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Magnetic Resonance Imaging sequence programming (MRIpulseq)
- Dozentinnen/Dozenten
- Prof. Dr.-Ing. habil. Andreas Maier, Prof. Dr. rer. nat. Moritz Zaiß
- Angaben
- Seminar
Online , benoteter Schein, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch, 4 SWS, zweiwöchiges Blockseminar mit Übungen/ 4 SWS block seminar with exercises
Zeit: Mo-Fr 9:30 - 17:30, 00.153-113 CIP
- Studienfächer / Studienrichtungen
- WPF MT-MA 1
WPF INF-MA 1
WPF Ph-MA 1
- ECTS-Informationen:
- Title:
- Project Magnetic Resonance Imaging sequence programming
- Credits: 5
- Prerequisites
- The prerequisite for the exercise is knowledge of the Magnetic Resonance Imaging 1 [MRI1] lecture by Prof. Dr. Laun.
For more information, please contact: moritz.zaiss@uk-erlangen.
Registration via Studon: https://www.studon.fau.de/crs2819947.html
- Contents
- In this two-week block seminar, the basics of MR sequence programming are taught. Basic sequences such as FID, spin echo, and gradient echo are programmed in Python by the students themselves in this exercise. In addition, the basic image reconstruction based on the simulated and recorded data is written and carried out in Python, including radial imaging and iterative reconstruction.
The sequences are created in a format that can be interpreted directly by MR scanners (https://pulseq.github.io). Part of the exercise will therefore be to use the created sequences on a real MRT machine in the Center for Medical Physics and Technology, generate signals from objects and test persons and reconstruct them into MRI images.
Basic knowledge of Python is helpful, but can also be acquired in the exercise.
For participation in the seminar, including an exercise with written report and demonstration in the following week, a total of 5 ECTS points with grade are given.
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
www: https://www.studon.fau.de/crs2819947.html
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2021/2022:
- Magnetic Resonance Imaging sequence programming (MRIpulseq)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
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