POSTDOC POSITION IN DEEP LEARNING IN ULTRASOUND IMAGING FOR DOSIMETRY IN RADIOTHERAPY
The closing date for this job submission has passed.
The postdoc project is part of a large research effort (called “Amphora”) at the European level on developing a new sensor system that enables measuring local radiation dose in-situ. Hereto, superheated nanodroplets or encapsulated microbubbles will be used as local sensors to radiation that can be read out using ultrasound waves. Please visit www.amphora-project.eu for more detailed information.
The aim of this postdoc project is to develop a novel methodology to read out the acoustic signature changes of the nanodroplets and microbubbles due to radiation using deep learning methodologies. While quantifying the effect of radiation on the nanodroplets involves an image deconvolution process, the effect of microbubbles will be estimated based on changes in attenuation. The latter problem will be considered a multi-task learning problem where both the overall context and the local attenuation need to be extracted. The developed methodology will extensively be validated in experimental setups (both in-vitro and in-vivo).
- email redacted
- Related URL
- KU Leuven
- Topic Categories
- Leuven, Vlaams Brabant, Belgium
- Closing Date
- June 30, 2020