|Event Type: Work placement|
|Module Representative: Prof. Dr.-Ing. Georg Schmitz|
|Lecturers: Prof. Dr.-Ing. Georg Schmitz, research assistants|
|APPOINTMENTS IN WINTER SEMESTER|
Preliminary Meeting: Monday, 10/24/2022 (NEW!), 2:15 PM, ID 04/232
Unfortunately, due to illness, the preliminary meeting for the Master Practical Course Biomedical Engineering must be rescheduled from 10/17 to 10/24/22.
|Practical Courses: Mondays, 2:15 - 5:00 PM, ID 04/271|
|Type of Exam:||Work Placement|
|Exam Registration:||directly with the lecturer|
After successful completion of the module, students have a deeper understanding of previously learned knowledge in the field of signal processing and imaging and the ability to apply it in practical applications. They are able to select and discuss suitable models, perform and evaluate simulations by using appropriate software (e.g. Matlab, OnScale), and optimize solution approaches based on these. You will be able to collaborate in small teams and prepare technical reports. As a key qualification, the approach to complex designs is mastered, among other things.
The practical course deepens the basics of ultrasound imaging methods and image registration in 4 experiments. The experiments are carried out on several consecutive dates. The focus is on ultrasound imaging techniques. In a basic experiment on ultrasound imaging, the fundamentals of sound reflection and attenuation and signal processing, as well as the formation of the ultrasound B-scan, are taught. Based on this, an ultrasonic transducer is optimized in a further experiment using FEM programs. FEM transducer models, equivalent circuit diagrams and design criteria for ultrasonic transducers are presented. An experiment on field simulation of acoustic wave propagation focuses on array design and design criteria for ultrasonic transducer arrays. Beam shaping methods, imaging artifacts, and various scanning techniques are explored using the Field II simulation program so that students can gain hands-on experience with field simulations. The last experiment covers the topic of image registration. Here, the application example of computer-assisted surgery is used to teach how different image data can be fused. For this purpose, known algorithms are to be implemented in Matlab and then tested in a given experimental setup.
Lecture content: Ultrasound in Medicine, Tomographic Imaging, Biomedical Image Processing.
The internship is organized via Moodle. Self-enrollment in the course is possible from 10/17/2022 with the password "MedImag".