Lectures

 

Digital Image Processing I

This lecture covers the basics and application of image acquisition and image processing including many examples illustrating the topics of the lecture.
Requirements for taking the lecture is a bachelor degree.

 

Digital Image Processing II

Based on “Digital Image Processing I” this lecture covers the advance topics like filtering, analysis and computer vision in theory and practice. Examples are given out of the fields of biomedical and industrial image processing.

 

Mathematical Methods for Electrical Engineering

Due to great processing power signal processing systems are more and more implemented in form of “digital” processes. Examples for this development are mobile phones, DVB, DVD, CD, MP3 and furthermore professional systems e.g. in the area of medical imaging. In addition to the basic lecture modules about analogous devices and networks this lecture gives insights to digital processes. Examples are implemented partially in MATLAB on standard PCs. The focus of this lecture lies on mathematical methods for the digital processing of audio, image and video signals.

The lecture is accompanied by an introduction to the programming language und development environment MATLAB. The content of the lecture is put into practice using  MATLAB.

 

Biomedical Imaging

This lecture covers methods, devices and the underlying physics of biomedical imaging techniques. Modalities discussed include planar X-ray imaging, computer tomography, ultrasound, magnetic resonance imaging, imaging in nuclear medicine (PET, SPECT), endoscopy and microscopy. In addition, the basics of multidimensional system theory and quality criteria of imaging, such as modulation transfer function (MTF), noise-equivalent quanta (NEQ) and detective quantum efficiency (DQE) will be addressed