Zurück
| Semester | Frühjahrsemester 2023 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Grzegorz Bauman (grzegorz.bauman@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. During the exercises we will demonstrate how to operate an MRI unit, and show several different MR techniques in measurements in phantom and in-vivo. |
| 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. |
| Teilnahmebedingungen | Limited number of students only, priority will be given to students from of the Master in Biomedical Engineering. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Freitag | 09.15-12.00 | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Datum | Zeit | Raum |
|---|---|---|
| Freitag 24.02.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 03.03.2023 | 09.15-12.00 Uhr | Fasnachstferien |
| Freitag 10.03.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 17.03.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 24.03.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 31.03.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 07.04.2023 | 09.15-12.00 Uhr | Ostern |
| Freitag 14.04.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 21.04.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 28.04.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 05.05.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 12.05.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 19.05.2023 | 09.15-12.00 Uhr | Auffahrt |
| Freitag 26.05.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 02.06.2023 | 09.15-12.00 Uhr | Bernoullistrasse 30/32, kleiner Hörsaal 120 |
| Freitag 21.07.2023 | 10.00-12.00 Uhr | Prüfung, Bernoullistrasse 30/32, Hörsaal 103 |
| Module |
Modul: Biomaterials Science and Nanotechnology (Masterstudium: Biomedical Engineering) Modul: Image-Guided Therapy (Masterstudium: Biomedical Engineering) |
| Leistungsüberprüfung | Leistungsnachweis |
| Hinweise zur Leistungsüberprüfung | Written exam (a mix of multiple choice "Kprim", single possible questions "Apos" and descriptive questions) 21.7.2023 10:00 - 12:00, Bernoullianum, kleiner Hörsaal 103 |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | eine Wiederholung, bester Versuch zählt |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Medizinische Fakultät |
| Anbietende Organisationseinheit | Departement Biomedical Engineering (DBE) |