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| Semester | fall semester 2024 |
| Course frequency | Every fall sem. |
| Lecturers |
Grzegorz Baumann (g.baumann@unibas.ch, Assessor)
Oliver Bieri (oliver.bieri@unibas.ch) Francesco Santini (francesco.santini@unibas.ch) Claudia Weidensteiner (claudia.weidensteiner@unibas.ch) |
| Content | 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. |
| Learning objectives | 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. |
| Bibliography | From Picture to Proton“ von Cambridge University Press. |
| Comments |
| Admission requirements | The course is recommended for students who completed the Principles in Medical Imaging. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Thursday | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Date | Time | Room |
|---|---|---|
| Thursday 26.09.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 03.10.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 10.10.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 17.10.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 24.10.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 31.10.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 07.11.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 14.11.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 21.11.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 28.11.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 05.12.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 12.12.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 19.12.2024 | 08.15-10.00 | Bernoullistrasse 30/32, Hörsaal 103 |
| Thursday 09.01.2025 | 10.00-12.00 | Biozentrum, Seminarraum U1.197 |
| Modules |
Modul: Image Acquisition and Analysis (Master's Studies: Biomedical Engineering) Module Specialisation: Medical Nanosciences (Master's Studies: Nanosciences) Module: Biomaterials Science and Nanotechnology (Master's Studies: Biomedical Engineering (Start of studies before 01.08.2023)) Module: Image-Guided Therapy (Master's Studies: Biomedical Engineering (Start of studies before 01.08.2023)) |
| Assessment format | record of achievement |
| Assessment details | Written exam (a mix of multiple choice "Kprim", single possible questions "Apos" and descriptive questions) 09.01.2025 10:00 - 12:00 Biozentrum, Seminarraum U1.197 |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | one repetition, best attempt counts |
| Scale | 1-6 0,1 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Medicine |
| Offered by | Departement Biomedical Engineering (DBE) |