Magnetic Resonance Imaging I – Basic Principles and Applications
Learning Outcomes
Participants will learn the basic principles and the instrumentation of magnetic resonance imaging (MRI). Basic measurement techniques (MR-sequences) and the related image contrast mechanisms will be studied. The mathematical framework is developed to describe image encoding, the point-spread function (PSF), signal-to-noise ratio and contrast mechanism of MRI. Python exercises and homework are used to deepen the understanding of the basic concepts.
Content
History of MRI, physical principle, Nuclear Magnetic Resonance (NMR) Effect, relaxation phenomena and chemical shift, spatial localisation and imaging, k-space formalism, basic pulse sequences (gradient and spin echo), contrast manipulation, fast imaging sequences, motion compensation, instrumentation and safety, signal-to-noise ratio, image-quality, artefacts, clinical applications and research.
- Trainer/in: Christine Koschel
- Trainer/in: Axel Krause
- Trainer/in: Christina Mittag
- Trainer/in: Tobias Richard Schäffter
- Trainer/in: Lukas Julius Schneidewind
- Trainer/in: Peter Seufert
- Trainer/in: Vivian Waldheim