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53824-01 - Vorlesung mit Übungen: Magnetic Resonance Imaging (3 KP)
| Semester | Herbstsemester 2026 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Grzegorz Baumann (g.baumann@unibas.ch, BeurteilerIn)
Oliver Bieri (oliver.bieri@unibas.ch) Francesco Santini (francesco.santini@unibas.ch) Claudia Weidensteiner (claudia.weidensteiner@unibas.ch) |
| Inhalt | The course gives an overview of Magnetic Resonance Imaging (MRI) which is a non-invasive and ionizing radiation free diagnostic imaging technique that has found widespread applications in clinical routine and research. In this course we will first introduce the fundamentals of MR physics including: nuclear spin, magnetic moments, magnetization, radiofrequency pulse excitation and relaxation processes, which will be followed by topics related to MRI hardware and safety. We will discuss basic concepts of pulse sequences, spatial encoding, k-space and image formation. The final portion of the course will introduce specialized applications such as cardiovascular imaging, spectroscopy, diffusion weighted imaging and functional brain MRI, image artifacts as well as advanced image reconstruction techniques. |
| Lernziele | Upon completion of the course students should have understanding of: - the physical principles of nuclear magnetic resonance - MRI unit and its safety aspects - magnetization excitation and relaxation processes - generation of image contrasts - creation of spin and gradient echo including schematics of basic pulse sequences - spatial encoding and k-space - image reconstruction - spectroscopy Furthermore students should be able to demonstrate knowledge of more advanced MRI techniques including: diffusion weighted imaging, functional brain MRI and cardiovascular imaging as well as examples of its applications. |
| Literatur | From Picture to Proton“ von Cambridge University Press. |
| Bemerkungen |
| Teilnahmevoraussetzungen | The course is recommended for students who completed the Principles in Medical Imaging. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Donnerstag | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Donnerstag 17.09.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 24.09.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 01.10.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 08.10.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 15.10.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 22.10.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 29.10.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 05.11.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 12.11.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 19.11.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 26.11.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 03.12.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 10.12.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Donnerstag 17.12.2026 | 08.15-10.00 Uhr | Bernoullistrasse 30/32, Hörsaal 103 |
| Module |
Modul: Image Acquisition and Analysis (Masterstudium: Biomedical Engineering) Modul: Vertiefung Medizinische Nanowissenschaften (Masterstudium: Nanowissenschaften) |
| Prüfung | Leistungsnachweis |
| Hinweise zur Prüfung | Written exam (a mix of multiple choice "Kprim", single possible questions "Apos" and descriptive questions) |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | eine Wiederholung, bester Versuch zählt |
| Skala | 1-6 0,1 |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Medizinische Fakultät |
| Anbietende Organisationseinheit | Departement Biomedical Engineering (DBE) |