PhD Courses in Denmark

Magnetic Resonance Imaging: From Physics to Physiology

Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines

This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.

Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from NorDoc member faculties. After the enrollment deadline, available seats will be allocated to applicants on the waiting list.


Learning objectives
A student who has met the objectives of the course will be able to:

1. Have insight into the bio-physical principles of magnetic resonance imaging
2. Understand the basis for magnetic resonance imaging of physiology
3. Identify magnetic resonance methods of potential relevance to own research
4. Analyse strengths and weaknesses of magnetic resonance methods for imaging of physiology
5. Put into perspective the use of magnetic resonance for imaging of disease


Content
Magnetic resonance imaging (MRI) is both a very active field of research and a routine diagnostic tool. As well as supplying high-resolution imaging with unrivalled anatomic soft-tissue contrast, MRI can provide multiple measures of tissue physiology. Research areas where MRI plays a key role include oncology, neuroscience, molecular imaging and many more. The curriculum of this one-week course includes: Bio-physical principles of MRI, imaging techniques and physiological imaging covering perfusion, flow, diffusion, functional and susceptibility weighted methods. The course will put emphasis on relating MRI methods to their use in research for physiological imaging in health and disease.


Participants
This course is relevant for students interested in and pursuing projects including advanced medical imaging. No qualifications are required, but a particular interest in magnetic resonance imaging and openness to mathematical concepts will be expected. We recommend that the students have studied basic MRI in the recommended material prior to the course.


Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:

Medical and Molecular Imaging

Clinical Cancer Research

Neuroscience


Language
English


Form
Lectures, discussions, exercises, questionnaires, MR scanner hands-on session


Course director
Adam Espe Hansen, professor, Department of Diagnostic Radiology, Rigshospitalet, adam.espe.hansen@regionh.dk

Henrik Larsson, professor, Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, henrik.bo.wiberg.larsson@regionh.dk

Ulrich Lindberg, M.Sc. Ph.D., Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, ulrich.lindberg@regionh.dk


Teachers
Adam Espe Hansen, professor, Department of Diagnostic Radiology, Rigshospitalet

Henrik Larsson, professor, Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet

Ulrich Lindberg, M.Sc. Ph.D., Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet

Jonathan Carlsen, associate professor, Department of Diagnostic Radiology, Rigshospitalet

Mark Bitsch Vestergaard, M.Sc. Ph.D., Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet

Thomas Lund Andersen, M.Sc. Ph.D., Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet

Niels Vejlstrup, MD Ph.D., Department of Cardiology, Rigshospitalet

Tim B. Dyrby, professor, Technical University of Denmark

Patrick M. Fisher, associate professor, Neurobiology Research Unit, Rigshospitalet


Dates
9-13 November 2026


Course location
Rigshospitalet, Blegdamsvej, Copenhagen


Registration
Please register before 1 October 2026


Expected frequency
Annual


Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment.