Vacancy No. IPE 23-30
IPE 23-20 Master Thesis: Characterization and finite element modelling of piezoelectric micromachined ultrasound transducers
At the Institute of Data Processing and Electronics (IPE), a new method for early breast cancer detection is investigated. A full 3D ultrasound aperture is used for tomographic imaging of the breast. This allows multimodal (e.g. speed of sound or reflectivity) image reconstruction simultaneously. Fig. 1 shows the 2nd generation prototype of the Ultrasound Computer Tomography (USCT) device.
The current device uses bulk piezo transducers for generating and receiving the ultrasound signals. For future USCT generations, a significant higher number of transducers and a higher integration density is desirable. Therefore, different transducer concepts are currently under investigation. A promising technology are piezoelectric micromachined ultrasound transducers (PMUTs). Fig. 2 shows the basic idea and functionality of such devices.
The thesis encompasses the following topics
- Introduction of USCT technology: imaging approach, current transducer design, basics of reconstruction algorithms and requirements for future transducers.
- Literature research on PMUTs in ultrasound; summarizing key performance indicators such as sensitivity, center frequency and bandwidth.
- Simplified analytical description of PMUT design (equivalent circuit model).
- Finite element model of single PMUT cell using COMSOL with emphasis on electromechanical impedance analysis and ultrasound characteristics (pressure, frequency response, far-field beam, SNR, cross talk, emitting and receiving performance).
- Model validation using 3D ultrasound testing environment with available PMUT prototypes.
- Virtual design optimization.
- Report writing and documentation of the process, software and data used and created.
- Basic antenna/sensor/wave field theory.
- Scripting and programming experience.
- Basic understanding of signal processing chain theory and practice (Fourier analysis, digital filters).
- Usage of “good practice” engineering tools (concurrent and versioning tools such as GitLab)
- Experience in finite element modelling, preferably with COMSOL.
- Experience using Matlab (statistical evaluation, signal processing and visualization).
- Experience in analog circuit design, impedance analysis.
Field of study: Electrical, mechanical or medical engineering, applied physics
Institute for Data Processing and Electronics (IPE)
as soon as possible
limited regarding study regulations
Contact person in line-management
Martin Angerer; +49 721 / 608 24114; Martin.Angerer@kit.edu,
Michael Zapf; +49 721 / 608 22406; Michael.Zapf@kit.edu
Please apply online using the button below for this vacancy number IPE 23-30.
Personnel support is provided by
phone: +49 721 608-25184,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Recognized severely disabled persons will be preferred if they are equally qualified.