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Semester | fall semester 2024 |
Course frequency | Every fall sem. |
Lecturers |
Grzegorz Baumann (g.baumann@unibas.ch)
Celine Berger Oliver Bieri (oliver.bieri@unibas.ch, Assessor) 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) |
Content | 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 |
Learning objectives | 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 |
Admission requirements | 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). |
Language of instruction | English |
Use of digital media | No specific media used |
Interval | Weekday | Time | Room |
---|---|---|---|
14-täglich | Wednesday | 13.15-17.00 |
Comments |
MRI: Radiologische Physik, Unispital CT: Institut für Rechtsmedizin |
Date | Time | Room |
---|---|---|
Wednesday 18.09.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Wednesday 02.10.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Wednesday 16.10.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Wednesday 30.10.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Wednesday 13.11.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Wednesday 27.11.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Wednesday 11.12.2024 | 13.15-17.00 | MRI: Radiologische Physik, Unispital / CT: Institut für Rechtsmedizin, -- |
Modules |
Modul: Project Work and Practical Skills (Master's Studies: Biomedical Engineering) |
Assessment format | continuous assessment |
Assessment details | • 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 |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
Repeat examination | no repeat examination |
Scale | Pass / Fail |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Medicine |
Offered by | Departement Biomedical Engineering (DBE) |