Advanced MR Physics: General Methods

The course deals with theoretical principles for advanced MRI techniques of relevance in clinics or research. Central topics are signal processing, Fourier transform, K-space data collection including non-Cartesian methods, methods for suppressing signals from fat, artifact reduction methods (for instance metal), and fast recording techniques (parallel imaging, multiband, etc.). Course content will be adapted to changes as a result of technological developments.

A candidate with a completed course must have obtained the following learning outcomes: The candidate:

Knowledge:

• Understands MRI physics explained by mathematical models
• Can explain advanced MR techniques commonly available with today's standard MR equipment

Skills:

• Be able to use mathematical models to explain MRI theory
• Be able to apply their theoretical basis to understand how advanced MRI techniques will work on clinical systems

General competence:

• Be able to communicate independent work and master the professional expression
• Be able to assess whether new MR methods and techniques are feasible
• Have an overview of the most important and common advanced technologies

Lectures on campus and group work with mandatory submissions. Learning resources are made available via the web (E-learning platform): articles, links, short films (animations, lectures, etc.), self-tests, answers to assignments and discussion forums with students and teachers.