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70407-01 - Lecture: Forensic Imaging (3 CP)

Semester fall semester 2026
Course frequency Every fall sem.
Lecturers Claudia Lenz (claudia.lenz@unibas.ch, Assessor)
Dominique Neuhaus (dominique.neuhaus@unibas.ch)
Andrea Zirn (andrea.zirn@unibas.ch)
Content Introduction
• General introduction to forensic medicine

Basic Research Tools
• Literature research, referencing
• Scientific poster preparation

X-ray & CT
• 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 presentations

MRI
• 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 presentations

Forensic Photography
• General introduction to daylight & infrared photography, application in forensic medicine
• Exercises and poster presentations

Histology
• General introduction, forensic applications
• Exercises and poster presentations

Biomechanics
• General introduction, biomechanical models based on CT or MRI
• Exercises and poster presentations
Learning objectives 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
• Analyze histological images
• 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

 

Admission requirements • Medical Image Processing
• Principles in Medical Imaging
Further required competences:
• Programming basics in Matlab & Python
• Basic knowledge in literature research & research methodologies
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 10.15-12.00 Biozentrum, Seminarraum U1.193

Dates

Date Time Room
Wednesday 16.09.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 23.09.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 30.09.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 07.10.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 14.10.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 21.10.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 28.10.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 04.11.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 11.11.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 18.11.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 25.11.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 02.12.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 09.12.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Wednesday 16.12.2026 10.15-12.00 Biozentrum, Seminarraum U1.193
Modules Module Specialisation: Medical Nanosciences (Master's Studies: Nanosciences)
Module: Image Acquisition and Analysis (Master's Studies: Biomedical Engineering)
Assessment format record of achievement
Assessment details • Attendance of lectures (80% to pass)
• Exercises (during semester) (80% filled out to pass)
• Scientific poster preparation (2/3 of grade)
• Poster presentation (to be presented at the corresponding session during semester) (1/3 of grade)
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)

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