course: Master Practical Course Biomedical Engineering

teaching methods:
practical course
responsible person:
Prof. Dr.-Ing. Georg Schmitz
Prof. Dr.-Ing. Georg Schmitz (ETIT), wiss. Mitarbeiter (ETIT)
offered in:
winter term

dates in winter term

  • kick-off meeting: Monday the 14.10.2019 from 14:15 in ID 04/232
  • lab Mondays: from 14:15 to 17.00 o'clock in ID 04/271


Form of exam:lab
Registration for exam:Directly with the lecturer
continual assessment


The students have deepened basic knowledge of the various imaging techniques and can apply image processing techniques, which are not limited to medical imaging. The students have learned to implement algorithms in Matlab and to optimize technical solutions with the help of simulation environments. One of the key qualifications is the ability to handle complex designs. Furthermore, the experiments were done in small teams and the students learned to prepare technical reports (protocols).


This practical course deepens the basics of ultrasound imaging techniques and image registration in 4 experiments. The experiments are carried out on several consecutive dates. The focus is on ultrasound imaging techniques. In the first experiment on ultrasound imaging, the basics of sound reflection and attenuation and signal processing as well as the formation of the ultrasound B-image are taught. Based on this, an ultrasonic transducer will be optimized using FEM programs in a further experiment. FEM transducer models, equivalent circuit diagrams and design criteria for ultrasonic transducers are presented. The experiment on the field simulation of sound wave propagation deals with the array design and design criteria for ultrasonic transducer arrays. Methods of beamforming, imaging artifacts and different scanning methods are investigated with the simulation program Field II, so that students can gain practical experience with field simulations. The last experiment covers the topic of image registration. The application example of computer-assisted surgery will be used to show how different image data can be fused. For this purpose, known algorithms have to be implemented in Matlab and then tested in a given experimental set-up.



recommended knowledge

Content of the lectures: Ultrasound technology in medicine, Tomographic imaging methods, Biomedical Image Processing


  1. Buzug, Thorsten M. "Einführung in die Computertomographie. Mathematisch-physikalische Grundlagen der Bildrekonstruktion", Springer, 2007
  2. Oppelt, Arnulf "Imaging Systems for Medical Diagnostics", Publicis Corporate Publishing, 2005


Registration is via the e-learning portal Moodle of Ruhr University Bochum. You will receive the necessary information in the preliminary discussion.

Another preliminary discussion will take place on Monday, 15.10.2018, in ID 04/232.

Only for Master students!