Physics Department, TUM | Course 0000004627 in SS 2020

General Data

Course Type

lecture

Semester Weekly Hours

2 SWS

Organisational Unit

Associate Professorship of Neuroradiology (Prof. Zimmer)

Lecturers

Carl-Robert Ganter
Dimitrios Karampinos
Christine Preibisch
Franz Schilling
Afra Wohlschläger

Dates

Wed, 16:00–17:30

iCalendar

	Date and Time	Room and Remark
	Wed, 2020-04-22, 16:00–17:30	Wrap up basic MRI Speaker: Carl-Robert Ganter Vortragsraum, Lern- und Trainingszentrum (LUTZ), Klinikum rechts der Isar der TU München, Nigerstr. 3, 81675 München
	Wed, 2020-04-29, 16:00–17:30	Fast and quantitative MRI – current techniques Speaker: Carl-Robert Ganter Vortragsraum (LUTZ)
	Wed, 2020-05-06, 16:00–17:30	From T2* weighted imaging to QSM Speaker: Prof. Dr. Dimitrios Karampinos Vortragsraum (LUTZ)
	Wed, 2020-05-13, 16:00–17:30	From diffusion weighting to DTI Speaker: Prof. Dr. Dimitrios Karampinos Vortragsraum (LUTZ)
	Wed, 2020-05-20, 16:00–17:30	Metabolism – basics of MR spectroscopy Vortragsraum (LUTZ)
	Wed, 2020-05-27, 16:00–17:30	Hyperpolarized spectroscopy and preclinical MRI Speaker: Prof. Dr. Franz Schilling Vortragsraum (LUTZ)
	Wed, 2020-06-03, 16:00–17:30	Hands on & practical demonstration – qMRT, DTI & spectroscopy Speakers: Christine Preibisch, Carl-Robert Ganter Kirchenhof MRT
	Wed, 2020-06-10, 16:00–17:30	Limitations of conventional (f)MRI: What are the benefits of advanced magnetic resonance techniques? Speaker: Christine Preibisch Vortragsraum (LUTZ)
	Wed, 2020-06-17, 16:00–17:30	Flow and perfusion imaging – ASL & DSC MRI Speaker: Christine Preibisch Vortragsraum (LUTZ)
	Wed, 2020-06-24, 16:00–17:30	Principles & applications of calibrated fMRI Speaker: Christine Preibisch Vortragsraum (LUTZ)
	Wed, 2020-07-01, 16:00–17:30	DTI-based structural connectivity Speaker: PD Dr. Afra Wohlschläger Vortragsraum (LUTZ)
	Wed, 2020-07-08, 16:00–17:30	BOLD-based functional connectivity Speaker: PD Dr. Afra Wohlschläger Vortragsraum (LUTZ)
	Wed, 2020-07-15, 16:00–17:30	Hands on & practical demonstration – perfusion & rs-fMRI Speakers: Christine Preibisch, PD Dr. Afra Wohlschläger Kirchenhof MRT
	Wed, 2020-07-22, 16:00–17:30	Wrap up - short presentations (exam) Speakers: Christine Preibisch, Carl-Robert Ganter Vortragsraum (LUTZ)

Assignment to Modules

ME702: Grundlegende Einführung in fortgeschrittene MRT und Analysetechniken für Neuro-Anwendungen (Grundlegende Einführung in fortgeschrittene MRT und Analysetechniken für Neuro-Anwendungen) / Basic Introduction to Advanced MRI and Analysis Techniques for Neuro-Applications (Basic Introduction to Advanced MRI and Analysis Techniques for Neuro-Applications)
This module is included in the following catalogs:
- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks	Starting with a wrap up of the most important basics of MR signal generation and imaging, the lecture covers advanced magnetic resonance imaging (MRI), basic spectroscopy (MRS) as well as sophisticated functional MRI calibration and analysis methods. The primary aim is to give a wide overview on a variety of methods and provide the participants with a basic working knowledge on which structurally, physiologically and metabolically relevant information can be obtained by MRI and MRS, and how it can be refined by suitable analysis techniques. The course primarily aims at a conceptual understanding of the most important principles of the presented techniques and demonstrates relevant applications in clinical practice as well as research. It is intended to enable the participants to identify suitable applications and also recognize technological limitations. The range of covered techniques comprises quantitative relaxometry, diffusion weighted and tensor imaging, qualitative and quantitative oxygenation sensitive imaging (BOLD), qualitative and quantitative flow and perfusion imaging, qualitative and quantitative susceptibility sensitive techniques as well as metabolic imaging by means of MR spectroscopy. Likewise, the presentation of advanced analysis methods primarily aims at a basic understanding of more sophisticated techniques of structural and functional connectivity analysis, graph methods, functional parcellation, effective and dynamic functional connectivity. In addition, practical application examples will be given, relying on the capabilities of open source software packages for processing and analyzing brain MRI.
Links	E-Learning course (e. g. Moodle) TUMonline entry

additional remarks

Starting with a wrap up of the most important basics of MR signal generation and imaging, the lecture covers advanced magnetic resonance imaging (MRI), basic spectroscopy (MRS) as well as sophisticated functional MRI calibration and analysis methods. The primary aim is to give a wide overview on a variety of methods and provide the participants with a basic working knowledge on which structurally, physiologically and metabolically relevant information can be obtained by MRI and MRS, and how it can be refined by suitable analysis techniques. The course primarily aims at a conceptual understanding of the most important principles of the presented techniques and demonstrates relevant applications in clinical practice as well as research. It is intended to enable the participants to identify suitable applications and also recognize technological limitations. The range of covered techniques comprises quantitative relaxometry, diffusion weighted and tensor imaging, qualitative and quantitative oxygenation sensitive imaging (BOLD), qualitative and quantitative flow and perfusion imaging, qualitative and quantitative susceptibility sensitive techniques as well as metabolic imaging by means of MR spectroscopy. Likewise, the presentation of advanced analysis methods primarily aims at a basic understanding of more sophisticated techniques of structural and functional connectivity analysis, graph methods, functional parcellation, effective and dynamic functional connectivity. In addition, practical application examples will be given, relying on the capabilities of open source software packages for processing and analyzing brain MRI.

Links

E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

Semester	Title	Lecturers	Dates
SS 2021	Basic Introduction to Advanced MRI and Analysis Techniques for Neuro-Applications	Ganter, C. Preibisch, C. Schilling, F. Wohlschläger, A.	Wed, 16:00–17:30

Basic Introduction to Advanced MRI and Analysis Techniques for Neuro-Applications

Course 0000004627 in SS 2020

General Data

Assignment to Modules

Further Information

Equivalent Courses (e. g. in other semesters)