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.
- Write five key concept texts and return them timely
Write one learning journal at the end of the course.*
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 12.9.–18.9., DL 19.9. at 10h15
Part I: Linear imaging system: Ill-posed problem & bioelectromagnetic source imaging,
Matti Stenroos & Jaakko Vallinoja, teaching 19.9.–2.10., DLs 3.10 & 7.10.
Part II: Xray and computed tomography
Ilkka Nissilä & Tuomas Mutanen, teaching 3.10.–16.10., DL 17.10 & 28.10
Part III: Linear electrophysiological neuroimaging: time-series estimation
Matti & Jaakko, teaching 17.10.–6.11., DLs 7.11. & 11.11.
Part IV: Magnetic resonance imaging: physics
Koos Zevenhoven, Iiro Lehto, Marko Havu, teaching 7.11.–20.11., DLs 21.11. & 25.11.
Part V: Magnetic resonance imaging: imaging & lab
Baran Aydogan, Antti Mäkinen, Heikki Sinisalo, teaching 21.11.–4.12., DLs 5.12. & 9.12
Welcome to the course!
Matti Stenroos (head teacher, concept designer)