Research project

Interventional imaging is a highly topical subject in medical imaging in which real-time applications and automated image analysis requirements demand advanced imaging algorithms. Nontrivial image features have to be extracted for further processing and often the image impression can be improved to a significant extent.
Extending the vhb online course "Medical Image Processing for Diagnostic Applications" (MIPDA), the mathematical and technical tools for segmentation, time-dependent reconstruction, differential imaging and many other methods are prepared and presented in a profound, flexible and easy-to-learn fashion in the new format of an online course.
E-learning has developed into an important tool in adult education. This project includes the creation of high class digital learning material that prepares international students to start their own research in medical image processing.
Including topics such as feature detection, image enhancement, deep learning, segmentation, and non-rigid registration, the student will learn about theory, train mathematical concepts, and implement relevant algorithms. The course contents are always motivated by their clinical applications.
Among other things, the course features lecture videos and online testing of exercise submissions. In the final stage, this course will be added to the vhb portfolio as an ECTS credited course.