This is a course on principles of biomedical imaging. The course is focused primarily for students of Biomedical Engineering major in LIFE MSc program. The key learning method at this course is solving various core imaging problems on a computer; the lectures and other materials are there to prepare for the exercise, giving some background and covering essential maths & physics. To pass the course, the student needs to
- Solve enough exercise problems. There are five exercise rounds, and answer sheets must be timely returned for all rounds.
- Return five learning journals (see Assignments).
At the end of the course, the students shall have familiarized themselves with core concepts and theory of imaging, applied these concepts by analyzing imaging systems and estimating/reconstructing various images, and meanwhile learned problem solving, collaborative working, algorithmic thinking and mathematical programming.
As prerequisites, we assume that students have a BSc degree from Engineering Physics, Bioinformation Technology, Computer Science, or other quite mathematical program, and that students have experience and/or strong motivation in problem solving using computer. With suitable background, the planned workload is 130 hours. That is, in addition to lectures, about 20 hours of work per exercise + related journal.
Due to change of head teacher, the course has been completely redesigned, and the course information given in Oodi is not valid. Importantly, there is no end exam; the grade comes from exercises (80%) and journals (20%).
The exercises and related lectures are produced by different teacher-teams that are coached by the head teacher. Each team takes the perspective of one imaging modality (see Schedule and contents).
The exercise & lecture topics are
- Basic concepts of imaging, linear imaging system, and electromagnetic source imaging
- X-ray imaging: 2D and 3D, image reconstruction in computed tomography
- Estimation of time series and connectivity in spatiotemporal elecrophysiological neuroimaging
- Ultrasound imaging, including lab work at University of Helsinki
- Magnetic Resonance Imaging
Welcome to the course!
Matti Stenroos (head teacher, concept designer)