3 EC
Semester 2, period 6
5354ADMR3Y
The following topics will be discussed: sequence design using the Bloch equations, advanced MRI sequences (TSE, SSFP, EPI), steady-state-free-precession (SSFP), quantitative imaging (T1-, T2-mapping), parallel-imaging (SENSE, GRAPPA, Compressed Sensing). Mathematica will be used to make simulations of MRI pulse sequences.
Mathematica and Matlab scripts
This course is intended for students with a basic knowledge on Magnetic Resonance Imaging (MRI) who want to broaden their understanding of the physics of MRI in general and of advanced MRI pulse sequences in particular. To this end, the lectures will provide a formal framework for the description and understanding of advanced MRI sequences using the Bloch equations and Fourier principles. The physics of T1 and T2 relaxation processes are introduced. Latest acceleration techniques to speed up the MRI acquisition will be discussed. After this lecture series, the student will be able to read and understand modern literature on advanced MR image acquisition and reconstruction strategies.
Lectures, computer practicals, self-study, and working independently on an assignment.
Activity | Number of hours |
Computerpracticum | 10 |
Hoorcollege | 14 |
Zelfstudie | 60 |
Requirements concerning attendance (OER-B).
| Item and weight | Details |
|
Final grade | |
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1 (100%) Assignment | Must be ≥ 6 |
Onderstaande opdrachten komen aan bod in deze cursus:
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.uva.nl/plagiarism
| Weeknummer | Onderwerpen | Studiestof |
| 1 | ||
| 2 | ||
| 3 | ||
| 4 |
The schedule for this course is published on DataNose.
Recommendend prior knowledge: A basic knowledge on MRI is a must, for example obtained from a course like Medical Imaging.