Vacancy No. IPE 05-18
IPE 05-18 Bachelor- / Master Thesis: Temperature model for a ultrasound computer tomography demonstrator
At KIT a novel imaging method, called 3DUSCTII, is under development. In this method ultrasound signals are used (A-Scans, ultrasound pressure over time) to reconstruct 3D image volumes of the female breast for early breast cancer diagnosis. For a demonstrator 157 ultrasound transducer
array systems (so called TAS, see Fig. 2) were designed and built. The transducers act as receiver or emitter and are positioned around a measurement container (see Fig.1, centre in the patient bed). The used transducers have typically a centre frequency of 2.5 MHz and the USCT method uses therefore water as contact medium. In the USCT system are two calibrated PT100 temperature sensors and one integrated low accuracy temperature sensor per TAS, providing two sources of
temperature with varying spatial and temporal resolution and quality.
For the USCT imaging methods soundspeed knowledge uncertainties over the image volume should be smaller than ~ 0.5m/s (for ~0.2mm resolution), which corresponds also to temperature variations of ~0.25°C (at 35°C). Therefore a good knowledge of the temperature in the measurement container over time
and space is required. Influences on the Temperature model are on one hand the errors of the measurement devices, the heating and cooling sources (water evaporation, electronic devices heating, human body heating), water layering effects, noise in the DAQ system, and the sparsity of the available data (over time and space). To achieve optimal imaging results a more accurate and advanced model of the temperature in the measurement container is required.
- Knowledge about sensors and DAQ chains
- programming knowledge required (specifically Matlab)
- basic mathematics, statistics
Institute for Data Processing and Electronics (IPE)
as soon as possible
6 months work
Michael Zapf firstname.lastname@example.org
Please apply online using the button below for this vacancy number IPE 05-18.
Personnel support is provided by
phone: +49 721 608-25184,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
If qualified, handicapped applicants will be preferred.