Computer Aided Medical Procedures
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
IN2021 is a semester module in English language at Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|180 h||60 h||6 CP|
Content, Learning Outcome and Preconditions
++ Computer aided medical procedures
++ History of radiology and surgical procedures
- Medical Imaging Modalities
++ Computed tomography
++ Magnetic resonance imaging
++ Positron emission tomography
++ Optical imaging
- Computer Aided Systems for Diagnosis, Treatment, Surgery, and Follow-up
++ Image segmentation
++ Rigid and deformable image registration
++ Tracking systems
++ Visualization and augmented reality
These topics are augmented by invited talks of clinical or industrial experts.
Moreover, participants are able to identify problems in the area of diagnosis and therapy as well as to develop corresponding solution strategies based on the methods covered in the areas image processing, navigation and visualization.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||4||Computer Aided Medical Procedures (IN2021)||Eck, U. Kim, S. Navab, N. Wendler Vidal, T.||
Tue, 14:15–16:00, MI HS2
Thu, 14:00–16:00, MI HS2
Learning and Teaching Methods
Terry M. Peters: Image-guided surgery: From X-rays to Virtual Reality. Comput Methods Biomech Biomed Engin, 4(1):27-57, 2000
Description of exams and course work
The exam takes the form of a written test. The duration is 90 minutes and no material is allowed (closed book). Questions allow to assess whether the student is able to understand fundamentals, differences and application areas of medical imaging modalities as well as methods for medical image processing and computer aided surgery. Small case studies assess whether the student is able to select an appropriate imaging modality or algorithm for a given application.
The exam may be repeated at the end of the semester.