Zurück zur Auswahl
| Semester | Herbstsemester 2024 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Grzegorz Baumann (g.baumann@unibas.ch)
Celine Berger Oliver Bieri (oliver.bieri@unibas.ch, BeurteilerIn) Claudia Lenz (claudia.lenz@unibas.ch) Dominique Neuhaus (dominique.neuhaus@unibas.ch) Francesco Santini (francesco.santini@unibas.ch) Claudia Weidensteiner (claudia.weidensteiner@unibas.ch) Andrea Zirn (andrea.zirn@unibas.ch) |
| Inhalt | Session CT I (4 lessons) • General introduction • Safety instructions • Instruction for writing reports • Image acquisition of object I, try different reconstruction kernels • Convert images to dicom, measure object dimension, discuss contrast & resolution • Find out which object it is Session MRI I (4 lessons) • General introduction • Safety instructions • Instruction for writing reports • Image acquisition of object I, try different sequences • Convert images to dicom, measure object dimension, discuss contrast & resolution • Find out which object it is Session CT II (4 lessons) • Image acquisition of object II • Try 3D segmentation • Find out which object it is Session MRI II (4 lessons) • Image acquisition of object II • Try 3D segmentation • Find out which object it is Session CT III (4 lessons) • Image acquisition of object III • Try tissue segmentation • Find out which object it is Session MRI III (4 lessons) • Image acquisition of object III • Try tissue segmentation • Find out which object it is Session Student Presentations (4 lessons) • Presentation and feedback • Comparison of CT & MRI |
| Lernziele | After completing the module, students will be able to… • Perform CT scans on objects/phantoms • Perform MRI scans on objects/phantoms • Know MR/CT safety reasons and rules • Explain the advantages and disadvantages of MRI/CT • Understand and explain image sequences and protocols • Know and discuss how to improve image sequences and protocols • Analyze CT images • Analyze MRI images • Evaluate and compare MRI and CT images • Illustrate and discuss results in scientific reports • Present and critically discuss results |
| Teilnahmevoraussetzungen | Only students attending the lectures Forensic Imaging & MR Imaging during the same semester will be allowed to register. In maximum, 6 students can attend (first come, first serve). |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| 14-täglich | Mittwoch | 13.15-17.00 |
| Bemerkungen |
MRI: Radiologische Physik, Unispital CT: Institut für Rechtsmedizin |
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 18.09.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Mittwoch 02.10.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Mittwoch 16.10.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Mittwoch 30.10.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Mittwoch 13.11.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Mittwoch 27.11.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Mittwoch 11.12.2024 | 13.15-17.00 Uhr | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
| Module |
Modul: Project Work and Practical Skills (Masterstudium: Biomedical Engineering) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | • Attendance of practical sessions minimum 80% • Scientific reports, to be submitted 2 weeks after practical session (80% filled out to pass) • Exercises, to be submitted 2 weeks after every assignment (during semester) (80% filled out to pass) • Presentation, to be presented at the end of the semester • Final grading: pass/fail |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Medizinische Fakultät |
| Anbietende Organisationseinheit | Departement Biomedical Engineering (DBE) |