This is a course on principles of biomedical imaging. The course is focused for students of BME and NEURO majors in LIFE MSc program. The key learning method at this course is solving various imaging problems on a computer; the lectures give some background info and cover essential maths & physics.To pass the course, the student needs to
- Solve enough exercise problems. There are six exercise rounds, and answer sheets must be timely returned for all rounds.
- Return five course journals.
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.
The course is designed for students of BME and NEURO majors. As prerequisites, we assume a BSc degree from Engineering Physics or Bioinformation Technology and experience in mathematical problem solving using computer. Also computer science and applied maths BScs with some physics background should do fine. With suitable background, the planned workload is 130 hours. Please see also the official course description in Oodi.
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.
Contents and structureIntro: Basic concepts of imaging & pinhole camera
Matti Stenroos & Pauliina Hirvi, teaching 10.9.–16.9., DL 17.9. at 10h15
Part I: Linear imaging system: Ill-posed problem & bioelectric source imaging,
Matti & Jaakko Vallinoja, teaching 17.9.–30.9., DLs 1.10. & 5.10.
Part II: Linear elecrophysiological neuroimaging: time-series estimation
Matti & Jaakko, teaching 1.10.–14.10., DLs 15.10. & 19.11.
Part III: Xray and computed tomography
Ilkka Nissilä & Tuomas Mutanen, teaching 15.10.–4.11., DLs 5.11. & 9.11.
Part IV: Magnetic resonance imaging
Baran Aydogan, Mikko Nyrhinen, Heikki Sinisalo, teaching 5.11.–25.11., DLs 3.12. & 7.12.
Welcome to the course!
Matti Stenroos (head teacher, concept designer)