
Pass - fail
Language:
English, Finnish
Responsible organisation:
Department of Physics
Curriculum periods:
2017-2018, 2018-2019, 2019-2020
Description
Content
Structure and operation of X-ray tomographic devices; image reconstruction and artifact reduction; basics of digital image processing; noise removal; segmentation; image-based measurements; visualization
Completion methods
Discussions and interactive events, project work, learning diary, assignments
Assessment details
The student is required to write a laboratory report and to complete at least 50% of the exercises.
Learning outcomes
At the end of this course, students will be able to explain how X-ray tomographic devices function as well as use such devices. Students will be able to perform tomographic reconstruction and analyze three-dimensional images with suitable tools and algorithms. They will also be able to plan image-based measurements and evaluate uncertainty in the measurements.
Additional information
Spring semester 1st period, every year.
Description of prerequisites
The student knows how to use statistical analysis to present data and a computer software meant for numerical calculation (for example MATLAB).
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (4 cr)
Type:
Participation in teaching
Grading scale:
Pass - fail
Language:
English, Finnish