Module ME4452-KP04

Duration

1 Semester

Turnus of offer

every summer semester

Credit points

4

Course of studies, specific fields and terms:

• Master CLS 2023, optional subject, computer science
• Master MES 2020, optional subject, medical engineering science
• Master MES 2014, optional subject, medical engineering science

Classes and lectures:

• Magnetic Resonance Imaging 2 (exercise, 1 SWS)
• Magnetic Resonance Imaging 2 (lecture, 2 SWS)

Workload:

• 55 hours private studies
• 45 hours in-classroom work
• 20 hours exam preparation

Contents of teaching:

• Advanced fundamentals (coherence, density matrix, relaxation, Ernst angle, extended phase graphs, RF spoiling, partial Fourier)
• Overview of imaging sequences
• Image artifacts and techniques for their correction
• Access to exotic quantitative parameters
• Physical modeling of the MRI signal (diffusion, relaxometry, proton density, and magnetization transfer)
• Biophysical modeling of the MRI signal (axons, myelin, and iron in the brain)
• Methods for determining physical MRI parameters from the measured signal
• Methods for determining tissue properties from the MRI signal

Qualification-goals/Competencies:

• Students will be able to explain the occurrence of image artifacts and methods to counteract them
• Students will be able to describe the structure of important imaging sequences
• Students will be able to predict the consequences of minor sequence modifications
• Students will be able to explain methods for measuring parameters beyond clinical routine imaging
• Students will be able to summarize the following physical models of the MRI signal: Diffusion-weighted MRI, relaxometry, proton density, magnetization transfer
• Students will be able to summarize biophysical models of the MRI signal for determining the following tissue properties: Axon volume fraction and axon radius, myelin volume fraction, iron concentration

Grading through:

• Oral examination

Requires:

• Module part: Magnetic Resonance Imaging (ME4412 T)
• Magnetic Resonance Imaging (ME4412-KP03)

Responsible for this module:

• Prof. Dr. rer. nat. Siawoosh Natho-Mohammadi

Teacher:

• Institute of Medical Engineering
• Prof. Dr. rer. nat. Martin Koch
• Prof. Dr. rer. nat. Siawoosh Natho-Mohammadi

Literature:

• M. A. Bernstein, K. F. King und X. J. Zhou : Handbook of MRI Pulse Sequences Elsevier, Amsterdam 2004
• Johansen-Berg H, Behrens TEJ : Diffusion MRI from quantitative measurement to in-vivo neuroanatomy Amsterdam 2009; Boston: Academic Press.

Language:

• German and English skills required

Notes:

Last Updated:

17.03.2026