Magnetic Resonance Imaging
Magnetresonanztomographie/Bildgebende Systeme 2
Modules:
ME4412 T: | Medical Engineering Science (starting 2014) |
IT-Security | |
Computational Life Science (starting 2016) | |
Robotics and Autonomous Systems | |
Computer Science (starting 2014) | |
Medical Informatics | |
Entrepreneurship in Digital Technologies | |
ME4400 B: | Medical Engineering Science (prior to 2014) |
ME4020: | Computer Science (prior to 2014) |
Computational Life Science (prior to 2016) |
Place and time:
see UnivIS
Contents:
- Physical fundamentals of magnetic resonance imaging: nuclear magnetic resonance, relaxation mechanisms, principles of position encoding
- Principles of spatial encoding, relaxation
- Construction of basic imaging sequences, weighting
- Concept of k-space
- Coherence pathways
- Hardware components of a clinical MR system
- Possible sources of hazard for patients
- Influence of measurement parameters on signal-to-noise ratio
- Causes of image artefacts
Literature:
- Liang, Z.-P., Lauterbur, P. C.: Principles of Magnetic Resonance Imaging: A Signal Processing Perspective - IEEE Press, New York 2000
General information:
Credit points: 3 (ME4412 T) / 4 (ME4400 B, ME4020, only with seminar)
Language: offered only in German, English skills required
Grading through: dependent on main module, oral exam
Further information:
See Moodle for teaching materials and any further information.
- Teaching
- Study Programme Medical Engineering Science
- Study Programme Medical Microtechnology
- Lübecker IngenieurInnen Labor
- Lectures
- Biophysics of Ionizing Radiation and Radiation Safety
- Clinical Medicine
- Computed Tomography
- Fields and Quanta
- Image Processing
- Introduction to Medical Engineering
- Introduction to Medical Engineering for Health Sciences
- Inverse Problems in Imaging
- Lecture Series Industrial Medical Engineering
- Magnetic Resonance Imaging
- Medical Imaging
- Nuclear Imaging
- Physics 1
- Physics 2
- Quantum Physics in Medical Diagnostics and Therapy
- Signals and Systems in Medical Imaging
- Visualization Technology
- Laboratory Courses
- Seminar
- Student Projects