Zurück
| Semester | Herbstsemester 2024 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Celine Berger
Claudia Lenz (claudia.lenz@unibas.ch, BeurteilerIn) Dominique Neuhaus (dominique.neuhaus@unibas.ch) Andrea Zirn (andrea.zirn@unibas.ch) |
| Inhalt | Introduction (2 lessons) • General introduction to forensic medicine Basic Research Tools (2 lessons) • Literature research, referencing • Scientific poster preparation • Python for image analyses of exercises X-ray & CT (6 lessons) • X-ray of living subjects in forensic medicine: general introduction, imaging tools, age estimation, fracture dating • Post mortem CT in forensic medicine: indication list, identification, research projects (automatic registration & detection of causes of death) • Exercises and poster presentation MRI (6 lessons) • MRI of living subjects in forensic medicine: general introduction, strangulation, research projects • Post mortem MRI in forensic medicine: potential, pitfalls, research projects • Exercises and poster presentation Forensic Photography (4 lessons) • General introduction to daylight & infrared photography, application in forensic medicine • Exercises and poster presentation Biomechanics (4 lessons) • General introduction, biomechanical models based on CT or MRI • Exercises and poster presentation Poster Evaluation (2 lessons) • Evaluation of posters, discussion with students/groups |
| Lernziele | After completing the module, students will be able to… • Have an overview of current applied and future potential methods in forensic imaging • Differentiate forensic and clinical applications • Have an overview of the discussed research tools • Explain and compare application of X-ray & CT in forensic medicine for living and post mortem subjects • Analyze X-ray & CT imaging data • Explain and compare application of MRI in forensic medicine for living and post mortem subjects • Analyze MRI imaging data • Explain and compare application of Infrared (IR) photography • Analyze IR data • Have an overview of the different biomechanical challenges in forensic medicine • Explain and evaluate different biomechanical models based on CT imaging • Analyze imaging data of biomechanical challenges • Evaluate / discuss and create poster on a relevant course topic |
| Teilnahmebedingungen | • Medical Image Processing • Principles in Medical Imaging Further required competences: • Programming basics in Matlab & Python • Basic knowledge in literature research & research methodologies |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Mittwoch | 10.15-12.00 | Biozentrum, Seminarraum U1.193 |
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 18.09.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 25.09.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 02.10.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 09.10.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 16.10.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 23.10.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 30.10.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 06.11.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 13.11.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 20.11.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 27.11.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 04.12.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 11.12.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Mittwoch 18.12.2024 | 10.15-12.00 Uhr | Biozentrum, Seminarraum U1.193 |
| Module |
Modul: Image Acquisition and Analysis (Masterstudium: Biomedical Engineering) Modul: Vertiefung Medizinische Nanowissenschaften (Masterstudium: Nanowissenschaften) |
| Leistungsüberprüfung | Leistungsnachweis |
| Hinweise zur Leistungsüberprüfung | • Attendance of lectures (80% to pass) • Scientific poster preparation (50%) • Poster presentation, to be presented at the corresponding session (during semester) (50%) • Exercises, to be submitted 2 weeks after every assignment (during semester) (80% filled out to pass) |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | eine Wiederholung, bester Versuch zählt |
| Skala | 1-6 0,1 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Medizinische Fakultät |
| Anbietende Organisationseinheit | Departement Biomedical Engineering (DBE) |