Moses - Magnetic Resonance Imaging

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Module / Version:
#50809 / #2

Validity:
Seit WiSe 2021/22

Default display language:
English

Module title:
Magnetic Resonance Imaging

Credits:
6

Responsible person:
Kraft, Marc

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät V

Institute:
Institut für Maschinenkonstruktion und Systemtechnik (IMS)

Area of expertise:
35351600 FG Medizintechnik

Prüfungsausschuss:
Maschinenbau

Kontakt

Office:
SG 11

Contact person:
Schäffter, Tobias Richard

E-mail address:
mt-tb-office@win.tu-berlin.de

Website:

https://www.tu.berlin/medtech/studium-lehre/lehrveranstaltungen/magnetic-resonance-imaging

Learning Outcomes

The course is held by Prof. Dr. Tobias Schaeffter Head of Division, Medical Physics and Metrological Information Technologies at the PTB Berlin. MRI I (winter): Participants will learn the basic principles and the instrumentation of magnetic resonance imaging (MRI). Basic measurement techniques (MR-sequences) and the related image contrast mechanisms will be studied. The mathematical framework is developed to describe image encoding, the point-spread function (PSF), signal-to-noise ratio and contrast mechanism of MRI. Matlab exercises and homework are used to deepen the understanding of the basic concepts. MRI II (summer): This course is geared towards master students and PhD students who have visited the magnetic resonance imaging (MRI) course or have basic knowledge of MRI. The participants will learn concepts of advanced MRI encoding and decoding strategies. In particular the mathematical frameworks are developed to solve the inverse problem of fast acquisition strategies. The participants will also learn about quantitative MRI techniques and related data analysis techniques Matlab exercises and homework are used to deepen the understanding of the concepts.

Content

MRI I (winter): History of MRI, physical principle, Nuclear Magnetic Resonance (NMR) Effect, relaxation phenomena and chemical shift, spatial localisation and imaging, k-space formalism, basic pulse sequences (gradient and spin echo), contrast manipulation, fast imaging sequences, motion compensation, instrumentation and safety, signal-to-noise ratio, image-quality, artefacts, clinical applications and research. MRI II (summer): MRI signal equation, direct Fourier reconstruction, advanced k-space trajectories and gridding reconstruction, parallel imaging, compressed sensing, RF-pulse design and two-dimensional excitation, quantitative MRI (flow, diffusion, relaxation time mapping), cardiac MRI.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Magnetic Resonance Imaging II - Reconstruction and quantitative methods	IV		SoSe	German/English	2
Magnetic Resonance Imaging I - Principles and Applications	IV		WiSe	German/English	2

Workload and Credit Points

Magnetic Resonance Imaging II - Reconstruction and quantitative methods (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	4.0h	60.0h
			90.0h(~3 LP)

Magnetic Resonance Imaging I - Principles and Applications (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	4.0h	60.0h
			90.0h(~3 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

MRI I: The lecture will provide physical and mathematical background to understand the principles of MRI. Participants are expected to rehearse the content after class in preparation for exercises. The exercises focus on the calculation of practical questions and exercises at the computer. For this, matlab-code will be made available, which need to be modified. Homework will consist of specific tasks with calculations and programming solutions using matlab. The participants will also attend a MR-measurement session. MRI II: The lecture will provide theoretical background to understand advanced encoding and decoding strategies in MRI. Furthermore, biophysical properties and related quantitative MR-measurements will be introduced. Participants are expected to rehearse the content after class in preparation for exercises. The exercises focus on the calculation of practical questions and exercises at the computer. For this, matlab-code will be made available, which need to be modified. Homework will consist of specific tasks with calculations and programming solutions using matlab. The participants will attend a MR-measurement session

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Mathematical background at the level of MS students in Engineering (Fourier transforms, signals and systems, linear algebra and notions of matrix theory). Knowledge of basic Matlab functionality is helpful The course is open to students enrolled in any MSc in Electrical Engineering, Mathematics and Physics

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

German

Test elements

Name	Points	Categorie	Duration/Extent
Homework winter	12	written	reports provided by groups
(Examination) written part winter	13	written	10min
(Examination) oral examination/discussion winter	25	oral	20min
Homework summer	12	written	reports provided by groups
(Examination) written part summer	13	written	10min
(Examination) oral examination/discussion summer	25	oral	20min

Grading scale

This exam uses its own grading scale (see test description).

Test description (Module completion)

Grade 1.0 1.3 1.7 2.0 2.3 2.7 3.0 3.3 3.7 4.0 Percentage 95.0 90.0 85.0 80.0 75.0 70.0 65.0 60.0 55.0 50.0

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
2 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Please sign up for this course in ISIS after the first week of the new semester. You find the link to the ISIS-Course under: https://www.medtech.tu-berlin.de/menue/studium_und_lehre/module/.

Recommended literature
Dwight Nishimura, Principles of Magnetic Resonance Imaging , Stanford University press, 2010
Jaques A. den Boer, Marinus T. Vlaardingerbroek Magnetic Resonance Imaging Theory and Practice. Springer
Matt Bernstein, Kevin King, Xiaohong Zhou, Handbook of MRI Pulse Sequences, Academic Press
Olaf Dössel, O. (Ed.), T. Buzug, T. (2014). Band 7 Medizinische Bildgebung. Berlin, Boston: De Gruyter
Zhi-Pei Liang, Paul C. Lauterbur, Principles of Magnetic Resonance Imaging: A Signal Processing Perspective, Wiley-IEEE Press

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
Biomedizinische Technik (M. Sc.)	1	9	WiSe 2021/22	SoSe 2024
Computer Engineering (M. Sc.)	1	24	WiSe 2021/22	SoSe 2024
Computer Science (Informatik) (M. Sc.)	1	12	WiSe 2021/22	SoSe 2024
Elektrotechnik (M. Sc.)	1	18	WiSe 2021/22	SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information

Magnetic Resonance Imaging