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  Magnetic Resonance Imaging sequence programming (MRIpulseq)

Lecturers
Prof. Dr.-Ing. habil. Andreas Maier, Prof. Dr. rer. nat. Moritz Zaiß

Details
Kurs
Online
, benoteter certificate, ECTS studies, ECTS credits: 5
für FAU Scientia Gaststudierende zugelassen, Sprache Englisch, 4 SWS, zweiwöchiger Blockkurs mit Übungen/ 4 SWS block course with exercises
Zeit: Mon, Tue, Wed, Thu, Fri 9:30 - 17:30, 00.153-113 CIP

Fields of study
WPF MT-MA 1
WPF INF-MA 1
WPF Ph-MA 1

ECTS information:
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 course, 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 course, including an exercise with written report and demonstration in the following week, a total of 5 ECTS points with grade are given.

Additional information
Expected participants: 20, Maximale Teilnehmerzahl: 20
www: https://www.studon.fau.de/crs2819947.html

Verwendung in folgenden UnivIS-Modulen
Startsemester SS 2022:
Magnetic Resonance Imaging sequence programming (MRIpulseq)

Department: Chair of Computer Science 5 (Pattern Recognition)
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